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OpsMx Autopilot

Intelligence for any CI/CD

OpsMx Autopilot is the intelligence layer for software delivery. Autopilot analyzes the risk of all changes, automatically determining the confidence that an update can be promoted to the next pipeline stage without introducing errors. Autopilot also automates policy compliance, ensuring that all your governance rules and best practices are followed.Autopilot reduces errors in production, increases release velocity, and improves security, quality, and compliance.

Risk Assessment

Risk Assessment

AutoPilot enables you to understand the risk of new releases at each stage of the deployment pipeline (build, test, deploy, prod.) Through continuous analysis of thousands of performance metrics and torrents of machine log data, it reduces deployment failures by 3X by automating risk assessment during blue green deployments or canary releasing.

Automated Decisioning

Integrated with your CD deployment pipeline, AutoPilot can make autonomous intelligence-based decisions to roll forward or roll back to the previous release, ensuring only reliable and sustainable updates are released into production.

Diagnosis and Triage

AutoPilot leverages ML and NLP technologies to automatically investigate and find the root causes of abnormalities in releases at all deployment stages. By triaging errors, exceptions and warnings based on their business criticality, it reduces the dependency on experts, saving 3-4 hrs per analysis.

Visibility and Insights

AutoPilot can improve collaboration and enhance productivity of teams up to 70% by providing real-time visibility and insights about deployments and a consolidated view of statuses such as latency, resource usage, or test case failures during each deployment stage. An intuitive UI with a graphical representation of success and failure of previous releases increases visibility and collaboration among dev, ops and infrastructure teams.

How It Works

How It Works

Autopilot gathers data from various CI/CD, monitoring, and log analysis tools and uses supervised and unsupervised machine learning to process metrics and log data to analyze a release, and uses close-the-loop learning technique to constantly incorporate human feedback to improve the quality of analysis and reports.

Make your CI/CD intelligent with OpsMx’s Autopilot

Build

Test

Deploy

Production

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