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.
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.
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.
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.
With continuous verification and production telemetry, enterprises can be sure their site is not negatively impacted due to change and ensure customer delight.
How to use Autopilot’s ML technologies to reduce overall time taken for build process by dubbing build failures in minutes
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.
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