
Cova is an autonomous monitoring agent designed to identify gaps in monitoring coverage and automate the deployment of production-ready monitors. It addresses the challenge of overlooked blind spots in monitoring setups by scanning connected DevOps tools and providing a coverage score along with gap analysis. The platform can operate on a user-defined schedule or function fully autonomously, adapting to different workflow preferences.
Among its key features, Cova offers a Monitor Scan that evaluates the monitoring landscape across integrated tools, highlighting areas that require attention. Its Deploy Monitor capability enables users to generate and deploy configuration fixes with a single click. The Incident Autopilot feature leverages AI for root cause analysis and mapping the blast radius of incidents, streamlining incident response. PR Guard provides automatic monitoring checks on every pull request, while Repo Scan delivers architecture-aware monitoring recommendations directly from the codebase. Additionally, Ask Cova allows users to interact with an AI chat interface that has full context of the current monitoring setup.
Cova integrates with a range of widely used DevOps and monitoring platforms, including PagerDuty, Datadog, Grafana, Sentry, New Relic, Sumo Logic, Splunk, GitHub, and GitLab. This broad compatibility enables seamless adoption within existing toolchains. Cova is positioned within the class of monitoring and observability tools, particularly those enhanced by AI-driven automation and analysis.
In the LLM eval & observability space, Cova takes a focused approach. It focuses on automating the detection and remediation of monitoring blind spots in production systems using AI agents. It is built as a B2B product for devOps teams and site reliability engineers. The product ships for the web.
It is developed by Cova, and the product first shipped in 2025. Key capabilities include monitoring gap analysis, monitor deployment, and incident autopilot.
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