Release Notes - 13 September 2022 Updates
Explore the new features added in this update!
Updated on: 13 September 2022
| Feature | Description |
|---|---|
| On-boarding an off-boarded user | A user who is off-boarded from the Lazsa Platform can now be on-boarded again. When you on-board the user, the user goes into Deactviated state. You can activate the user by initiating the activation process. See Users, Roles, Teams, and Organization Hierarchy. |
| Grouping team members into current, past and future groups | The Teams tab of User Management now has the functionality of grouping team members according to their allocation period into Current, Past, and Future.This provides visibility into available resources and efficient management of resources. See Edit Team. |
| Enhanced filtering capability for Reports tab of Dashboards | The Reports tab of the Dashboards workspace now has enhanced filtering capability. This ensures that users can view just the required information by applying filters to important columns. See Reports Dashboard. |
| Release Notes can be created for products participating in a release | The Lazsa Platform now lets you create Release Notes for the features of a product associated with a release. You can use the Edit Release option to add the required information to the release notes. You can consolidate release notes for various features participating in the release. See Join a Release. |
| Product and feature milestones are now combined in a single view. |
The Roadmap tab of Dashboards now provides a unified view for product milestones and feature milestones with complete visibility into the roadmap. See Roadmaps Dashboard. |
| Dropdown values can be set for mandatory and optional fields | The Lazsa Platform now lets you configure and manage fields with dropdown values for product, release, users from the Dropdown Field Values tab of Settings. This allows you to define the values for mandatory and optional fields and enables users to add new values if required. See Dropdown Field Values. |
| Scheduling of tasks using Schedulers |
With this update, the Schedulers feature is now available in the Lazsa platform. Using the feature, you can configure schedules for AIOps data collection for following options:
To know more, see Schedulers |
| Lazsa Platform tools support extended to additional tools |
The Lazsa Platform now integrates with the following tools:
For updated information, see Tools and Technologies Integrated with Lazsa Platform |
| Support for connectivity to RDBMS through Lazsa Orchestrator Agent | The Lazsa Platform now supports connectivity to the following RDBMS - MySQL, MS SQL, Postgre SQL, Oracle, and Snowflake through Lazsa Orchestrator Agent, where pipelines are created using any of the above RDBMS. |
| Password protect functionality for Databricks | The password protect functionality (Secure connection details with password) of Lazsa Platform is now extended to Databricks instances that are configured for the Data Integration stage in a pipeline. |
| Support for connectivity to crawlers through Orchestrator agent | Lazsa Data Pipeline Studio now supports connectivity through Orchestrator Agent for crawling metadata from MYSQL, MS SQL, Postgre SQL, Oracle, and Snowflake. |
| Edit or update of Amazon AppFlow | Lazsa Data Pipeline Studio now supports editing a job that is created using Amazon AppFlow for a data ingestion pipeline. Editing and updating of the following fields is currently supported: description, source connection, destination properties, and tasks. |