Release Notes - 21 October 2022 Updates
Explore the new features added in this update!
Updated on: 21 October 2022
| Feature | Description |
|---|---|
| Add and delete milestones from Feature Roadmap view | Earlier in the Lazsa platform, you could view the milestones of the feature and edit the timelines of the milestones from Feature Roadmap screen. The functionality is extended from this release onwards. You can now add and delete milestones from the Feature Roadmap screen. See View Feature Roadmap. |
| Mapping stories of features to fix version of a release | In the Lazsa platform when a feature joins a release, the fix version of the release is automatically applied to the epics, stories, tasks, and defects of the feature. Similarly when you descope a feature from a release, the fix version of the release is removed from all the epics, stories, defects, and tasks of that feature. |
| Stories renamed to User Stories in the Lazsa platform | The term Stories (this refers to stories from the agile tool) that appears on the user interface of the Lazsa platform is now replaced with the term User Stories. |
| Release details from multiple release trains are now available in a single view | In the Release Trains tab of dashboards, you can now select multiple release trains and view all the releases of those release trains on the timeline. You can select a release and view the details of that release. Additionally you can also view all the details of the products that have joined that release. See Release Trains Dashboard |
| Support of auto termination and init scripts for Databricks cluster | Lazsa Data Pipeline Studio now supports auto termination and init scripts for databricks configuration. While the auto termination feature helps control infrastructure costs, init scripts install custom libraries, launch background processes or apply security policies. |
| Support for data profiling with Snowflake | Lazsa Data Pipeline Studio provides support for data profiling with Snowflake as part of the Data Quality stage that you can add to your data pipeline. |
| Support for executing Terraform scripts stored in source code repository | You can now execute Terraform scripts that are stored in a source code repository by using Terraform Cloud or standalone Terraform CLI and by creating Jenkins pipelines from within the Lazsa platform. |
| Shared stage in deployment workflow for multiple features of a product | Now, you can share a stage in the deployment workflow of a feature across other features of the same product. This helps users share the common resources available across different features that share a stage. |
| New version of Lazsa Orchestrator Agent is available | The Lazsa Orchestrator Agent is updated to a new version. On the Lazsa Orchestrator Agents screen, click Update Available for instructions to upgrade the agent to the latest available version. See Updating Lazsa Orchestrator Agent . |