Release Update 06/20/2025
Platform
Introducing Redesigned DataOps Wizard: A New Experience for Pipeline Management
The DataOps Wizard has been redesigned to offer a modern, intuitive, and streamlined interface for connecting, building, running, and monitoring data pipelines.
Designed for data engineers and analysts alike, the new DataOps Wizard simplifies the process of connecting tools and constructing complex data pipelines through an easy-to-use interface. This empowers users to streamline workflows and accelerate data delivery without requiring extensive technical expertise.
What’s New?
Accelerated Onboarding: Preconfigured steps reduce setup time from hours to minutes, allowing users to get started quickly.
Databricks Asset and SQL Pipeline Support: Full support for managing Databricks assets and Databricks SQL pipelines, enabling seamless integration and orchestration within your data workflows.
Flexible Pipeline Creation: Support for both sequential and parallel execution of steps enables users to design pipelines tailored to their specific workflow needs.
Comprehensive Connection Management: Easily add and manage integrations with popular tools such as Databricks, GitHub, GitLab, Bitbucket, and Azure DevOps.
Enhanced Visibility & Control: Access detailed pipeline execution logs, step configurations, and version control features, with the ability to export pipeline definitions back to Git repositories.
Introducing Tool Registry for Windsurf & Cursor
Opsera has expanded its tool registry by adding support for two advanced AI-powered developer tools: Windsurf and Cursor. This capability has significant value to development workflows through enhanced code assistance and automation capabilities.
Key Highlights:
Broader AI tool options within Opsera’s ecosystem.
Enhanced productivity through intelligent code suggestions and automation.
Support for diverse coding needs, from large-scale automation to rapid development.
Windsurf Tool Registration
Cursor Tool Registration
Capability for Pipeline Creation API with Parallel Steps Support
The existing API for creating pipelines has been enhanced to support the creation of pipelines with parallel steps.
Customers can define dependencies between steps directly in the step configuration by specifying the step names. Opsera will automatically translate these step names into the corresponding step IDs internally and save the configuration accordingly.
This streamlines pipeline creation by allowing more flexible and intuitive step dependency definitions, improving automation capabilities and reducing manual effort for customers.
Enhancements to GitHub Tool Registry
The GitHub Tool Registry process has been enhanced with flexible, secure authentication during GitHub tool registration.
When the “Use GitHub Apps” toggle is enabled, users can choose between GitHub App and OAuth authentication methods. The token field label will update to User Access Token to reflect this change.
When the toggle is disabled, these authentication options are hidden, and the token field label reverts to Personal Access Token.
This capability empowers administrators to maintain control over which authentication methods are available.
Additional Capabilities
Pipeline state management has been enhanced to ensure more consistent and reliable pipeline execution. When a pipeline is in a Failed or Stopped state, any changes to the number of steps or their dependencies will automatically trigger a pipeline reset. Following this reset, whether automatic or manual the Resume Pipeline option will be disabled when the pipeline is started.
Note: Certain modifications can be made without triggering a pipeline reset, allowing the Resume Pipeline option to remain available. These include updating step configurations and enabling or disabling individual steps.
Pipeline step cards have been improved to display more detailed information about each step directly within the pipeline view. Users can now quickly grasp the progress and outcomes of each step at a glance, significantly improving pipeline monitoring and troubleshooting efficiency.
SDLC
GitHub Packages Support in Opsera Pipelines
Opsera has introduced a new pipeline step type for GitHub Packages (Pull/Push), enabling seamless integration with GitHub Packages repositories within pipelines. This allows users to pull dependencies or push build artifacts directly as part of their automated workflows.
Key capabilities:
Native support for GitHub Packages as both source and destination.
Configurable options such as package type (Docker,Maven, NuGet), package name, version, and target registry from pre-configured Tool Registry entries.
This package type is autopopulated based on the build step and cannot be manually altered, ensuring consistent alignment between the package type and the build process at all times.
Automatic logging of package transfer status within pipeline execution logs for better visibility.
Unified Insights
Introducing Enhanced Filtering Investment Spectrum Dashboard
A powerful new filtering approach is available in Investment Spectrum dashboards. Each filter type including Basic, Hierarchy, Vendor, and Geolocation filters can be individually enabled, allowing users to manage complex filtering scenarios with ease, focusing on the data that matters most.
Key Values
Enable Toggle for Each Filter: Every filter block comes with an "Enable" toggle, giving users precise control over which filter dimension is active.
Single Active Filter at a Time: Users can activate only one filter type at any moment, eliminating confusion and ensuring clarity in data analysis.
Improved User Experience: The streamlined interface makes it easy to switch between different filter types, helping users quickly focus on the specific data dimension they need.
Introducing JUnit Insights KPI for Code Reliability Dashboard
A JUnit Insights KPI dashboard has been introduced to provide unified insights into test suite health. The KPI features a primary pass-rate KPI, drill-down tiles highlighting tests with extreme skipped/failed counts or durations and a detailed table showing test case results.
Key Benefits:
Improved Visibility: The KPI provides a consolidated view of test execution status, supporting faster identification of problematic areas.
Enhanced Troubleshooting: The drill-down capabilities allow users to quickly pinpoint tests with the highest failure rates, longest durations, or most skips, streamlining root cause analysis.
Scalability and Traceability: Grouping by pipelineId, stepId, and runcount ensures traceability across different test runs and pipeline executions, supporting large-scale and complex CI/CD environments.
Introducing APIs for Dashboard & Tool Mapping
A set of new Unified Insights Dashboard and Tool Mapping endpoints have been introduced enabling management of dashboards and external tool connections. These APIs allow enterprise customers to automate dashboard creation, configuration, and tool integrations.
What’s New
Dashboard Management APIs
Create new dashboards with specified categories, filters, roles, and KPIs.
Retrieve single or list views of dashboards.
Update full or partial dashboard configurations.
Soft Delete dashboards, preserving metadata for audit purposes.
Tool Mapping Management APIs
Create, update, and delete connections to external tools (e.g., GitHub, Jira) using a generic configuration model that adapts to each tool’s requirements.
Retrieve a list of available tools and their required configuration fields to guide customers when setting up new mappings.
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