Almost all IT teams across the world engaged in software development need to deliver software changes and updates iteratively.
In doing so they adopt the CI/CD process to streamline their software delivery. But while promoting a release artifact from one stage to the next, they employ a manual risk evaluation process for making judgments which is both time-consuming and costly.
This not only dilutes the effectiveness of the CI/CD process but also contravenes the underlying philosophy of continuous delivery that mandates a fully automated delivery workflow a.k.a. CI/C pipeline to speed up software delivery.
Teams can mitigate this problem by using OpsMx Autopilot, an AI/ML-based Continuous Verification solution that automates the release verification and approval process across all CI/CD stages be it build, test, deploy or prod.
Autopilot integrates well within an existing or a new CI/CD tool ecosystem like Jenkins/CircleCI/Maven used for CI, JMeter /Selenium used for test automation, Datadog/Appdynamics/ Splunk used continuous monitoring, SonarQube/ Vault used for security, and ITSM tools like ServiceNow/Slack, etc.
Autopilot gathers logs and metrics data generated during pipeline execution and leverages its artificial intelligence and machine learning capabilities to automatically evaluate release risks, diagnose and triage errors, and alert concerned teams in real-time.
It assigns confidence scores to each artifact and promotes or fails them based on certain evaluation criteria. Autopilot’s risk analysis and CD dashboards provide real-time visibility and better insights across DevOps teams.
Autopilot ingrains support for governance and policy compliance across the CI/CD pipelines and make them quickly and easily auditable.
If you are interested in learning more about what Autopilot is and how you can use it to speed up your CI.CD pipeline, please read the blog here.
