Autopilot is an AI/ML-powered Continuous Verification platform that verifies software updates across deployment stages, ensuring their safety and reliability in production. It automates new release verification, reducing time-consuming and error-prone manual verification processes. AutoPilot uses AI and ML technologies to assess the risk of a new release, find the root-cause of issues and abnormalities for instantaneous diagnosis, and provide real-time visibility and insight about the performance and quality of new deployments to avoid business disruption.
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.
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.
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.
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.
Be the first to hear about the latest product releases, collabrations and online exclusive.