Continuous Verification
Increase customer satisfaction by minimizing errors during build, deploy, test, and release process. Validate health of a new software release through AI/ML technology that uses data from metrics and logs.
Increase customer satisfaction by minimizing errors during build, deploy, test, and release process. Validate health of a new software release through AI/ML technology that uses data from metrics and logs.
Verify new software releases for suitability in production, including reliability and business impact, in an automated fashion.
Use machine learning based intelligence to control app rollout via canary, blue/green or rolling update.
Track and remediate every build and configuration change moving through your CD pipeline and user interaction through the CD lifecycle.
Verify the application performance of new deployments by leveraging machine learning to analyze metrics and APM data and analyze functionality from popular logging tools (Splunk, Sumo Logic).
Use the power of unsupervised machine learning to analyze time-series data and event data from external tools. Learn anomalies in transaction data, and track genuine errors and exceptions in your application logs in minutes, without any dependency on data-science experts.
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