OpsMx
AI-driven continuous verification that scores release risk before production.
About
OpsMx provides intelligent continuous delivery for Kubernetes and cloud platforms, centered on Autopilot, an AI-driven continuous verification platform. Autopilot applies machine learning and natural language processing to logs, metrics, and APM data to calculate risk scores for every release, automating canary analysis, promotion decisions, and rollbacks across Spinnaker, Argo, and Jenkins pipelines.
Its Delivery Intelligence module learns from historical deployment data to identify the metrics that matter for each release, classifying log errors automatically and saving triage time. The platform adds deployment orchestration, GitOps at scale, policy compliance, and audit reporting for enterprise delivery teams.
What it can do
- ML-based release risk scoring from logs and metrics
- NLP classification of deployment log errors
- Automated canary and blue-green verification
- Policy compliance and audit reporting
Setup
Deploy OpsMx Enterprise or connect Autopilot as a REST service to existing CI/CD pipelines.
Prerequisites
CI/CD pipelines in Spinnaker, Argo, or Jenkins with log and metrics sources.
Use cases
Works with
Trust score — 7/10
Scored 7/10 (metrics tier, metrics-v1). Evidence: Verified via vendor site/docs/GitHub and reputable coverage, wave 121; Trending score 72/100 from researcher assessment.