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OpsOrch – a unified API for incidents, logs, metrics, and runbooks

OpsOrch – a unified API for incidents, logs, metrics, and runbooks

by yusufaytas·Mar 15, 2026·3 points·0 comments

AI Analysis

●●SolidSolve My ProblemSlick

Unified ops schema is useful but Backstage already does this with more adoption.

Strengths
  • Adapter model means you keep existing tools instead of migrating to one platform
  • Copilot answers are inspectable and traceable rather than black-box automation
Weaknesses
  • Abstraction layer risks becoming too generic to handle vendor-specific features
  • Internal tooling requires significant team buy-in to actually integrate anywhere
Target Audience

Platform engineers and SRE teams

Similar To

Backstage · PagerDuty · Opsgenie

Post Description

Hi HN,

I built OpsOrch because operational work is spread across too many tools.

Incidents might be in PagerDuty, logs in Datadog, metrics in Prometheus, and runbooks somewhere else. Each system has its own API and data model, so cross-tool workflows usually turn into glue code.

OpsOrch is my attempt to standardize that.

It defines a common schema for things like incidents, logs, metrics, alerts, services, and runbooks, then uses adapters to connect different providers behind one interface.

The goal is simple: instead of writing vendor-specific logic, a client can ask for:

- incidents affecting a service

- related logs and metrics

- associated runbook context

I am especially interested in feedback on whether this abstraction is actually useful, or whether it becomes too generic in practice.

Happy to answer questions about the schema, adapter model, and tradeoffs.

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