Directory Observability & MonitoringOverOps

OverOps

Funded

AI-driven service reliability and observability for modern DevOps teams

About OverOps

OverOps provides an AI-powered service reliability management platform designed to enhance software delivery and operational performance across the software development lifecycle. Targeted at enterprise organizations, the platform integrates deeply with DevOps toolchains to automate SLO tracking, change impact analysis, and governance, enabling teams to deploy code faster with higher reliability. OverOps aggregates observability data from multiple sources to provide actionable insights that align reliability metrics with business goals, helping CIOs ensure service uptime and customer satisfaction.

The platform supports collaboration across development, deployment, and reliability teams by centralizing SLO definitions, error budget tracking, and automated guardrails within CI/CD pipelines. This approach reduces deployment risk and accelerates innovation velocity while maintaining compliance and security standards. OverOps is particularly valuable for enterprises seeking to optimize cloud spend, improve resilience testing, and implement AI-driven automation in their DevOps and SRE practices.

Key Capabilities

✓Automated SLO tracking and error budget management
✓Change impact analysis across deployments and infrastructure
✓AI-driven reliability guardrails in CI/CD pipelines
✓Multi-source observability data integration
✓Collaboration tools for development and reliability teams

Integrations

CI/CD toolsObservability platformsFeature flag and chaos engineering tools

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This profile was compiled by CIOPages from public sources with AI assistance, and may be incomplete or out of date. It is informational only and not an endorsement. Represent this vendor? or .