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
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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