# Steadwing

> Autonomous incident response platform that reduces MTTR with AI-powered root cause analysis and automated remediation for on-call engineering teams.

## Docs

- [Changelog & Release Notes](https://docs.steadwing.com/changelog.md): Latest updates, new integrations, and platform improvements
- [Your Autonomous On-Call Engineer](https://docs.steadwing.com/index.md): Steadwing diagnoses issues instantly, correlates evidence across your stack, and resolves them - so your team can ship, not firefight.
- [Integrations](https://docs.steadwing.com/integrations.md): Connect Steadwing to 20+ tools including Slack, GitHub, Datadog, Sentry, PagerDuty, AWS, and Kubernetes. Steadwing automatically pulls and correlates logs, metrics, traces, and code changes during root cause analysis.
- [AWS CloudWatch](https://docs.steadwing.com/integrations/aws.md): Steadwing connects to AWS CloudWatch to query logs, metrics, and alarms automatically during incident analysis, helping you identify root causes faster.
- [Better Stack](https://docs.steadwing.com/integrations/betterstack.md): Steadwing pulls uptime monitor states, incident timelines, heartbeat status, and on-call schedules from Better Stack to correlate signals during root cause analysis.
- [Cloudflare](https://docs.steadwing.com/integrations/cloudflare.md): Steadwing pulls DNS records, firewall rules, WAF configurations, and traffic analytics from Cloudflare to identify network-related root causes during incidents.
- [Datadog](https://docs.steadwing.com/integrations/datadog.md): Steadwing queries Datadog for infrastructure metrics, monitor states, and application performance data to identify anomalies and bottlenecks during incident analysis.
- [E2B](https://docs.steadwing.com/integrations/e2b.md): Steadwing connects to E2B to pull sandbox logs, lifecycle events, and resource metrics, helping you diagnose failures in AI applications that use sandboxed code execution.
- [Elasticsearch](https://docs.steadwing.com/integrations/elasticsearch.md): Steadwing connects to your Elasticsearch cluster to query logs, metrics, and traces using natural language and ES|QL, so you get root cause analysis without manual log searching.
- [GCP](https://docs.steadwing.com/integrations/gcp.md): Steadwing connects to Google Cloud Platform to query Cloud Logging, Cloud Trace, and Error Reporting, giving you AI-powered root cause analysis across your GCP infrastructure.
- [GitHub](https://docs.steadwing.com/integrations/github.md): Connect GitHub to Steadwing so every deployment, commit, and release is automatically correlated with production incidents during root cause analysis.
- [GitLab](https://docs.steadwing.com/integrations/gitlab.md): Connect GitLab to Steadwing so deployments, merge requests, commits, and CI/CD pipeline events are automatically correlated with production incidents during root cause analysis.
- [Grafana](https://docs.steadwing.com/integrations/grafana.md): Steadwing queries Prometheus metrics and Loki logs through Grafana to identify error patterns, latency spikes, and resource bottlenecks during incident analysis.
- [Kubernetes](https://docs.steadwing.com/integrations/kubernetes.md): Steadwing connects to your Kubernetes clusters to monitor pod health, resource utilization, deployment states, and cluster events for AI-powered incident analysis.
- [Linear](https://docs.steadwing.com/integrations/linear.md): Connect Linear to Steadwing so you can trigger AI-powered root cause analysis by assigning issues to the Steadwing bot or @mentioning Steadwing in any issue comment.
- [Mezmo](https://docs.steadwing.com/integrations/mezmo.md): Steadwing connects to your Mezmo account to search and analyze centralized logs during incidents, automatically identifying errors, anomalies, and patterns for root cause analysis.
- [New Relic](https://docs.steadwing.com/integrations/newrelic.md): Steadwing pulls APM data, transaction traces, and infrastructure metrics from New Relic to correlate performance issues with production incidents during root cause analysis.
- [PagerDuty](https://docs.steadwing.com/integrations/pagerduty.md): Connect PagerDuty to Steadwing so incident timelines, alerts, escalation patterns, and response metrics are automatically pulled into every root cause analysis.
- [Scalyr (DataSet)](https://docs.steadwing.com/integrations/scalyr.md): Steadwing connects to your Scalyr (DataSet by SentinelOne) instance to query logs, metrics, and analytical data during incidents, automatically identifying errors, affected services, and error rate trends.
- [Sentry](https://docs.steadwing.com/integrations/sentry.md): Steadwing pulls error events, stack traces, and performance data from Sentry to correlate them with production incidents during root cause analysis.
- [SigNoz](https://docs.steadwing.com/integrations/signoz.md): Steadwing queries SigNoz for metrics, logs, distributed traces, and alerts to correlate OpenTelemetry observability data with production incidents during root cause analysis.
- [Slack](https://docs.steadwing.com/integrations/slack.md): Connect Slack to Steadwing so your team receives instant incident alerts and can trigger AI-powered root cause analysis by @mentioning the Steadwing bot in any channel.
- [Supabase](https://docs.steadwing.com/integrations/supabase.md): Steadwing connects to your Supabase projects to monitor database health, connection pools, authentication errors, and service status for AI-powered incident analysis.
- [Vercel](https://docs.steadwing.com/integrations/vercel.md): Steadwing connects to Vercel to monitor deployments, build logs, and serverless functions, helping you identify deployment-related root causes automatically.
- [CrewAI](https://docs.steadwing.com/plugins/crewai.md): OpenAlerts monitors your CrewAI agents in real-time, detecting LLM errors, stuck agents, token blowups, and tool failures instantly with a live dashboard and Slack/Discord/webhook alerts.
- [nanobot](https://docs.steadwing.com/plugins/nanobot.md): OpenAlerts monitors your nanobot agents in real-time, detecting LLM errors, stuck agents, token blowups, subagent failures, and tool errors instantly with a live dashboard and Slack/Discord/webhook alerts.
- [OpenClaw](https://docs.steadwing.com/plugins/openclaw.md): OpenAlerts monitors your OpenClaw AI messaging gateway in real-time, detecting LLM errors, gateway outages, stuck sessions, and cost spikes with a live dashboard and Telegram/webhook alerts.
- [OpenManus](https://docs.steadwing.com/plugins/openmanus.md): OpenAlerts monitors your OpenManus agents in real-time, detecting LLM errors, stuck agents, token blowups, and tool failures instantly with a live dashboard and Slack/Discord/webhook alerts.
- [Quick Setup Guide](https://docs.steadwing.com/quick-setup.md): Create a Steadwing account, connect GitHub and Slack via OAuth, and trigger your first AI-powered root cause analysis — all in under 5 minutes with no agents to deploy.
- [MCP Server for IDEs](https://docs.steadwing.com/steadwing-mcp.md): Install the Steadwing MCP server to run root cause analysis and investigate code issues directly from Claude Code, Cursor, or any MCP-compatible IDE — without switching to a browser.

## OpenAPI Specs

- [openapi](https://docs.steadwing.com/api-reference/openapi.json)

## Optional

- [Dashboard](https://app.steadwing.com)