Continuous Verification for Spinnaker

DevOps team spends hours alone in diagnosing, troubleshooting issues, or identifying risks in build, deployment, test, and production stages of CI/CD. The process is error-prone and overwhelming to go through machine data manually, delays the time to move software from code check-in to release through Spinnaker.

OES Autopilot, an ML-based product, automatically provides continuous feedback to your DevOps team by finding bugs with the underlying cause of failures and assessing risks in all the stages of the deployment pipeline.

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Build Risk Assessment and Diagnosis

Use build logs to identify risk associated with each release in the build stage of the Spinnaker deployment pipeline. Quickly diagnose your build issues using AI/ML and identify underlying root-cause in minutes.

Test Risk Assessment and Diagnosis

Leverage unsupervised ML in Autopilot to traverse through a torrent of logs produced by automated testing tools to identify the reason behind failed test cases and failed test scenarios in seconds.

Automated Decisioning in Deployment Stage

Integrate Autopilot with your Spinnaker CD pipeline to automatically verify new applications based on errors, exceptions, and performance after deployment. You can promote a release to the next stage or restore your service with the auto rollback in seconds based on intelligence-based guidance.

Deep visibility with Production Telemetry Dashboard

Understand your customer experience with a real-time production telemetry dashboard in Autopilot. Visualize and analyze how your system is behaving in real-time with data at the business logic, application, and environmental layers.

Automated verification / canary analysis using OpsMx along with monitoring and log analysis tool of your choice

Integrations

Get out-of-the-box integrations for log analyzers and APM tools that you have already invested in. It takes a few mins to integrate with monitoring tools, fetch data, analyze data, and prescribe results about build, deploy, test, and prod verification.

Key Benefits

Faster time to identify errors

Reduce time to identify errors in build, deploy, test, and production phases from hours to seconds with the built-in diagnostic feature in OES Autopilot.

Zero Downtime

Reduce the chance of downtime with a consolidated risk score of new deployments, which gives decision-making intelligence and a high degree of confidence to roll forward or rollback releases at scale.

Customer Delight

With continuous verification and production telemetry, enterprises can be sure their site is not negatively impacted due to change and ensure customer delight.

Resources

Debugging Build Failures with Autopilot

How to use Autopilot’s ML technologies to reduce overall time taken for build process by dubbing build failures in minutes

Validate Software Releases Through Application Behavior Analysis

Learn more ways to leverage automatic in-depth application behavioral based analysis to validate releases quicker, find defects early and spend less time diagnosing the issues.