When a cloud or Kubernetes incident hits at 3am, the slow part is rarely the fix — it is finding the root cause. Kestrel AI, a Y Combinator F25 startup, is an AI automation layer for platform engineering teams built to collapse that gap.
## What Kestrel does
Kestrel monitors cloud and Kubernetes infrastructure 24/7 across compute, networking, databases, serverless, and security, detects issues in real time, performs automated root-cause analysis, and generates ready-to-apply fixes — turning incidents that took hours into ones resolved in seconds. Beyond incident response, it covers the broader platform workload: cloud provisioning, CI/CD, security, and routine developer requests.
## How teams use it
Kestrel turns natural-language prompts into deterministic, production-ready workflows, with 25+ integrations, 140+ pre-built actions, and support for custom HTTP and webhook calls. It is developer-first, offering a CLI, a Python SDK, and an MCP server so platform teams drive it from where they already work. An open-source operator runs inside your cluster and streams resource metadata, events, logs, and network flows back to Kestrel over a secure connection — keeping the agent grounded in live infrastructure state rather than stale snapshots.
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