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AI-Driven Delivery Verifications Module

Increase customer satisfaction by minimizing errors during the build, deploy, test, and release process. Validate the health of a new software release using this Intelligent Automation Module powered by AI and Machine Learning (ML) that uses toolchain and process data metrics and logs.

AI-Driven Risk Assessment for all CI/CD Stages

Ship Better Software Faster

Verify new software releases for suitability in production – including reliability and business impact – leveraging intelligent automation.

Automated Decisioning

Make Decisions with Confidence

Use machine learning based intelligence to control app rollout via canary, blue/green or rolling update.

multi service dependency risk

Multi-Service Dependency Risk

Recover Quickly by Uncovering Dependencies

Track and remediate every build and configuration change moving through your CD pipeline. Monitor user interactions through the CD lifecycle.

Diagnostics and Attribution

Monitor the Health of Your Apps

Verify the application performance of new deployments by leveraging machine learning to analyze metrics and APM data and analyze functionality from popular logging tools (e.g., Splunk and Sumo Logic).

Unsupervised Machine Learning

Let Machine Learning Uncover Opportunities for Improvement
Use the power of unsupervised machine learning to analyze time-series data and event data from external tools. Uncover 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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