OpsOrch – Unified API for Incidents, Logs, Metrics, and Tickets
I built OpsOrch, an open-source orchestration layer that gives you one unified API for incidents, logs, metrics, tickets, messaging, and service metadata. It sits on top of the tools you already use (PagerDuty, Jira, Elasticsearch, Prometheus, Slack, etc.) and normalizes everything into a single schema. OpsOrch doesn’t store your operational data. It just brokers requests through pluggable adapters (Go or JSON-RPC) and returns unified structures. On top of this, there’s an optional MCP server that exposes all capabilities as typed tools for LLM agents. Why? Most incident workflows today…
OpsOrch – Unified API for Incidents, Logs, Metrics, and Tickets launched on December 8, 2025 with 6 votes, #1,714 of 11,628 launches that month and more than 75% of that year's launches.
What it does
OpsOrch stitches together telemetry, incident response, and automation so teams can see, decide, and act with confidence.
Coordinate releases, incidents, and operational workflows across your existing tools - with context, approvals, and traceability. Releases, incidents, investigations, and routine checks all require decisions across multiple systems. OpsOrch coordinates these workflows without replacing the tools you already use. OpsOrch is built in the open. Core APIs, adapters, Console, MCP, and Copilot are open source. Browse the repos ↗ An alert fires in Datadog. Investigation moves to Grafana. Decisions happen in Slack. The rollback runs through Argo. Follow-up lands in Jira. Every tool works. The process between them doesfrom opsorch.com
In the maker’s words, at launch
I built OpsOrch, an open-source orchestration layer that gives you one unified API for incidents, logs, metrics, tickets, messaging, and service metadata. It sits on top of the tools you already use (PagerDuty, Jira, Elasticsearch, Prometheus, Slack, etc.) and normalizes everything into a single schema. OpsOrch…
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