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.
AI-Driven Risk Assessment for all CI/CD Stages
Release good software, every time!
Benefit: Automated pre-check of software releases
Verify new software releases for suitability in production, including reliability and business impact, in an automated fashion.
Automated Decisioning
Make Decisions with Confidence.
Benefit: Intelligence based guidance for app rollout 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!
Benefit: Real-time recovery from applications errors
Track and remediate every build and configuration change moving through your CD pipeline and user interaction through the CD lifecycle.
Diagnostics and Attribution
App-health – Check.
Benefit: Automated verification of your application performance and functionality
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).
Unsupervised Machine Learning
Machine to understand Machine
Benefit: Reduce reliance on data scientists to read deployment logs and find pattern
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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