OpsBird
AI Kubernetes Incident Response
When a Kubernetes incident hits at 3 AM, engineers spend hours jumping between Grafana, kubectl, and log aggregators trying to piece together what happened. OpsBird eliminates that scramble. A small Go agent runs inside your cluster, receives Prometheus Alertmanager webhooks, and enriches every alert with read-only context from Kubernetes and Prometheus before an AI control plane turns it into a single, actionable explanation. From CrashLoopBackOff to OOMKilled to latency spikes, related alerts are correlated, deduplicated, and routed to your team's chat with the context they need to act.
Highlights
How it Works
Run the Agent
Deploy the OpsBird agent container in your cluster and point Prometheus Alertmanager at its webhook endpoint.
Enrich the Alert
The agent pulls read-only pod, deployment, node, and Prometheus context around whatever fired, and adds deep links to your dashboards.
Correlate and Investigate
Related alerts are grouped by owner resource, deduplicated, and escalated, and the AI control plane works the incident from there.
Deliver Root Cause
Get a clear explanation of what broke, why, and what to do about it - routed to your Telegram topics or read in the OpsBird dashboard.
Features
AI Triage & Correlation
Groups related alerts by their owning resource, deduplicates repeats, and applies a resolved-grace window so a flapping alert does not become five pages. Turns alert noise into clarity.
Instant Root Cause Analysis
Links crash loops to recent image tag updates, configmap changes, or resource limits, and delivers the explanation with the pod, deployment, and node context already attached.
Kubernetes-Native Enrichment
Every alert arrives with read-only pod, deployment, node, and service context pulled live from the cluster, plus Prometheus-derived detail and deep links into Grafana, Loki, and Tempo.
Telegram Delivery
Severity-based formatting and category routing push each incident into the right Telegram topic, so engineers get actionable context without opening a dashboard.
Read-Only by Construction
The in-cluster agent can only get, list, and watch. It never creates, patches, deletes, scales, or execs into anything - and a build-time check enforces that, so the guarantee cannot rot.
Auditable In-Cluster Agent
The agent that runs in your cluster is a single small static binary whose source is published, so you can confirm in minutes exactly what it reads and where it sends it.
Use Cases
CrashLoopBackOff Diagnosis
Instantly correlate pod crashes with recent deployments, config changes, or resource exhaustion - no more guessing which commit broke it.
OOMKilled Resolution
Trace memory limit violations back to specific workloads and get recommended resource adjustments based on historical usage patterns.
Latency Spike Investigation
Land a latency alert with the owning workload, its Prometheus context, and one-click links into Grafana, Loki, and Tempo already attached.
On-Call Acceleration
On-call engineers open a page that already carries the owning workload, its recent changes and its dashboards, instead of correlating them by hand at 3 AM.
Who it's For
SREs, DevOps engineers, platform teams, and on-call engineers running production Kubernetes clusters who need to reduce mean time to resolution.
Ready to try OpsBird? See it in action.
Visit OpsBirdFAQ
OpsBird is an AI-powered incident response platform for Kubernetes. A small Go agent in your cluster receives Prometheus Alertmanager webhooks, enriches them with read-only Kubernetes and Prometheus context, and an AI control plane turns that into a single actionable explanation.
No. The in-cluster agent can only get, list, and watch. It never creates, updates, patches, deletes, scales, evicts, or execs into anything, and a build-time check enforces that read-only boundary on every release.
It handles scenarios like CrashLoopBackOff, OOMKilled, and latency spikes, linking crashes to recent image tag updates, configmap changes, or resource limits.
You run the OpsBird agent container in your cluster and point Prometheus Alertmanager at its webhook endpoint. From there it enriches whatever fires with live cluster and Prometheus context.
Incidents are routed to Telegram with severity-based formatting and per-category topics, and are also available in the OpsBird dashboard.
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