Continuous Verification for Jenkins

Save hours of manual verification while deploying an application using Jenkins.

Do not spend hours manually diagnosing and troubleshooting issues spurting from your Jenkins extended pipeline. Identifying the risk of release is no more an arduous task.

Plug in OpsMx to get continuous feedback and auto-detection of underlying issues across the stages of your delivery pipeline.

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Build Risk Assessment and Diagnosis

Never let an unforeseen or unsuspecting bug crawl under your surveillance when you have just finished executing a world-class product release.

Why limit assessments to the release cycle? Get local and assess risk during a developer code commit.

Test Risk Assessment and Diagnosis

Analyzing Test reports are now fully automated. Cut down on triage by redirecting your engineers to the root cause of an issue.

OpsMx Intelligence can pinpoint the location of the root cause for engineers to fix the bug in no time.

Automated Decisioning for Deployment Automation

Transform Jenkins X into a fully autonomous deployment pipeline by verifying new application deployments based on errors, exceptions, and performance. Get instant rollbacks or deploy approvals based on machine learning algorithms.

Granular Visibility with Production Telemetry

Insightful data to gauge stability and performance of latest releases in a single dashboard. Visualize and analyze parameters like business logic and infrastructure metrics on real-time data.

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 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 Triage

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

Developer Friendly

Remove toil to improve developer productivity with ease of use and familiar languages and tools- YAML/Git.

Elevated customer experience

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.