Use AI and automation to build resiliency into Bitbucket pipelines

Use AI and automation to build resiliency into Bitbucket pipelines

Use AI and automation to build resiliency into Bitbucket pipelines

Automated SLA Validation

Reduce MMTR with Dynatrace information events

Provide immediate context to application changes

Automate build-to-build testing of service levels against an explicit definition to return pass/fail results for immediate developer feedback.

Dynatrace information events feed the Dynatrace AI engine, and if root cause issues are related, they are added to the problem card proactively reducing MTTR.

Deployment, configuration change and testing details from Jira and Bitbucket Pipelines show up in Dynatrace. Deep link URLs to the job, build and owner, save time.

More details

Dynatrace Bitbucket cloud pipes add resiliency into cloud pipelines, increase the quality of software performance in production, and lower operational risk.

Read more about the use cases in our community blog: https://community.atlassian.com/t5/Marketplace-Apps-Integrations/Using-AI-and-automation-to-build-resiliency-into-Bitbucket/ba-p/1343165

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Versions

Bitbucket Cloud Released 2020-07-29

Summary

Use AI and automation to build resiliency into Bitbucket pipelines

Installation

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