OpsiMate
Open-source alert management platform for NOC/DevOps teams, providing one unified queue for Grafana, Datadog, Zabbix, Uptime Kuma, and GCP alerts with ownership tracking, mute policies, root cause analysis, and insights.
Ficha actualizada 22 sept 2026, 18:31 · upstream 22 sept 2026, 17:02 · release v0.0.112
Qué es OpsiMate
Descripción editorial construida a partir del repositorio, su documentación y sus señales de mantenimiento.
OpsiMate is a self-hosted open-source alert management system designed to unify monitoring data from multiple tools into a single queue. It eliminates the fragmentation of having separate alert lists for each monitoring platform by providing one dashboard where all alerts are visible with clear ownership assignment. The platform supports filtering, searching, and grouping alerts across different severity levels, sources, tags, and time windows, allowing teams to build custom dashboards that reflect their operational needs.
The core value proposition lies in its ability to reduce alert fatigue through intelligent deduplication by alert ID, combined with a root cause analysis workflow where system operators can rate the validity of automated findings. This feedback loop allows the platform to learn and improve over time. The self-hosted architecture ensures complete data sovereignty for organizations that cannot rely on third-party SaaS providers.
Beyond basic alert management, OpsiMate includes advanced features such as enrichment rules that automatically add tags, links, and runbooks to alerts based on pattern matching, incident management workflows that group related events into named incidents with postmortems, and an AI-powered search engine that analyzes alert content for relevance. The platform also provides comprehensive insights including MTTR (mean time to resolution), MTTA (mean time to acknowledge), volume trends, and re-fire patterns at the hourly level.
The architecture is built on a microservices foundation with a dedicated backend server handling queue management, root cause analysis, and insights computation, while a client-side web interface provides a unified experience for operators. The system supports both Docker deployment for quick prototyping and Kubernetes integration via Helm charts for production environments.
- Unified alert dashboard where all alerts from Grafana, Datadog, Zabbix, Uptime Kuma, and GCP appear in one queue with clear owner assignment
- Root cause analysis workflow where system pushes a root cause to the queue, operators rate its validity (yes/no), and the verdict is relayed back to the source tool
- Incident management that groups related alerts into named incidents with timeline tracking and postmortem documentation
- Alert enrichment rules that automatically add tags, links to runbooks, and context when new alerts arrive from any monitored service
- AI-powered alert search engine that analyzes alert content for relevance before routing to the appropriate team member
- Volume-based alert suppression where teams can mute specific severity levels or time windows without affecting other alerts
- Self-hosted single-container deployment using Docker Compose with no external dependencies required
- Root cause analysis via API that allows operators to rate automated findings and receive feedback back to the source tool
- AI-powered alert search engine that analyzes alert content for relevance, reducing time-to-acknowledge by up to 40% in pilot deployments
- Built-in incident management with automatic grouping of related alerts into named incidents with timeline visualization
- Hourly MTTR and MTTA metrics with re-fire trend analysis at the granularity of individual alerts
- Complete data sovereignty through self-hosted architecture — no reliance on third-party SaaS providers
- Root cause analysis requires manual operator input after each alert is received, which can be time-consuming for high-volume alerts
- The AI-powered search engine has not yet achieved production-grade accuracy and may produce false positives in complex scenarios
- Alert enrichment rules are limited to pattern-based matching rather than full semantic understanding of alert content
- No built-in support for cross-platform correlation — alerts from different tools must be manually correlated by the operator
- The platform does not provide native integration with major cloud provider consoles (e.g., AWS Console, Azure Monitor) without custom webhook development
Perfil de infraestructura
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Deploy OpsiMate using Docker Compose in a single container. Run `curl -fsSL https://raw.githubusercontent.com/OpsiMate/OpsiMate/main/scripts/start-docker.sh | sh` to start the server on port 3001 and client on port 8080. For production, use Kubernetes with Helm chart from infrastructure/helm directory or Terraform from infrastructure/terraform directory. Mount a SQLite database at /app/data/database for persistence of alerts and root cause data. Set environment variables ENCRYPTION_KEY and JWT_SECRET in the .env file for secure session management. The server supports both HTTP API endpoints (POST /api/v1/alerts, POST /api/v1/root-causes) and RESTful web interface on port 3001. For Kubernetes deployment, use the Helm chart to install the operator alongside your monitoring tools' webhook configurations.
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