BAAR Ver: V15.20_MsSQL
Impacted Users: BAAR Administrators
Description: We are pleased to announce a new feature to the Vault plugin in BAAR 8, which allows the Vault plugin node to now receive tokens from both plain text inputs and other nodes, such as script invokers. When passing a Vault token in a key-value pair format from another node, it is crucial to use the key name ‘vault_token’ to ensure the token is processed correctly. Using any other key name could lead to errors, such as incorrectly saving the first key as the token. This update enhances flexibility and security in managing Vault tokens within BAAR workflows, ensuring more reliable token handling.
BHM Ver: 8.4.0
Impacted Users: Developers
Description: We are excited to announce the creation of a separate core module in our backend microservice architecture. This new module improves maintenance and development efficiency by isolating core functionalities. It lays the groundwork for easier statistical analysis based on logs, with a dedicated statistical analysis module planned for inclusion in the upcoming version. This change aims to streamline backend processes and enhance overall system performance.
BHM Ver: 8.5.0
Impacted Users: Developers
Description: We are excited to introduce an upgrade to our logging system with the implementation of detailed text-based file logging across all four microservices in BHM. This enhancement provides more granular and comprehensive logging information, allowing us to capture and analyze every error more thoroughly. With these improvements, we can gain better insights into system issues, which will significantly enhance our ability to troubleshoot and resolve problems effectively.
BAAR Ver: V15.21
Impacted Users: BAAR Administrators, End Users, and Developers
Description: We are excited to announce an enhancement to the Vault plugin in BAAR 8. This update allows the Vault plugin node to accept Vault tokens from both plain text and other nodes, increasing its flexibility. When using key-value pairs to provide tokens, ensure the key name is set to ‘vault_token’ to avoid incorrect token saving. This enhancement simplifies token management and improves the accuracy and functionality of the plugin.
ALM Ver: 3.0.0
Impacted Users: End Users and Developers
Description: We are excited to introduce a new feature to the ALM Requests Closer workflow. The workflow now automatically closes requests in the Request Tracker after verifying specific statuses. Specifically, it will close parent requests in the “users_app_map_trackers” table if the corresponding requests in the “application_integration_trackers” table meet either of these conditions:
This enhancement streamlines request management and ensures more accurate closure of requests based on defined criteria.
ALM Ver: 3.0.0
Impacted Users: End Users
Description: We are pleased to announce the onboarding of the BRNET application as part of a proof of concept (POC) within the ALM User Creation scripts. This new feature ensures that any user creation requests for the BRNET application are now fully supported and processed by the workflow. This integration allows for streamlined and automated handling of user creation within the BRNET application, enhancing the overall efficiency and functionality of the system.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the ALM module for ACL Generation and Transformation. The workflow now supports executing custom Python scripts, providing enhanced flexibility and automation capabilities. This addition allows users to tailor the process to specific needs and improve efficiency in handling ACL-related tasks.
ALM Ver: 8.3.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the ALM module for ACL Generation and Transformation. The workflow now supports executing custom Python scripts, providing enhanced flexibility and automation capabilities. This addition allows users to tailor the process to specific needs and improve efficiency in handling ACL-related tasks.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new, standalone Process Controller workflow within the ALM – Process Controller module. Built with our new architecture, this workflow operates independently from the old workflows, ensuring no dependencies or interactions with them. This enhances the modularity of our system and simplifies future updates and maintenance. Users can expect a more robust and efficient workflow, designed to meet modern application needs.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are pleased to announce a significant enhancement to the Process Controller workflow. A new capability has been introduced that allows the workflow to be invoked at specified intervals. This feature enhances automation and timing control, enabling workflows to be triggered at regular intervals as defined by the user. This improvement streamlines processes, increases efficiency, and provides greater flexibility in managing workflow execution schedules.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to introduce a new feature in the Process Controller workflow. This update allows the workflow to detect and identify processes based on different request types. By monitoring the change type attribute of incoming requests, the workflow can now recognize and categorize each request accurately. It then triggers the appropriate processes based on predefined settings. This enhancement streamlines operations and ensures that each request is handled correctly, providing users with a more dynamic and efficient workflow management experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a significant enhancement to the Process Controller workflow. This release introduces a new feature that generates a parent-child relationship between each process flow and its sub-flows of the Process Controller workflow. This capability establishes a clear hierarchical relationship, allowing users to better visualize and manage the connections between main process flows and their associated sub-flows. This improvement enhances the organization and traceability of complex workflows, providing a more structured and efficient workflow management experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a new functionality in the Process Controller workflow. This update introduces the ability to invoke multiple primary workflows in parallel, currently at the alpha stage (In the alpha stage, the ALM product is still being developed). This enhancement significantly boosts efficiency and multitasking capabilities by allowing simultaneous execution of primary workflows. This new feature streamlines operations and optimizes performance, marking a substantial improvement in workflow management and execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Onboarding” workflow has been renamed to “ALM – User Onboarding.” This change better reflects the purpose and function of this workflow within the ALM module. This update aims to enhance clarity that ALM (Access Lifecycle Management) – User Onboarding workflow will onboard and manage user access to an organization’s resources and systems throughout the entire lifecycle of a user’s interaction with the organization.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce the upgrade of all MsSQL Connector V1 nodes to MsSQL Connector V2 plugins within the “ALM – User Onboarding” workflow. This update enhances functionality and performance by replacing outdated V1 nodes with advanced V2 plugins. The upgrade ensures improved compatibility, reliability, and efficiency in database operations, aligning with our commitment to delivering optimized workflows. Users can expect enhanced capabilities and seamless integration with MsSQL databases, supporting smoother and more robust workflow execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce improved error handling in the “ALM – User Onboarding” workflow. This update adds detailed error handling, making it easier to detect and resolve issues. Now, the workflow updates the job log whenever an error occurs, which helps with tracking and troubleshooting. This enhancement ensures better workflow integrity and visibility, providing users with a more reliable and smooth onboarding experience.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to announce the addition of a new capability in the “ALM – User Onboarding” workflow: the ability to execute custom Python scripts. This update enhances flexibility and automation by allowing users to incorporate custom Python scripts directly into their workflows. Now, users can leverage Python’s powerful scripting capabilities to further customize and automate user onboarding processes . This enhancement expands the workflow’s functionality, empowering users to achieve greater efficiency and customization in their operations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce an important improvement to the ‘ALM – User Onboarding’ workflow: it can now automatically detect if the previous workflow has finished. This update ensures smooth sequencing and execution by automatically checking
the completion status of the preceding workflow. With this new feature, users will experience more reliable and efficient processes, reducing the need for manual oversight and leading to smoother transitions and improved operational efficiency.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to introduce a new feature in the ‘ALM – User Onboarding’ workflow: continuous rechecking for new requests. This update makes the workflow more responsive by constantly monitoring for new tasks, ensuring timely processing and seamless integration. By actively rechecking for requests, the workflow boosts efficiency and reduces delays, improving overall performance and user satisfaction. This feature demonstrates our commitment to delivering dynamic and responsive workflow solutions, enabling smoother operations and better task management.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce a new feature in the ‘ALM – User Onboarding’ workflow: the ability to invoke child workflows, currently in alpha stage. This update allows the main workflow to execute subordinate workflows, improving modularity and task management. With this capability, users can streamline complex processes, enhance workflow organization, and achieve greater efficiency. This feature significantly advances workflow flexibility and management, providing users with improved capabilities for modular task execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce the introduction of enhanced traceability and compliance features in the “ALM – User Onboarding” workflow. This update includes the capability to update audit and job logs, significantly enhancing traceability and compliance efforts. By integrating these logging capabilities, the workflow now provides detailed records of activities and job executions, improving transparency and accountability throughout the user onboarding process. This enhancement underscores our commitment to robust workflow management and ensures that organizations can maintain rigorous compliance standards with comprehensive audit trails.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce an improvement in the ‘ALM – User Onboarding’ workflow: target application configurations are now fetched using a redesigned database architecture. This update improves accuracy and efficiency in retrieving configurations. The new database architecture enhances performance and reliability, optimizing the user onboarding process. This enhancement demonstrates our commitment to providing robust and efficient workflow solutions, enabling seamless integration and operation across different application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce that the ‘Application Provisioning User Deletion’ workflow has been renamed to ‘ALM – User Offboarding.’ This change better aligns the workflow’s name with its purpose of managing user deletions. The new name enhances clarity and reflects the workflow’s role in efficiently offboarding users from applications. This update is part of our ongoing efforts to improve workflow naming conventions and ensure better alignment with user needs and expectations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Offboarding” workflow have been upgraded to MsSQL Connector V2 plugins. This upgrade enhances the functionality and performance of the workflow by replacing outdated V1 nodes with advanced V2 plugins. Users can expect improved compatibility, reliability, and efficiency in database operations, resulting in a more robust and efficient user offboarding process. This update underscores our commitment to providing cuttingedge solutions and ensuring optimal performance across all workflows.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce the introduction of granular error handling in the “ALM – User Offboarding” workflow. This enhancement is designed to improve the detection and resolution of issues by implementing detailed error handling mechanisms. With granular error handling, the workflow can now identify and address specific errors more effectively, ensuring smoother operation and reducing potential disruptions during user offboarding processes. This update reflects our commitment to enhancing workflow reliability and user experience by providing robust error management capabilities.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to announce a new capability in the “ALM – User Offboarding” workflow: the ability to execute custom Python scripts. This enhancement enables users to integrate and run custom Python scripts within the workflow, enhancing flexibility and automation capabilities. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, automate tasks, and streamline the user offboarding process. This update underscores our commitment to providing versatile and powerful workflow solutions that cater to diverse user needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce a major improvement in the “ALM – User Offboarding” workflow. This update adds the ability for the workflow to automatically check if the previous workflow has finished. This ensures proper sequencing and reduces delays in the offboarding process. With this new self-detection feature, users can expect smoother and more reliable offboarding tasks. This enhancement reflects our commitment to optimizing workflow automation and improving user experience.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to introduce a new feature in the “ALM – User Offboarding” workflow: continuous rechecking for new requests. This enhancement ensures timely processing and responsiveness by enabling the workflow to continuously monitor for incoming requests. By incorporating continuous request rechecking, the workflow can promptly handle new tasks and updates, improving overall efficiency in managing user offboarding processes. This update reflects our commitment to enhancing workflow agility and responsiveness, enabling smoother operations and quicker response times for user requests.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Offboarding” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature allows for the execution of subordinate workflows within the main workflow, enhancing modularity and enabling hierarchical task execution. By enabling the invocation of child workflows, users gain flexibility in organizing and managing complex offboarding operation.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a new feature in the “ALM – User Offboarding” workflow: the capability to update audit and job logs. This enhancement improves traceability and compliance by enabling the workflow to maintain updated records of audit and job activities. With this update, users can track and monitor all operations within the offboarding process more effectively, ensuring transparency and adherence to compliance requirements. This feature reinforces our commitment to providing robust workflow solutions that enhance operational visibility and governance.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce an enhancement in the “ALM – User Offboarding” workflow. Target application configurations are now retrieved using a new database design, which improves accuracy and efficiency. This update boosts performance and reliability in fetching critical configurations, optimizing the offboarding process. This enhancement highlights our commitment to delivering effective workflow solutions and seamless integration across various application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Reactivation” workflow has been renamed to “ALM – User Reactivation.” This name change better aligns with the workflow’s purpose of managing user reactivation within application provisioning processes. The new name enhances clarity and directly communicates the workflow’s role in reactivating users efficiently. This update is part of our ongoing efforts to improve workflow naming conventions and ensure better alignment with user needs and expectations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to introduce detailed error handling in the “ALM – User Reactivation” workflow. This update improves how the workflow detects and resolves specific errors, leading to smoother operations and fewer disruptions during user reactivation. With this enhancement, errors are managed more effectively, reflecting our commitment to better workflow reliability and user experience.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce a new capability in the “ALM – User Reactivation” workflow: the ability to execute custom Python scripts. This enhancement enables users to integrate and run custom Python scripts within the workflow, enhancing flexibility and automation capabilities. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, automate tasks, and streamline the user reactivation process. This update underscores our commitment to providing versatile and powerful workflow solutions that cater to diverse user needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a key enhancement in the “ALM – User Reactivation” workflow. This update adds the ability to automatically check if the previous workflow has finished. This feature ensures proper sequencing and reduces delays, improving efficiency and reliability in reactivation tasks. This change highlights our commitment to optimizing workflow automation and enhancing user experience.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to introduce a new feature in the “ALM – User Reactivation” workflow: continuous rechecking for new requests. This enhancement ensures timely processing and responsiveness by enabling the workflow to continuously monitor for incoming requests. By incorporating continuous request rechecking, the workflow can promptly handle new tasks and updates, improving overall efficiency in managing user reactivation processes. This update reflects our commitment to enhancing workflow agility and responsiveness, enabling smoother operations and quicker response times for user requests.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Reactivation” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature allows for the execution of subordinate workflows within the main workflow, enhancing modularity and enabling hierarchical task execution. By enabling the invocation of child workflows, users gain flexibility in organizing and managing complex user reactivation processes more efficiently. This update underscores our commitment to providing robust and scalable workflow solutions that cater to diverse organizational needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of a new feature in the “ALM – User Reactivation” workflow: the capability to update audit and job logs. This enhancement enhances traceability and compliance by allowing the workflow to maintain updated records of audit and job activities. With this update, users can track and monitor all operations within the user reactivation process more effectively, ensuring transparency and adherence to compliance requirements. This feature reinforces our commitment to providing robust workflow solutions that improve operational visibility and governance.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a major improvement in the “ALM – User Reactivation” workflow with a new database design for fetching target application configurations. This update allows users to dynamically onboard applications within BAARIGA for various use cases like User Onboarding and Offboarding, which was not possible before. Users can now provide specific details for application connectors, including API info, login credentials (for UI automations if APIs are unavailable), and automation scripts. This enhancement greatly improves flexibility and scalability in managing application integrations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Deactivation” workflow has been renamed to “ALM – User Deactivation.” This name change better reflects the workflow’s purpose and aligns with our naming conventions. The functionality remains the same, ensuring a seamless transition for users. This update is part of our ongoing efforts to improve clarity and usability within our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Deactivation” workflow have been upgraded to MsSQL Connector V2 plugins. This upgrade enhances functionality and performance, providing a more robust and efficient workflow. Users can now benefit from improved database interactions and greater reliability. This update underscores our commitment to continually enhancing our platform to deliver superior performance and user experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of granular error handling in the “ALM – User Deactivation” workflow. This enhancement significantly improves the detection and resolution of issues by providing more detailed and precise error information. With granular error handling, users can identify and address problems more efficiently, ensuring smoother and more reliable workflow execution. This update highlights our dedication to continuously improving the robustness and user-friendliness of our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce the capability to execute custom Python scripts within the “ALM – User Deactivation” workflow. This new feature adds flexibility and enhances automation, allowing users to integrate custom logic and processes seamlessly into the workflow. By supporting custom Python scripts, we aim to provide greater control and customization options, enabling users to tailor the workflow to their specific needs. This update exemplifies our commitment to delivering powerful and adaptable tools to our users.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce an enhancement to the “ALM – User Deactivation” workflow, which can now automatically detect whether the preceding workflow has completed its execution. This self-detection capability ensures proper sequencing, allowing for smoother and more efficient workflow execution. By ensuring that workflows execute in the correct order, we improve overall process reliability and user experience. This update reflects our ongoing commitment to enhancing the functionality and robustness of our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the “ALM – User Deactivation” workflow that enables continuous rechecking for new requests. This enhancement ensures that the workflow is always responsive and processes requests in a timely manner. By continuously monitoring for new inputs, we improve the efficiency and effectiveness of the deactivation process, ensuring that no requests are missed and all are handled promptly. This update underscores our commitment to providing high-performing and reliable workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the “ALM – User Deactivation” workflow that constantly checks for new requests. This improvement keeps the workflow responsive and ensures requests are processed quickly. By always watching for new inputs, we make the deactivation process more efficient and effective, ensuring no requests are missed and all are handled promptly. This update shows our commitment to providing reliable and high-performing workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to introduce the capability to update audit and job logs in the “ALM – User Deactivation” workflow. This enhancement significantly improves traceability and compliance by ensuring that all actions within the workflow are accurately recorded and logged. Users can now benefit from detailed tracking and better oversight of the deactivation processes, ensuring a higher level of accountability and transparency.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “ALM – User Deactivation” workflow now fetches target application configurations according to the redesigned database architecture. This update ensures higher accuracy and efficiency in accessing configurationdata, leading to more reliable and streamlined deactivation processes. Users will experience improved performance and reduced errors with this enhanced architecture.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce that the “Application Provisioning User Details Change” workflow has been renamed to “ALM – User Amendment.” This change has been made to better reflect the workflow’s purpose and functionality. The new name aligns more closely with its role in managing user detail changes, enhancing clarity and understanding for users. This update is part of our ongoing efforts to improve the usability and coherence of our workflow naming conventions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Amendment” workflow have been upgraded to MsSQL Connector V2 plugins. This update enhances the workflow’s functionality and performance by replacing the outdated V1 nodes with advanced V2 plugins. Users can expect improved compatibility, reliability, and efficiency in database operations, resulting in a more robust and efficient user amendment process. This upgrade underscores our commitment to providing cutting-edge solutions and ensuring optimal performance across all workflows.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce the implementation of granular error handling in the “ALM – User Amendment” workflow. This enhancement significantly improves the detection and resolution of issues by introducing detailed error handling mechanisms. With granular error handling, users can expect more precise identification of errors and more effective troubleshooting, leading to increased reliability and efficiency in the user amendment process. This update reflects our commitment to enhancing workflow robustness and ensuring smooth, uninterrupted operations.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to announce the addition of a new capability in the “ALM – User Amendment” workflow: the ability to execute custom Python scripts. This enhancement allows users to integrate and run custom Python scripts within the workflow, providing greater flexibility and automation options. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, improving the overall efficiency and adaptability of the user amendment process. This update underscores our commitment to delivering versatile and powerful workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce a new enhancement in the “ALM – User Amendment” workflow: the capability to automatically detect whether the previous workflow has completed its execution. This feature ensures proper sequencing by allowing the workflow to verify the completion status of preceding workflows. This improvement enhances the reliability and efficiency of the user amendment process, ensuring smooth transitions and minimizing potential disruptions. This update is part of our ongoing efforts to optimize workflow management and execution.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are excited to announce an enhancement in the “ALM – User Amendment” workflow: the capability to continuously recheck for new requests. This feature ensures timely processing and enhances the responsiveness of the workflow by actively monitoring for incoming requests. By incorporating continuous rechecking, the workflow can promptly address new tasks, improving overall efficiency and effectiveness in the user amendment process. This update reinforces our commitment to delivering dynamic and responsive workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description:We are pleased to announce a new capability in the “ALM – User Amendment” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature enables the execution of subordinate workflows within the main workflow, enhancing modularity and hierarchical task management. By allowing the invocation of child workflows, users can streamline complex processes and improve workflow organization, leading to more efficient and structured task execution. This enhancement is part of our commitment to providing flexible and powerful workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are pleased to announce the addition of a new feature in the “ALM – User Amendment” workflow: the capability to update audit and job logs. This enhancement improves traceability and compliance by enabling the workflow to maintain detailed records of its activities and job executions. With this update, users can achieve better monitoring and accountability within the user amendment process, ensuring that all actions are thoroughly documented and easily traceable. This feature reinforces our commitment to providing robust and compliant workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We are excited to announce an enhancement in the “ALM – User Amendment” workflow: configurations of target applications are now fetched according to a redesigned database architecture. This update ensures improved accuracy and efficiency in retrieving target application configurations. By leveraging the redesigned database architecture, the workflow enhances performance and reliability in fetching critical configurations, thereby optimizing the user amendment process. This enhancement reflects our commitment to providing robust and efficient workflow solutions, enabling seamless integration and operation across diverse application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:The “ALM – User Access Modification” workflow has been upgraded by replacing all MsSQL Connector V1 nodes with MsSQL Connector V2 plugins. This enhancement aims to improve functionality and performance, ensuring more efficient operations within the workflow.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:In the latest update to the “ALM – User Access Modification” workflow, we’ve added granular error handling. This feature improves the workflow’s ability to detect and address specific errors during user access modifications. It provides more detailed error messages and insights, making troubleshooting easier and ensuring smoother execution of access modifications. This enhancement enhances the workflow’s reliability and maintains strong error management practices.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description:In the latest update to the “ALM – User Access Modification” workflow, we have introduced the capability to execute custom Python scripts. This new feature empowers users to enhance automation and flexibility within the workflow. Users can now seamlessly integrate custom Python scripts tailored to their specific needs, enabling advanced customization and automation of user access modifications. This enhancement not only expands the functionality of the workflow but also provides users with greater control and adaptability in managing user access across their systems.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:In the latest update to the “ALM – User Access Modification” workflow, we have enhanced the workflow’s sequencing capabilities. Now, the workflow canautomatically detect the completion status of the preceding workflow. This new feature ensures seamless and proper sequencing of tasks, allowing for efficient execution of user access modifications. By automating the detection of workflow completion, users can maintain a smooth and uninterrupted workflow process, enhancing overall operational efficiency and reliability.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description:In the “ALM – User Access Modification” workflow, we’ve introduced a new feature to continuously recheck for requests. This enhancement ensures that the workflow continuously monitors for new requests, facilitating timely processing and maintaining responsiveness. By incorporating this capability, users can rely on the workflow to promptly handle updates and modifications to user access, improving overall efficiency and agility in access management operations.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description:In the “ALM – User Access Modification” workflow, we’ve introduced the ability to invoke a child workflow, currently in its alpha stage. This new feature enables the execution of subordinate workflows, enhancing modularity and supporting hierarchical task management within the workflow structure. By incorporating this capability, users can now arrange complex access modification tasks more efficiently, leveraging nested workflows for streamlined operations and enhanced flexibility in user access management processes.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Access Modification” workflow, we’ve added a new capability to update audit and job logs. This enhancement allows the workflow to maintain comprehensive logs, improving traceability and compliance with organizational requirements. By logging critical activities and job statuses, users can now track modifications to user access more effectively, ensuring transparency and accountability throughout the workflow execution process.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:In the “ALM – User Access Modification” workflow, we’ve implemented a redesign of the database architecture for fetching target application configurations. This update ensures that configurations are retrieved with enhanced accuracy and efficiency, aligning seamlessly with the workflow’s operational requirements. By leveraging the redesigned architecture, users can expect more reliable and optimized retrieval of application settings, contributing to smoother execution and configuration management within the workflow environment.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:In the “ALM – User Access Modification” workflow, we’ve consolidated the functionalities of role change, addition, and deletion previously handled by separate processes. This update integrates these operations into a unified workflow, enhancing efficiency and simplifying user access management. By consolidating role management tasks, users can now seamlessly execute role changes within a single, streamlined process, ensuring consistent and efficient management of user access across applications.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We’ve renamed the “Application Provisioning Password Reset” workflow to “ALM – User Password Reset” to better align with its primary purpose. This update ensures clarity and consistency in workflow naming, making it easier for users to identify and utilize the workflow for password reset operations within the ALM framework.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:We’ve upgraded all MsSQL Connector V1 nodes to the latest MsSQL Connector V2 plugins within the ALM – User Password Reset workflow. This upgrade brings enhanced functionality and improved performance to database interactions, ensuring smoother execution of password reset operations. Users can now benefit from upgraded capabilities that optimize workflow efficiency and reliability.
ALM Ver: 3.0.0
Impacted Users: Developers
Description:In the “ALM – User Password Reset” workflow, we have introduced granular error handling to enhance issue detection and resolution. This update ensures that errors are pinpointed more accurately during password reset operations, enabling quicker resolutions and smoother user experiences. Users can now expect improved reliability and robustness in handling errors encountered during the password reset process.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description:In the “ALM – User Password Reset” workflow, we’ve introduced the capability to execute custom Python scripts. This update enables greater flexibility and automation within the password reset process, empowering administrators to customize workflows according to specific needs. With this enhancement, users can seamlessly integrate custom Python scripts into their password reset operations, enhancing efficiency and adaptability in user management tasks.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: In the “ALM – User Password Reset” workflow, we’ve implemented a new selfdetection feature. Now, the workflow can autonomously detect whether the preceding workflow has completed its execution. This enhancement ensures proper sequencing and avoids potential issues that may arise from executing tasks out of order. Users can now rely on the workflow’s automated detection capabilities to streamline password reset processes effectively.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: We’ve incorporated a new feature in the ALM – User Password Reset workflow that continuously rechecks for new requests. This enhancement ensures timely processing and responsiveness, allowing the workflow to promptly address password reset requests as they arise, thereby improving overall efficiency and user experience.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description:We’ve introduced the ability to invoke a child workflow in the ALM – User Password Reset workflow, currently at the alpha stage. This feature supports the execution of subordinate workflows, enabling modular and hierarchical task execution. This enhancement allows for more flexible and structured workflow processes, improving task management and efficiency.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we’ve introduced the capability to update audit and job logs. This enhancement allows the workflow to maintain comprehensive audit trails and job logs, significantly improving traceability and ensuring compliance with regulatory requirements. Users can now track and monitor password reset activities more effectively, enhancing overall security and accountability within their operations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we’ve enhanced the efficiency by redesigning the database architecture for fetching target application configurations. This update ensures that target application configurations are retrieved with improved accuracy and efficiency. By leveraging the redesigned database architecture, users can expect streamlined operations and optimized performance when executing password reset tasks, enhancing overall workflow reliability and responsiveness.
BHM Ver: 8.3.0
Impacted Users: End Users and Developers
Description: We are excited to introduce the new vault auto-sync method, which ensures that any changes in the vault are automatically reflected in the corresponding inputs. This enhancement guarantees data integrity by maintaining consistent and up-to-date information across the system. We are committed to continuously improving our services and appreciate your feedback as we strive to provide reliable and efficient solutions.
BHM Ver: 8.3.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of multiprocessing in our backend microservice. Multiprocessing is a technique where multiple processes run at the same time, each handling different tasks. This approach is applied to the Backend microservices which are small, independent services that work together to support the main functions of an application. By converting from multithreading to multiprocessing, we have significantly improved the handling of CPU-intensive tasks. This enhancement will result in better performance and efficiency for our backend processes. We remain committed to optimizing our services and appreciate your feedback as we continue to enhance our platform.
Resolved Issues:
I)None to report
BAAR Ver: V15.19_MsSQL
Impacted Users: BAAR Administrators
Description: We are excited to announce the latest enhancements to the BAAR resources sharing functionality. Admins can now share BAAR resources with users seamlessly, with the added ability to view all resources created by other users, providing better oversight and management. Additionally, a new feature allows admins to select all users and an option to select all resources simultaneously, streamlining the sharing process. These updates aim to improve collaboration and resource management within the BAAR platform. We appreciate your feedback as we continue to enhance your user experience.
BHM Ver: 8.2.3
Impacted Users: Developers
Description: We are pleased to announce significant improvements to the backendfunctionality of the BHM microservice. We have addressed and fixed thread issues by adding random seeds in each thread, which has resolved the problem of thread blocking. These changes have resulted in enhanced performance and reliability of the BHM backend microservice. We are committed to continually improving our services and appreciate your feedback as we strive for excellence.
BHM Ver: 8.2.3
Impacted Users: Developers
Description: We are pleased to announce an important update to the BHM functionality for MongoDB. The BHM has been adjusted to run as a normal user within MongoDB, enhancing the security of the database. This change ensures that database access is primarily controlled by the DBA (Database Administrator) client team, improving overall data protection and management. We remain dedicated to providing secure and efficient services and value your ongoing feedback.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce the addition of a new, standalone workflow within the ALM – Process Controller module, named Process Controller workflow. This workflow has been developed according to our new architecture and operates independently from the previous workflows. Unlike the existing workflows, this new workflow does not rely on or interact with the old workflow framework, ensuring a clear separation and eliminating any dependencies. This change not only enhances the modularity of our system but also simplifies future updates and maintenance. Users can expect a more robust and efficient process controller workflow, tailored to meet the evolving demands of modern applications
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are pleased to announce a significant enhancement to the Process Controller workflow. A new capability has been introduced that allows the workflow to be invoked at specified intervals. This feature enhances automation and timing control, enabling workflows to be triggered at regular intervals as defined by the user. This improvement streamlines processes, increases efficiency, and provides greater flexibility in managing workflow execution schedules.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce a new feature in the Process Controller workflow. This update introduces the ability to detect and identify processes associated with different types of requests. The workflow can now intelligently recognize and categorize processes based on the request type, enhancing its versatility and efficiency. By monitoring the change type attribute of incoming requests, the workflow can accurately identify the type of each request. Based on this identification, the workflow invokes the appropriate processes according to predefined configurations. This improvement streamlines operations, ensuring that processes are handled appropriately according to the nature of the requests, and provides users with a more dynamic and responsive workflow management experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a significant enhancement to the Process Controller workflow. This release introduces a new feature that generates a parent-child relationship between each process flow and its sub-flows of the Process Controller workflow. This capability establishes a clear hierarchical relationship, allowing users to better visualize and manage the connections between main process flows and their associated sub-flows. This improvement enhances the organization and traceability of complex workflows, providing a more structured and efficient workflow management experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a new functionality in the Process Controller workflow. This update introduces the ability to invoke multiple primary workflows in parallel, currently at the alpha stage (In the alpha stage, the ALM product is still being developed). This enhancement significantly boosts efficiency and multitasking capabilities by allowing simultaneous execution of primary workflows. This new feature streamlines operations and optimizes performance, marking a substantial improvement in workflow management and execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Onboarding” workflow has been renamed to “ALM – User Onboarding.” This change better reflects the purpose and function of this workflow within the ALM module. This update aims to enhance clarity that ALM (Access lifecycle management) – User Onboarding workflow will onboard and manage user access to an organization’s resources and systems throughout the entire lifecycle of a user’s interaction with the organization.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce the upgrade of all MsSQL Connector V1 nodes to MsSQL Connector V2 plugins within the “ALM – User Onboarding” workflow. This update enhances functionality and performance by replacing outdated V1 nodes with advanced V2 plugins. The upgrade ensures improved compatibility, reliability, and efficiency in database operations, aligning with our commitment to delivering optimized workflows. Users can expect enhanced capabilities and seamless integration with MsSQL databases, supporting smoother and more robust workflow execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the implementation of granular error handling in the “ALM – User Onboarding” workflow. Granular error handling in the ALM – User Onboarding workflow refers to the practice of handling errors at a very detailed level within the workflow. This update enhances the detection and resolution of issues by introducing detailed error handling mechanisms. Additionally, the workflow now updates the job log whenever errors occur, ensuring comprehensive tracking and easier troubleshooting. This improvement helps maintain workflow integrity and provides better visibility into workflow operations. This enhancement reinforces our commitment to delivering robust and efficient workflow solutions, providing users with a more seamless and dependable experience during user onboarding processes.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce the addition of a new capability in the “ALM – User Onboarding” workflow: the ability to execute custom Python scripts. This update enhances flexibility and automation by allowing users to incorporate custom Python scripts directly into the workflow. Now, users can leverage Python’s powerful scripting capabilities to further customize and automate user onboarding processes according to specific needs. This enhancement expands the workflow’s functionality, empowering users to achieve greater efficiency and customization in their operations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a significant enhancement in the “ALM – User Onboarding” workflow: the capability to self-detect whether the preceding workflow has completed its execution. This update introduces automatic detection of the completion status of the previous workflow, ensuring seamless sequencing and execution. By autonomously verifying workflow readiness, this feature enhances reliability and efficiency, streamlining user onboarding processes. Users can now benefit from improved workflow orchestration and reduced manual oversight, leading to enhanced operational efficiency and smoother workflow transitions.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to introduce a new feature in the “ALM – User Onboarding” workflow: continuous rechecking for new requests. This update enhances workflow responsiveness by continuously monitoring for new requests, ensuring timely processing and seamless integration of incoming tasks. By actively rechecking for requests, the workflow optimizes efficiency and reduces latency, enhancing overall performance and user satisfaction. This feature reinforces our commitment to delivering dynamic and responsive workflow solutions, enabling smoother operations and improved task management capabilities.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Onboarding” workflow: the ability to invoke child workflows, currently available in alpha stage. This update enables the execution of subordinate workflows within the main workflow, enhancing modularity and hierarchical task management. By incorporating child workflow invocation, users can streamline complex processes, improve workflow organization, and achieve greater efficiency in task execution. This feature marks a significant advancement in workflow flexibility and management, providing users with enhanced capabilities for modular task execution.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of enhanced traceability and compliance features in the “ALM – User Onboarding” workflow. This update includes the capability to update audit and job logs, significantly enhancing traceability and compliance efforts. By integrating these logging capabilities, the workflow now provides detailed records of activities and job executions, improving transparency and accountability throughout the user onboarding process. This enhancement underscores our commitment to robust workflow management and ensures that organizations can maintain rigorous compliance standards with comprehensive audit trails.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce an enhancement in the “ALM – User Onboarding” workflow: configurations of target applications are now fetched according to a redesigned database architecture. This update ensures improved accuracy and efficiency in retrieving target application configurations. By leveraging the redesigned database architecture, the workflow enhances performance and reliability in fetching critical configurations, thereby optimizing the user onboarding process. This enhancement reflects our commitment to providing robust and efficient workflow solutions, enabling seamless integration and operation across diverse application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Deletion” workflow has been renamed to “ALM – User Offboarding.” This change has been made to better align the workflow’s name with its purpose of managing user deletions. The new name enhances clarity and reflects the workflow’s role in offboarding users from applications efficiently. This update is part of our ongoing efforts to improve workflow naming conventions and ensure better alignment with user needs and expectations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Offboarding” workflow have been upgraded to MsSQL Connector V2 plugins. This upgrade enhances the functionality and performance of the workflow by replacing outdated V1 nodes with advanced V2 plugins. Users can expect improved compatibility, reliability, and efficiency in database operations, resulting in a more robust and efficient user offboarding process. This update underscores our commitment to providing cuttingedge solutions and ensuring optimal performance across all workflows.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of granular error handling in the “ALM – User Offboarding” workflow. This enhancement is designed to improve the detection and resolution of issues by implementing detailed error handling mechanisms. With granular error handling, the workflow can now identify and address specific errors more effectively, ensuring smoother operation and reducing potential disruptions during user offboarding processes. This update reflects our commitment to enhancing workflow reliability and user experience by providing robust error management capabilities
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce a new capability in the “ALM – User Offboarding” workflow: the ability to execute custom Python scripts. This enhancement enables users to integrate and run custom Python scripts within the workflow, enhancing flexibility and automation capabilities. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, automate tasks, and streamline the user offboarding process. This update underscores our commitment to providing versatile and powerful workflow solutions that cater to diverse user needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a significant enhancement in the “ALM – User Offboarding” workflow: the capability to automatically detect whether the previous workflow has completed its execution. This feature enables the workflow to autonomously verify the completion status of preceding workflows, ensuring proper sequencing and minimizing delays in user offboarding processes. By implementing self-detection of workflow completion, users can expect improved efficiency and reliability in managing offboarding tasks. This update underscores our commitment to optimizing workflow automation and enhancing user experience through intelligent workflow management capabilities.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to introduce a new feature in the “ALM – User Offboarding” workflow: continuous rechecking for new requests. This enhancement ensures timely processing and responsiveness by enabling the workflow to continuously monitor for incoming requests. By incorporating continuous request rechecking, the workflow can promptly handle new tasks and updates, improving overall efficiency in managing user offboarding processes. This update reflects our commitment to enhancing workflow agility and responsiveness, enabling smoother operations and quicker response times for user requests.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Offboarding” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature allows for the execution of subordinate workflows within the main workflow, enhancing modularity and enabling hierarchical task execution. By enabling the invocation of child workflows, users gain flexibility in organizing and managing complex offboarding operation.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a new feature in the “ALM – User Offboarding” workflow: the capability to update audit and job logs. This enhancement improves traceability and compliance by enabling the workflow to maintain updated records of audit and job activities. With this update, users can track and monitor all operations within the offboarding process more effectively, ensuring transparency and adherence to compliance requirements. This feature reinforces our commitment to providing robust workflow solutions that enhance operational visibility and governance.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce an enhancement in the “ALM – User Offboarding” workflow: configurations of target applications are now fetched according to a redesigned database architecture. This update ensures improved accuracy and efficiency in retrieving target application configurations. By leveraging the redesigned database architecture, the workflow enhances performance and reliability in fetching critical configurations, thereby optimizing the user offboarding process. This enhancement reflects our commitment to providing robust and efficient workflow solutions, enabling seamless integration and operation across diverse application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Reactivation” workflow has been renamed to “ALM – User Reactivation.” This name change better aligns with the workflow’s purpose of managing user reactivation within application provisioning processes. The new name enhances clarity and directly communicates the workflow’s role in reactivating users efficiently. This update is part of our ongoing efforts to improve workflow naming conventions and ensure better alignment with user needs and expectations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of granular error handling in the “ALM – User Reactivation” workflow. Granular error handling refers to the practice of handling errors at a very detailed level within a software application. This enhancement aims to improve the detection and resolution of issues by implementing detailed errorhandling mechanisms. With granular error handling, the workflow can now identify and address specific errors more effectively, ensuring smoother operation and reducing potential disruptions during user reactivation processes. This update reflects our commitment to enhancing workflow reliability and user experience by providing robust error management capabilities.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce a new capability in the “ALM – User Reactivation” workflow: the ability to execute custom Python scripts. This enhancement enables users to integrate and run custom Python scripts within the workflow, enhancing flexibility and automation capabilities. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, automate tasks, and streamline the user reactivation process. This update underscores our commitment to providing versatile and powerful workflow solutions that cater to diverse user needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a significant enhancement in the “ALM – User Reactivation” workflow: the capability to automatically detect whether the previous workflow has completed its execution. This feature enables the workflow to autonomously verify the completion status of preceding workflows, ensuring proper sequencing and minimizing delays in user reactivation processes. Users can expect improved efficiency and reliability in managing reactivation tasks by implementing self-detection of workflow completion. This update underscores our commitment to optimizing workflow automation and enhancing user experience through intelligent workflow management capabilities.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to introduce a new feature in the “ALM – User Reactivation” workflow: continuous rechecking for new requests. This enhancement ensures timely processing and responsiveness by enabling the workflow to continuously monitor for incoming requests. By incorporating continuous request rechecking, the workflow can promptly handle new tasks and updates, improving overall efficiency in managing user reactivation processes. This update reflects our commitment to enhancing workflow agility and responsiveness, enabling smoother operations and quicker response times for user requests.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Reactivation” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature allows for the execution of subordinate workflows within the main workflow, enhancing modularity and enabling hierarchical task execution. By enabling the invocation of child workflows, users gain flexibility in organizing and managing complex user reactivation processes more efficiently. This update underscores our commitment to providing robust and scalable workflow solutions that cater to diverse organizational needs.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of a new feature in the “ALM – User Reactivation” workflow: the capability to update audit and job logs. This enhancement enhances traceability and compliance by allowing the workflow to maintain updated records of audit and job activities. With this update, users can track and monitor all operations within the user reactivation process more effectively, ensuring transparency and adherence to compliance requirements. This feature reinforces our commitment to providing robust workflow solutions that improve operational visibility and governance.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce a significant enhancement in the “ALM – User Reactivation” workflow: the adoption of a redesigned database architecture for fetching target application configurations. The redesigned database architecture now allows users to dynamically onboard applications within BAARIGA for various use cases such as User Onboarding and Offboarding, which was previously not possible. Users can now provide specific details for application connectors per use case, including API information, login credentials (for UI automations if APIs are unavailable), and scripts to automate these processes. This enhancement significantly improves flexibility and scalability in managing application integrations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Deactivation” workflow has been renamed to “ALM – User Deactivation.” This name change better reflects the workflow’s purpose and aligns with our naming conventions. The functionality remains the same, ensuring a seamless transition for users. This update is part of our ongoing efforts to improve clarity and usability within our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Deactivation” workflow have been upgraded to MsSQL Connector V2 plugins. This upgrade enhances functionality and performance, providing a more robust and efficient workflow. Users can now benefit from improved database interactions and greater reliability. This update underscores our commitment to continually enhancing our platform to deliver superior performance and user experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the introduction of granular error handling in the “ALM – User Deactivation” workflow. This enhancement significantly improves the detection and resolution of issues by providing more detailed and precise error information. With granular error handling, users can identify and address problems more efficiently, ensuring smoother and more reliable workflow execution. This update highlights our dedication to continuously improving the robustness and user-friendliness of our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce the capability to execute custom Python scripts within the “ALM – User Deactivation” workflow. This new feature adds flexibility and enhances automation, allowing users to integrate custom logic and processes seamlessly into the workflow. By supporting custom Python scripts, we aim to provide greater control and customization options, enabling users to tailor the workflow to their specific needs. This update exemplifies our commitment to delivering powerful and adaptable tools to our users.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce an enhancement to the “ALM – User Deactivation” workflow, which can now automatically detect whether the preceding workflow has completed its execution. This self-detection capability ensures proper sequencing, allowing for smoother and more efficient workflow execution. By ensuring that workflows execute in the correct order, we improve overall process reliability and user experience. This update reflects our ongoing commitment to enhancing the functionality and robustness of our platform.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the “ALM – User Deactivation” workflow that enables continuous rechecking for new requests. This enhancement ensures that the workflow is always responsive and processes requests in a timely manner. By continuously monitoring for new inputs, we improve the efficiency and effectiveness of the deactivation process, ensuring that no requests are missed and all are handled promptly. This update underscores our commitment to providing high-performing and reliable workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce a new feature in the “ALM – User Deactivation” workflow that constantly checks for new requests. This improvement keeps the workflow responsive and ensures requests are processed quickly. By always watching for new inputs, we make the deactivation process more efficient and effective, ensuring no requests are missed and all are handled promptly. This update shows our commitment to providing reliable and high-performing workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to introduce the capability to update audit and job logs in the “ALM – User Deactivation” workflow. This enhancement significantly improves traceability and compliance by ensuring that all actions within the workflow are accurately recorded and logged. Users can now benefit from detailed tracking and better oversight of the deactivation processes, ensuring a higher level of accountability and transparency.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “ALM – User Deactivation” workflow now fetches target application configurations according to the redesigned database architecture. This update ensures higher accuracy and efficiency in accessing configuration data, leading to more reliable and streamlined deactivation processes. Users will experience improved performance and reduced errors with this enhanced architecture.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce that the “Application Provisioning User Details Change” workflow has been renamed to “ALM – User Amendment.” This change has been made to better reflect the workflow’s purpose and functionality. The new name aligns more closely with its role in managing user detail changes, enhancing clarity and understanding for users. This update is part of our ongoing efforts to improve the usability and coherence of our workflow naming conventions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce that all MsSQL Connector V1 nodes in the “ALM – User Amendment” workflow have been upgraded to MsSQL Connector V2 plugins. This update enhances the workflow’s functionality and performance by replacing the outdated V1 nodes with advanced V2 plugins. Users can expect improved compatibility, reliability, and efficiency in database operations, resulting in a more robust and efficient user amendment process. This upgrade underscores our commitment to providing cutting-edge solutions and ensuring optimal performance across all workflows.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the implementation of granular error handling in the “ALM – User Amendment” workflow. This enhancement significantly improves the detection and resolution of issues by introducing detailed error handling mechanisms. With granular error handling, users can expect more precise identification of errors and more effective troubleshooting, leading to increased reliability and efficiency in the user amendment process. This update reflects our commitment to enhancing workflow robustness and ensuring smooth, uninterrupted operations.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce the addition of a new capability in the “ALM – User Amendment” workflow: the ability to execute custom Python scripts. This enhancement allows users to integrate and run custom Python scripts within the workflow, providing greater flexibility and automation options. By incorporating custom scripting capabilities, users can tailor the workflow to meet specific requirements, improving the overall efficiency and adaptability of the user amendment process. This update underscores our commitment to delivering versatile and powerful workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new enhancement in the “ALM – User Amendment” workflow: the capability to automatically detect whether the previous workflow has completed its execution. This feature ensures proper sequencing by allowing the workflow to verify the completion status of preceding workflows. This improvement enhances the reliability and efficiency of the user amendment process, ensuring smooth transitions and minimizing potential disruptions. This update is part of our ongoing efforts to optimize workflow management and execution.
ALM Ver: 3.0.0
Impacted Users: Developers and End Users
Description: We are excited to announce an enhancement in the “ALM – User Amendment” workflow: the capability to continuously recheck for new requests. This feature ensures timely processing and enhances the responsiveness of the workflow by actively monitoring for incoming requests. By incorporating continuous rechecking, the workflow can promptly address new tasks, improving overall efficiency and effectiveness in the user amendment process. This update reinforces our commitment to delivering dynamic and responsive workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce a new capability in the “ALM – User Amendment” workflow: the ability to invoke child workflows, currently available in the alpha stage. This feature enables the execution of subordinate workflows within the main workflow, enhancing modularity and hierarchical task management. By allowing the invocation of child workflows, users can streamline complex processes and improve workflow organization, leading to more efficient and structured task execution. This enhancement is part of our commitment to providing flexible and powerful workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are pleased to announce the addition of a new feature in the “ALM – User Amendment” workflow: the capability to update audit and job logs. This enhancement improves traceability and compliance by enabling the workflow to maintain detailed records of its activities and job executions. With this update, users can achieve better monitoring and accountability within the user amendment process, ensuring that all actions are thoroughly documented and easily traceable. This feature reinforces our commitment to providing robust and compliant workflow solutions.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We are excited to announce an enhancement in the “ALM – User Amendment” workflow: configurations of target applications are now fetched according to a redesigned database architecture. This update ensures improved accuracy and efficiency in retrieving target application configurations. By leveraging the redesigned database architecture, the workflow enhances performance and reliability in fetching critical configurations, thereby optimizing the user amendment process. This enhancement reflects our commitment to providing robust and efficient workflow solutions, enabling seamless integration and operation across diverse application environments.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: The “ALM – User Access Modification” workflow has been upgraded by replacing all MsSQL Connector V1 nodes with MsSQL Connector V2 plugins. This enhancement aims to improve functionality and performance, ensuring more efficient operations within the workflow.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the latest update to the “ALM – User Access Modification” workflow, a new feature has been implemented to introduce granular error handling. This enhancement focuses on improving the workflow’s capability to detect and resolve issues more effectively during its execution. By introducing granular error handling, the workflow can now identify specific errors or exceptions that occur during operations related to user access modifications. This capability not only enhances the reliability of the workflow but also streamlines the troubleshooting process by providing more detailed error messages and insights into potential issues. Overall, this update ensures smoother execution of user access modifications while maintaining robust error management practices.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: In the latest update to the “ALM – User Access Modification” workflow, we have introduced the capability to execute custom Python scripts. This new feature empowers users to enhance automation and flexibility within the workflow. Users can now seamlessly integrate custom Python scripts tailored to their specific needs, enabling advanced customization and automation of user access modifications. This enhancement not only expands the functionality of the workflow but also provides users with greater control and adaptability in managing user access across their systems.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the latest update to the “ALM – User Access Modification” workflow, we have enhanced the workflow’s sequencing capabilities. Now, the workflow can automatically detect the completion status of the preceding workflow. This new feature ensures seamless and proper sequencing of tasks, allowing for efficient execution of user access modifications. By automating the detection of workflow completion, users can maintain a smooth and uninterrupted workflow process, enhancing overall operational efficiency and reliability.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: In the “ALM – User Access Modification” workflow, we’ve introduced a new feature to continuously recheck for requests. This enhancement ensures that the workflow continuously monitors for new requests, facilitating timely processing and maintaining responsiveness. By incorporating this capability, users can rely on the workflow to promptly handle updates and modifications to user access, improving overall efficiency and agility in access management operations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Access Modification” workflow, we’ve introduced the ability to invoke a child workflow, currently in its alpha stage. This new feature enables the execution of subordinate workflows, enhancing modularity and supporting hierarchical task management within the workflow structure. By incorporating this capability, users can now arrange complex access modification tasks more efficiently, leveraging nested workflows for streamlined operations and enhanced flexibility in user access management processes.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Access Modification” workflow, we’ve added a new capability to update audit and job logs. This enhancement allows the workflow to maintain comprehensive logs, improving traceability and compliance with organizational requirements. By logging critical activities and job statuses, users can now track modifications to user access more effectively, ensuring transparency and accountability throughout the workflow execution process.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Access Modification” workflow, we’ve implemented a redesign of the database architecture for fetching target application configurations. This update ensures that configurations are retrieved with enhanced accuracy and efficiency, aligning seamlessly with the workflow’s operational requirements. By leveraging the redesigned architecture, users can expect more reliable and optimized retrieval of application settings, contributing to smoother execution and configuration management within the workflow environment.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Access Modification” workflow, we’ve consolidated the functionalities of role change, addition, and deletion previously handled by separate processes. This update integrates these operations into a unified workflow, enhancing efficiency and simplifying user access management. By consolidating role management tasks, users can now seamlessly execute role changes within a single, streamlined process, ensuring consistent and efficient management of user access across applications.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We’ve renamed the “Application Provisioning Password Reset” workflow to “ALM – User Password Reset” to better align with its primary purpose. This update ensures clarity and consistency in workflow naming, making it easier for users to identify and utilize the workflow for password reset operations within the ALM framework
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We’ve upgraded all MsSQL Connector V1 nodes to the latest MsSQL Connector V2 plugins within the ALM – User Password Reset workflow. This upgrade brings enhanced functionality and improved performance to database interactions, ensuring smoother execution of password reset operations. Users can now benefit from upgraded capabilities that optimize workflow efficiency and reliability.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we have introduced granular error handling to enhance issue detection and resolution. This update ensures that errors are pinpointed more accurately during password reset operations, enabling quicker resolutions and smoother user experiences. Users can now expect improved reliability and robustness in handling errors encountered during the password reset process.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: In the “ALM – User Password Reset” workflow, we’ve introduced the capability to execute custom Python scripts. This update enables greater flexibility and automation within the password reset process, empowering administrators to customize workflows according to specific needs. With this enhancement, users can seamlessly integrate custom Python scripts into their password reset operations, enhancing efficiency and adaptability in user management tasks.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we’ve implemented a new selfdetection feature. Now, the workflow can autonomously detect whether the preceding workflow has completed its execution. This enhancement ensures proper sequencing and avoids potential issues that may arise from executing tasks out of order. Users can now rely on the workflow’s automated detection capabilities to streamline password reset processes effectively.
ALM Ver: 3.0.0
Impacted Users: Developers & End Users
Description: We’ve incorporated a new feature in the ALM – User Password Reset workflow that continuously rechecks for new requests. This enhancement ensures timely processing and responsiveness, allowing the workflow to promptly address password reset requests as they arise, thereby improving overall efficiency and user experience.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: We’ve introduced the ability to invoke a child workflow in the ALM – User Password Reset workflow, currently at the alpha stage. This feature supports the execution of subordinate workflows, enabling modular and hierarchical task execution. This enhancement allows for more flexible and structured workflow processes, improving task management and efficiency.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we’ve introduced the capability to update audit and job logs. This enhancement allows the workflow to maintain comprehensive audit trails and job logs, significantly improving traceability and ensuring compliance with regulatory requirements. Users can now track and monitor password reset activities more effectively, enhancing overall security and accountability within their operations.
ALM Ver: 3.0.0
Impacted Users: Developers
Description: In the “ALM – User Password Reset” workflow, we’ve enhanced the efficiency by redesigning the database architecture for fetching target application configurations. This update ensures that target application configurations are retrieved with improved accuracy and efficiency. By leveraging the redesigned database architecture, users can expect streamlined operations and optimized performance when executing password reset tasks, enhancing overall workflow reliability and responsiveness
ALM Ver: 6.0.0
Impacted Users: End Users
Description: We have introduced an enhanced feature for reverse synchronization in the user management process. When users are restored in Active Directory (AD) after being off-boarded through BAAR-IGA, they will now be automatically reverse onboarded/restored in the BUD system as well. This enhancement ensures that the user status remains consistent and synchronized between AD and BUD, streamlining the restoration process and improving overall system integrity and user management efficiency.
ALM Ver: No version change
Impacted Users: End Users
Description: We’ve introduced a new feature that delivers a consolidated spreadsheet report for Identity Lifecycle Management (ILM) requests to the DCB team via email at the end of each day. This report includes all ILM requests processed during the day, presented in a specified format, enhancing tracking and analysis of daily ILM activities.
ALM Ver: 6.0.5
Impacted Users: End Users
Description: We have upgraded our backend with an advanced logging and archiving system in the BAAR-IGA Heath Monitoring System Tool. This enhancement improves the ability to track and troubleshoot issues by providing more detailed and comprehensive logs. Additionally, the new archiving system ensures that logs are stored efficiently for longterm access and compliance purposes, helping to maintain data integrity and support regulatory requirements.
ALM Ver: 6.1.0
Impacted Users: End Users
Description: We have enhanced the synchronization between Active Directory (AD) and BAAR Universal Directory (BUD). Users who are manually onboarded in AD but fail to be onboarded in BUD despite having a valid onboarding request will now be automatically synchronized. This improvement ensures consistent user onboarding across both systems, reducing discrepancies and enhancing operational efficiency.
ALM Ver: 6.1.1
Impacted Users: End Users
Description: We have improved the mailbox creation process by handling special characters more effectively. Special characters are now excluded from all fields received from the HRMS API during mailbox creation, ensuring smoother and error-free mailbox setup. This enhancement improves data integrity and reliability in the mailbox creation workflow.
BAAR Ver:V15.18_MsSQL
Impacted Users:BAAR Administrators
Description: We are pleased to announce a new feature in BAAR 8 that enhances log management and system performance. This release introduces the automatic deletion of logs older than a specified number of days, configurable via a file. This enhancement helps manage disk space efficiently and ensures that outdated logs are regularly purged, maintaining optimal system performance.
BAAR Ver:V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are thrilled to announce a highly anticipated feature in the latest release of BAAR: the ability for multiple users to collaborate on various resources within the platform. Previously, access to components, data, vaults, workflow editors, and workflow players was limited to a single user. With the introduction of resource sharing, users can now collaborate seamlessly, enhancing productivity and efficiency. This new feature empowers teams to work together more effectively, driving better outcomes and streamlined operations.
BHM Ver: 6.0.3
Impacted Users:Developers
Description: We have implemented several improvements to the backend code for the find matching job functions. This update resolves existing bugs and optimizes the code for better performance and reusability. As a result, the job matching process is now more efficient, reliable, and easier to maintain, ensuring smoother and more accurate operations.
ALM Ver:2.2.0
Impacted Users: End Users
Description: We are pleased to announce the successful update of workflow names in the Process Controller as part of the Test ALM initiative. All workflow names have been renamed and updated across all relevant database tables to align with the proposed naming convention. This standardization ensures consistency and clarity in workflow management, improving overall system organization and ease of use.
ALM Ver:2.2.0
Impacted Users: End Users
Description: We are excited to announce the migration of all MsSQL nodes to MsSQL V2 nodes for the ALM – Notification Transformation workflow. This update is essential to leverage the advanced capabilities of the MsSQL V2 Node, particularly its support for externalizing database credentials. As a result, all MsSQL V1 Nodes have been replaced, ensuring enhanced security and flexibility in database management. This migration ensures the continued efficiency and reliability of the Notification Transformation workflow.
ALM Ver:2.2.0
Impacted Users: End Users
Description: We’re pleased to announce the migration of all MsSQL nodes to MsSQL V2 nodes for the ALM – Requests Closer workflow. This update ensures alignment with the latest technology standards and introduces enhanced security features by leveraging the capabilities of the MsSQL V2 Node. Notably, this version supports externalizing database credentials, a feature unavailable in the previous MsSQL V1 Node. As a result, all MsSQL V1 Nodes have been replaced, ensuring improved security and flexibility in database management. This migration guarantees the continued efficiency and reliability of the Requests Closer workflow.
BAAR Ver: V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are pleased to announce a new feature for the BAAR Locker that enhances tracking capabilities. Users can now see the creation and update timestamps for their lockers. This addition provides valuable information, allowing users to monitor the status and history of their lockers more effectively. This enhancement improves transparency and aids in better management of locker data.
BHM Ver: 6.0.0
Impacted Users: End Users
Description: We are excited to announce a significant security enhancement in this release: the ability to decrypt secrets without storing them. This improvement strengthens the security of credentials by ensuring that sensitive information is decrypted on-the-fly without being stored in the system. By eliminating the need for storage, we enhance data protection and reduce the risk of unauthorized access to sensitive information. This update reflects our commitment to continually improving the security posture of our platform.
BHM Ver: 6.0.1
Impacted Users: Developers
Description: We have fixed a bug in the SMTP email functionality related to the “to” and “cc” sections. This update ensures that emails are correctly sent to the specified recipients, improving the reliability and accuracy of email communication.
BHM Ver: 6.0.2
Impacted Users: Developers
Description: We have resolved an issue in the SMTP email functionality regarding the connection closing section. This bug fix ensures that SMTP connections are properly closed after sending emails, enhancing the stability and reliability of the email service.
ILM Ver: 5.1.2
Impacted Users:
Description: We are pleased to announce a new patch addressing the onboarding of users with the same name within the same Organizational Unit (OU) in Active Directory (AD). This update enhances the handling of failure scenarios that occur when adding users with identical common names (cn) to the same OU, ensuring a smoother and more reliable onboarding process. This patch improves system robustness and user management efficiency.
ILM Ver: 5.1.2
Impacted Users: Developers
Description: : We are pleased to announce a new patch for the offboarding process in BUD. This update addresses the issue of moving multiple users with the same name (common name) to the Deactivated OU. The patch improves the handling of failure scenarios that occur when attempting to move users with identical common names to the Deactivated OU, ensuring a more reliable and efficient offboarding process. This enhancement strengthens system robustness and improves user management.
BHM Ver:5.1.0
Impacted Users: End Users and Developers
Description: We are thrilled to announce the addition of vaults in MongoDB as part of this release. Vaults provide a secure storage mechanism for secrets, eliminating the need to repeatedly input credentials and enhancing overall security. With the introduction of vaults, secrets are encrypted at the time of input, ensuring their confidentiality as they are passed among microservices. This enhancement not only strengthens security but also streamlines input processes, contributing to a smoother and more efficient system operation.
ILM Ver:5.1.0
Impacted Users: End Users
Description: We are excited to announce the merging of several ILM workflows into a single, streamlined workflow. The workflows “BUD Onboarding,” “OU Assignment,” “Manager Assignment,” and “Group Assignment” have been consolidated to create a unified workflow. This integration aims to reduce execution time and improve efficiency, providing a smoother and faster onboarding process for BUD. This enhancement simplifies workflow management and enhances overall performance.
ILM Ver:5.1.0
Impacted Users: End Users
Description: We are pleased to announce the consolidation of several ILM workflow scripts into a single, comprehensive script. The scripts for “BUD Onboarding,” “OU Assignment,” “Manager Assignment,” and “Group Assignment” have been merged to create a unified script. This integration significantly reduces execution time, streamlining the BUD onboarding process and improving overall efficiency. This enhancement simplifies script management and accelerates workflow execution.
ILM Ver:5.1.0
Impacted Users: End Users
Description: We are excited to announce the integration of the “AD BUD Sync and Monitoring” workflow with the Process Controller. This integration incorporates process flow functionality into the AD BUD sync workflow, enabling it to seamlessly execute the next process in line. As a result, this enhancement reduces overall execution time and improves efficiency, streamlining operations and providing a more cohesive workflow experience.
ILM Ver:5.1.0
Impacted Users: End Users
Description: We are pleased to announce the integration of the “BAAR UD AD Operations” workflow with the Process Controller. This update integrates process flow functionality into the AD operation workflow, allowing it to seamlessly execute the next process. This enhancement reduces overall execution time, streamlines operations, and improves workflow efficiency, providing a more cohesive and efficient experience.
BAAR Ver:V15.17_MsSQL
Impacted Users: BAAR Administrators
Description: We are pleased to announce that the issue with exporting component data has been resolved. Previously, when users exported component data from the data page to an Excel file, data would shift to the left if there were blank cells. This update ensures that the exported data maintains its correct alignment, providing a more accurate and reliable Excel file output.
BHM Ver: 5.0.0
Impacted Users: Developers
Description: We are excited to announce the addition of MongoDB for data persistence in our system. Due to data persistence issues with Redis, we have integrated MongoDB to ensure reliable storage of our data. To facilitate centralized feature maintenance, we have created MongoDB and Redis APIs. As part of this update, the Redis bgsave functionality has been removed. This enhancement strengthens data reliability and system stability, providing a smoother user experience.
BHM Ver: 6.0.4
Impacted Users: Developers
Description: We have addressed an issue in the backend find matching processes where processes would incorrectly run even if the time exceeded by 10 minutes. With this fix, the matching job processes will now correctly halt if the time limit exceeds 10 minutes, ensuring better time management and system performance.
ILM Ver: 5.1.1
Impacted Users: End Users
Description: We are pleased to announce a new patch for the OU assignment process in BUD. This update addresses the issue of adding multiple users with the same name (common name) in the same Organizational Unit (OU). The patch improves the handling of failure scenarios when attempting to add users with identical common names to the same OU, ensuring a more robust and error-resistant process. This enhancement enhances system reliability and user management efficiency.
BAAR Ver: V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are delighted to announce a new feature in BAAR Studio that significantly enhances file organization and sharing capabilities. Users can now create folders and save specific data files, such as Python scripts, Excel sheets, and HTML documents, directly within the BAAR studio > tenant > resource > workflow > workflowName structure. Additionally, users can share these files across multiple workflows by selecting the ‘commons’ option during upload, saving the files to the BAAR studio > tenant > resource > workflow > commons directory. This improvement offers greater flexibility and efficiency in managing and accessing data files within BAAR Studio.
BAAR Ver: V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are pleased to announce a new feature in BAAR Studio that streamlines the installation of Python dependencies for workflows. Users can now upload wheel files directly within BAAR Studio, which are stored in the BAAR studio > tenant > resource > workflow > workflowName > wheel directory. Upon uploading, the wheel file is automatically installed. Users should ensure compatibility with the Python version and preinstall any necessary sub-dependency wheel files, especially in environments without internet access. This enhancement simplifies dependency management and improves workflow efficiency
BAAR Ver: V15.16_MsSQL
Impacted Users: BAAR Administrators
Description: We are excited to introduce the ability to delete component data within BAAR Studio. Users can now remove component data based on its usage within workflows. If the data is currently utilized in any workflows, deletion will be restricted until it is no longer in use. Users are responsible for ensuring that the data is not being used in any workflows before attempting deletion. This feature enhances data management by preventing accidental removal of active components, thereby maintaining workflow integrity.
BAAR Ver: V15.17_MsSQL
Impacted Users: BAAR Administrators
Description: We are excited to announce an important update that resolves the Concurrent Modification Exception in BAAR. Previously, simultaneous workflows attempting to access and close the log file could cause exceptions, disrupting workflow operations. This update ensures that multiple workflows can now run concurrently without encountering log access conflicts, providing a more stable and efficient workflow execution environment.
BHM Ver: 4.1.0
Impacted Users: Developers
Description: We are pleased to announce the addition of the Redis BGSAVE method to our background services for enhanced data persistence. This update integrates the Redis background save thread into the background service, ensuring more reliable and efficient data storage. This enhancement improves overall system stability and data integrity by periodically saving data snapshots in the background.
BAAR Ver: V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are pleased to announce the introduction of a new “Force Stop” feature for workflows in BAAR. This enhancement allows users to stop workflows mid-execution effectively. Previously, stopping a workflow might not have completely terminated all associated processes, leaving some files still active. The new “Force Stop” feature ensures that all instances of a running workflow, including all subtasks, are forcefully and completely terminated. This update resolves issues related to multiple job instances by clearing entries from the act_ru_job, act_ru_execution, and act_ru_variable tables, ensuring a thorough and efficient termination of workflows.
BAAR Ver: 4.0.1
Impacted Users: Developers
Description: We are excited to announce the integration of Redis queues across all services, enabling real-time triggers. This update enhances our system’s responsiveness and efficiency by leveraging Redis queues to manage and process tasks in real-time. Users can now experience improved performance and immediate task execution, ensuring a more dynamic and interactive experience.
BAAR Ver: V15.18_MsSQL
Impacted Users: BAAR Administrators
Description: We are excited to introduce new features to our workflow management system. Users can now install Python libraries using .whl files directly from BAAR. Additionally, we have added an “Import Script” button to the workflow listing page in the data table, allowing users to upload various types of files. When a user uploads a .whl file, it will be saved to BAAR studio/tenant/resource/workflow and automatically installed. These enhancements streamline the process of adding dependencies and improve overall workflow efficiency.
BHM Ver: 4.0.0
Impacted Users: End Users
Description: We are excited to announce the integration of SMS service into our API and backend application. This enhancement enables seamless SMS notifications and interactions, enhancing communication capabilities for our users. With SMS service now integrated, users can expect timely alerts and updates directly through their mobile devices, ensuring efficient and reliable communication channels.
BHM Ver: 3.1.0
Impacted Users: Developers
Description: We have enhanced our service communication by introducing hash sets for individual services. This update improves data retrieval efficiency, enhances security, and supports scalable interactions across our application architecture. By implementing hash sets, we ensure optimized performance and robust handling of service-specific data, reinforcing our commitment to efficiency and reliability.
BHM Ver: 3.0.0
Impacted Users: Developers
Description: We’ve restructured the application by dividing it into two distinct components: API and API Backend. This transition involves changing from a single, synchronous application to two asynchronous applications. This change enhances scalability and performance by allowing the components to operate independently and handle requests more efficiently. Additionally, a Redis-based common communicator has been implemented to facilitate seamless and efficient communication between the API and API Backend. This comprehensive overhaul aims to improve the modularity, responsiveness, and overall performance of the application.
ILM Ver: 5.0.0
Impacted Users: Developer and End User
Description: We are excited to announce significant enhancements to our Identity Lifecycle Management (ILM) workflows aimed at improving efficiency and performance. These modifications have been carefully crafted to optimize the overall algorithm of our ILM Workflows, resulting in faster, independent, and more efficient execution of each process. We have implemented optimizations in the algorithm of our ILM workflows to efficiently capture information about the next process workflow. This optimization allows for quicker data processing and decision-making, ultimately leading to improved overall performance.
BHM Ver: 2.7.1
Impacted Users: Developer and End User
Description: We are pleased to announce that the recent technical issue affecting the BHM temporary caching system has been resolved. Previously, the cache, which is used to prevent duplicate notifications, was being deleted automatically on a daily basis. This update includes a fix to ensure the cache remains intact, thus preventing the recurrence of duplicate notifications and improving the reliability of the BHM system.
BAAR Ver:V15.152_MsSQL
Impacted Users: Administrators
Description: In this release, we have improved the functionality of the Workflow Executor Node to include status information about the operations performed within the workflow. Now, when an operation is completed, the Workflow Executor Node will relay the status of that operation to the subsequent node in the workflow. For example, if an operation succeeds, the Workflow Executor Node will communicate a “success” status to the subsequent node, indicating that the operation was executed without any issues. Conversely, if an operation encounters an error or fails to complete successfully, the Workflow Executor Node will convey an appropriate error or failure status to the subsequent node, allowing for prompt identification and resolution of issues.
BHM Ver:2.6.1
Impacted Users: Developers
Description:We have enhanced the logging system by introducing thread safe logger functions. This update ensures that logging operations are executed safely in multithreaded environments, preventing potential data corruption and ensuring reliable logging across concurrent processes.
ILM Ver: 4.0.0
Impacted Users: Developers and End Users
Description:In this update, we have made significant optimizations to the algorithm used by the Process Controller, which serves as the core component of the Identity Lifecycle Management (ILM) process. These optimizations aim to improve the efficiency of the Process Controller in identifying and calculating the sequence of steps required for the ILM process for each user. The optimized algorithm enables the Process Controller to more accurately and swiftly determine the necessary steps for the ILM process for each user. By minimizing its reliance on itself, the overall processing time for the ILM process is significantly decreased.
BAAR Ver: V15.16_MsSQL
Impacted Users:Administrators
Description:In this release, we’ve resolved a critical bug that caused the Workflow Listing Page to encounter a 500-server exception error. The root cause of this issue was identified as missing tables necessary for the proper rendering of the page. With this update, we’ve addressed the issue by ensuring that all required tables are present and properly configured within the system. As a result, users can now navigate to the Workflow Listing Page without encountering any server exceptions or errors. Overall, this bug fix enhances the reliability an usability of the system, allowing users to seamlessly access and manage workflows without disruption.
ILM Ver: 3.1.0
Impacted Users: Developers
Description: In this update, we have implemented support for the latest database schema in our workflows. This new schema follows a more dynamic structure, which helps to minimize redundancy, promotes modularity, and better option for creating relational queries. Also, this will allow the latest Connector-based architecture to support custom connectors in the Data Sourcing module of ILM. With the adoption of the latest database schema, workflows now benefit from a more dynamic structure.
ILM Ver: 3.1.0
Impacted Users:
Description: In this update, we have made modifications to the Job Log table to enhance the interaction between the Process Controller Workflow and the Operations Workflow. Specifically, we have expanded the Job Log table to include fields for Workflow ID and Child Workflow information. These modifications optimize the Process Controller Workflow’s interaction with the Operations Workflow. The Process Controller Workflow generates the process flows and stores them in this modified Job Log table. The Operations Workflow then accesses this table to capture the generated process flows. Based on the information provided in the table, the Operations Workflow executes the next workflow sequentially, following the predefined sequence outlined in the table.
BUD Ver: 2.0.0
Impacted Users: Developers
Description: In this update, we’ve introduced a new capability that enables the synchronization of Security Groups and Organizational Units (OUs) between an Active Directory (AD) and the BAAR Universal Directory (BUD). As a result, user management and access control can be more effectively managed within the BUD, leveraging the existing organizational structure and security groups established in the AD. For example, when new security groups or OUs are created or modified in the AD, these changes will be automatically synchronized with the BUD. This ensures that user permissions and access rights within the BUD accurately reflect those defined in the AD, streamlining user management processes and maintaining consistency across systems.
BAAR Ver: V15.15_MsSql
Impacted Users: Administrators
Description: We are excited to introduce a new feature in BAAR that enhances workflow management and optimization. In this release, we have implemented the ability to store plugin process IDs (PIDs) and automatically terminate them when workflows are stopped. When a workflow starts, BAAR captures the process IDs of all associated plugins. These PIDs are then stored and monitored throughout the workflow execution. Upon stopping the workflow, BAAR automatically terminates all associated plugin processes, ensuring clean and efficient resource management. This enhancement improves the overall performance and stability of BAAR workflows, providing users with a smoother experience during workflow execution and termination.
ILM Ver: 3.0.0
Impacted Users: Developers and BAAR-IGA End Users
Description: In this release, we’ve enhanced the Identity Lifecycle Management (ILM) workflows to provide better notification capabilities following the completion of the Active Directory (AD) to BAAR Universal Directory (BUD) synchronization process. Now, users will receive notifications indicating successful onboarding both in the BUD system and in the AD, ensuring timely communication and transparency throughout the user provisioning process. The introduction of enhanced notification capabilities, in ILM workflows is expected to have a positive impact on user experience and operational efficiency.
ILM Ver: 3.0.0
Impacted Users: Developers
Description: In the latest update, we’ve improved the reactive change monitoring workflow to better support custom connector scripts stored in the database. Previously, the integration of custom connector scripts into the workflow was somewhat restricted. Now, users have the freedom to add and use their own connector scripts directly from the database, enhancing the workflow’s adaptability. These improvements mean users can customize the workflow to better suit their needs. By using custom connector scripts from the database, users can easily add new features, like connecting to external systems, carrying out specialized data processing tasks, and implementing unique business logic.
ALM Ver: 2.1.0
Impacted Users: Developers
Description: In this release, we have implemented a significant enhancement to the system’s security infrastructure. Specifically, we’ve devised a solution to ensure the integrity of Access Control List (ACL) data insertion into the database. This enhancement aims to prevent potential workflow manipulation arising from discrepancies in ACLs across different system components. Previously, SQL queries responsible for inserting ACL data into the database were executed directly, leaving room for inconsistencies and potential security vulnerabilities, particularly when dealing with diverse ACL configurations. To address this, we’ve introduced a streamlined process wherein such SQL queries are routed through the BAAR Component.
BHM Ver: S21-RI-BAAR-1st
Impacted Users: Administrators
Description: In this release, we have introduced the Group Action feature, a powerful addition to our workflow management capabilities. This feature empowers users to execute actions across multiple workflows simultaneously, enhancing efficiency and reducing the overhead of manual tasks. Previously, users had to perform actions individually on each workflow, leading to redundancy and inefficiency, especially when dealing with large sets of workflows. With the Group Action feature, users can now select a group of workflows and trigger actions that apply uniformly to all selected items. This functionality streamlines workflow management processes, saving time and effort for users who regularly perform repetitive tasks.
BAAR Ver: S21-RI-BAAR-2nd
Impacted Users: Administrator
Description: In this update, we’ve implemented group operations, which enable users to trigger actions on a set of players that belong to the same category or group. Instead of having to perform actions individually on each player, users can now execute actions simultaneously on all players within a specific category or group. Overall, this feature enhances workflow management by providing a more organized structure and simplifying the execution of actions across multiple workflows that share common characteristics or
BAAR-IGA Ver (DCB): 11.7.0
Impacted Users: End Users
Description: In this release, we’ve implemented a specific change targeted at improving the handling of termination requests within the BAAR-IGA system. This change ensures synchronization between the HRMS (Human Resource Management System) and BAARIGA, preventing the deactivation of users in the Active Directory (AD) when termination requests are removed from HRMS after being raised in BAAR-IGA. The implementation of this specific change in BAAR-IGA is expected to have a positive impact on user experience and system reliability. Users can now have greater confidence that termination requests accurately reflect HR status and that AD accounts remain unaffected by HRMS updates.
ALM Ver: 2.0.0
Impacted Users: Developers
Description: In this update, we’ve introduced the new User ID Generation Workflow, designed to automate the process of creating user IDs. With predefined rules in place, the User ID Generation Workflow automatically applies the appropriate criteria for generating user IDs, tailored to the specific requirements of each application. This ensures that user IDs are created efficiently and accurately, meeting the unique needs of each application within the ALM ecosystem.
BHM Ver: 2.7.0
Impacted Users: End Users
Description: In this update, we have introduced a new pluggable module designed explicitly for Aditya Birla Capital. This new BHM pluggable module enhances the monitoring capabilities of the system by providing real-time notifications via text message, ensuring timely awareness of critical events and enabling proactive management of system health and performance. Importantly, the option to enable or disable these text message notifications is configurable. Users have the flexibility to turn this feature on or off based on their preferences, specific needs, and organizational policies.
BHM Ver: 2.7.0
Impacted Users: BHM Users
Description: In this update, users can personalize the email body content according to their specific preferences and requirements. This customization capability empowers users to create more informative and actionable email notifications, ensuring that they receive relevant and valuable insights about the status and performance of their databases.
BAAR Ver: V15.11_MsSQL-studio
Impacted Users: Administrators
Description: In this update, we’ve introduced a powerful feature called Group Actions, designed to streamline workflow management. With Group Actions, users can now trigger actions that apply to a group of workflows simultaneously. This means that instead of having to perform the same action individually for each workflow, users can initiate actions across multiple workflows all at once. This feature significantly enhances efficiency by reducing the need for repetitive manual tasks. Users can now execute actions more efficiently and quickly, saving time and effort.
BHM Ver: 2.6.0
Impacted Users:Developers and Support Team
Description: In this release, we’ve significantly enhanced the capabilities of our BAAR Health Monitoring (BHM) system. Users can now evaluate the efficiency of their database connections by analyzing both read and write speeds across a set of databases. This means that they can identify which connections perform optimally, delivering the fastest response times for both reading data from and writing data to the databases. Additionally, users can pinpoint connections that may be experiencing slower performance, allowing them to address potential issues and optimize their database configurations for improved efficiency.
SSO Ver: Component Version No
Impacted Users:SSO Administrator
Description: In this update, we have introduced an API that is provided over BAAR-IGA. This API serves as a tool to perform various operations, leveraging the capabilities of the Identity Provider (IDP). Specifically, this API enables users to execute operations related to modification in user federation, realm application, and authentication flow within the BAARIGA environment
BUD Ver: 2.0.0
Impacted Users: Developers and Support Team
Description: In this release, we’ve introduced significant enhancements to BUD Workflows tailored for handling large data volumes. Instead of directly transferring data through BAAR memory, BUD Workflows utilize intermediate Excel files to pass intermediary data between nodes. This approach minimizes resource consumption and accelerates data transfer, resulting in enhanced efficiency and reduced processing time.
ILM Ver: 2.0.0
Impacted Users: Developers and Support Team
Description: In this release, we’ve introduced significant enhancements to ILM Workflows tailored for handling large data volumes. Instead of directly transferring data through BAAR memory, ILM Workflows utilize intermediate Excel files to pass intermediary data between nodes. This approach minimizes resource consumption and accelerates data transfer, resulting in enhanced efficiency and reduced processing time.
ILM Ver: 2.0.0
Impacted Users: Developers
Description: Previously, the Email ID Generation workflow used static rules for generating ADIDs (which stands for “Email Address Identifiers”). These rules were fixed and didn’t change based on different conditions or user preferences. However, in the updated version,the workflow now supports dynamic ADID generation rules. This means that users have the ability to create rules that can adjust and change automatically, depending on various factors such as specific criteria, user inputs, or changing conditions within the system. Overall, this enhancement provides users with more personalized and precise control over the ADID generation process.
BUD Ver: 2.0.0
Impacted Users: Developers and Support Team
Description: In this release, we’ve introduced significant enhancements to BUD Workflows tailored for handling large data volumes. Instead of directly transferring data through BAAR memory, BUD Workflows utilize intermediate Excel files to pass intermediary data between nodes. This approach minimizes resource consumption and accelerates data transfer, resulting in enhanced efficiency and reduced processing time.
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