Diagnose Kubernetes issues automatically and alert your team in Slack

Pulls logs and metrics from your Kubernetes cluster, has AI figure out what went wrong, and posts the diagnosis to Slack.

How the work actually flows

A straight line.

Pattern: Sequence (1)

flowchart TD trig(["scheduled cluster health check"]):::trigtime s0["fetch related performance metrics"]:::task s1["diagnose root cause with AI"]:::svc s2["post alert to Slack"]:::task trig --> s0 s0 --> s1 s1 --> s2 out[/"root cause alert posted"/]:::out pay{{"faster incident diagnosis"}}:::pay s2 --> out out --> pay classDef task fill:#e7f6fe,stroke:#34b8f0,color:#2c2a29 classDef svc fill:#f6f8fa,stroke:#7c8795,color:#2c2a29 classDef mi fill:#e7f6fe,stroke:#0079a8,color:#2c2a29,stroke-width:2px classDef human fill:#fff,stroke:#0079a8,color:#0079a8 classDef store fill:#f6f8fa,stroke:#0079a8,color:#2c2a29 classDef trig fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigtime fill:#00a4eb,stroke:#0079a8,color:#fff,font-weight:bold classDef trigdata fill:#8ad4f5,stroke:#0079a8,color:#06314c,font-weight:bold classDef gate fill:#fff,stroke:#e8a23d,color:#6b4708,font-weight:bold classDef out fill:#1f9d6b,stroke:#167a53,color:#fff,font-weight:bold classDef pay fill:#06314c,stroke:#021f33,color:#fff
Starts itA stepAn outside serviceResultPayoff
Build size
Standard

A mid-size build with several tools working together.

Business functions
Messaging & NotificationsDevOps & IT Operations
Connects
KubernetesSlackGoogle GeminiPrometheusLoki

The problem it solves

When something breaks in your infrastructure, someone has to manually dig through logs and metrics from different tools to figure out what happened, which eats up time during an outage. This does that first pass automatically so your team starts troubleshooting with an answer instead of a pile of raw data.

Who it fits

A DevOps or IT operations team responsible for keeping a Kubernetes environment running.

How it works

  1. On a schedule, the system checks cluster health and pulls recent error logs
  2. It fetches related performance metrics for the affected services
  3. AI reviews the logs and metrics together and writes a plain-English root cause analysis
  4. The analysis is enriched with links to relevant documentation
  5. A clear, deduplicated alert is posted to Slack
What you get

Outages your team catches before customers do

Your team gets a clear root cause writeup in Slack the moment something goes wrong in your cluster.

What you get

A Slack alert with a likely root cause and supporting documentation links for each incident.

What you need

A Kubernetes environment with Loki and Prometheus set up, plus a Slack workspace and a Google Gemini API key.

We can build this. But should you?

The hard question is not how to build it. It is whether this is the right thing to build first.

That is what a Fractional Chief AI Officer figures out with you, before anyone writes a line of code.

Let's Talk Strategy

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