# Remediate Kubernetes CrashLoopBackOff incidents with OpenAI: n8n workflow

> Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI.

Source: https://millionrounds.com/workflow/remediate-kubernetes-crashloopbackoff-incidents-with-openai (Millionrounds; every figure on the page links to its filing or article)

[Automation library](https://millionrounds.com/workflows) · [AI assistants](https://millionrounds.com/workflows?category=AI+assistants#library)

# Remediate Kubernetes CrashLoopBackOff incidents with OpenAI

Started by another system calling it. It calls services over plain HTTP rather than through connectors. It hands the judgement calls to OpenAI. 32 steps, 2 branches, 1 loop or waits: large, and worth reading before you trust it with anything live.

Large Calls a model: OpenAI

[Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fremediate-kubernetes-crashloopbackoff-incidents-with-openai)

**32 steps** Large: read it before trusting it with anything live

**2** Branches: places the flow splits

**1** Loop or waits

**0** Services by connector: it calls them over plain HTTP

## The flow

Starts it 4 Model 4 Logic 15 Service 9

The steps in the order they run, from what starts it.

- 1 **When K8s CrashLoop Alert Received** Webhook *Starts it*
- 2 **Every 2 Minutes Check Pod Status** Schedule trigger *Starts it*
- 3 **OpenAI GPT-4.1-Mini** Lm Chat Open Ai *Model*
- 4 **OpenAI GPT-4.1-Mini Summary** Lm Chat Open Ai *Model*
- 5 **Fetch Kubernetes Pods Status** Http Request *Service*
- 6 **Log Analysis Agent** Agent *Model*
- 7 **Incident Summary Agent** Agent *Model*
- 8 **Scan CrashLoopBackOff Pods** Code *Logic*
- 9 **Parse AI Crash Diagnosis** Code *Logic*
- 10 **Prepare Notification Payloads** Code *Logic*
- 11 **If CrashLoop Pods Detected** If *Logic*
- 12 **Route by AI Recommended Action** Switch *Logic*
- 13 **Post Incidents to Slack** Http Request *Service*
- 14 **Email Incident Reports** Http Request *Service*
- 15 **Log Incidents in Sheets** Http Request *Service*
- 16 **Fetch Logs for Detected Pods** Http Request *Service*
- 17 **Respond No CrashLoop Found** Respond To Webhook *Starts it*
- 18 **Delete Pod to Restart** Http Request *Service*
- 19 **Determine Scaling Target** Code *Logic*
- 20 **Fetch Deployment Revision History** Http Request *Service*
- 21 **Prepare Escalation Result Data** Code *Logic*
- 22 **Respond Remediation Completed** Respond To Webhook *Starts it*
- 23 **Prepare Log Data for AI** Code *Logic*
- 24 **Prepare Restart Result Data** Code *Logic*
- 25 **Patch Deployment to Scale** Http Request *Service*
- 26 **Find Rollback Deployment Target** Code *Logic*
- 27 **Wait for Data Completion** Wait *Logic*
- 28 **Merge Remediation Results** Merge *Logic*
- 29 **Prepare Scale Result Data** Code *Logic*
- 30 **Patch Deployment for Rollback** Http Request *Service*
- 31 **Compile Incident Report Data** Code *Logic*
- 32 **Prepare Rollback Result Data** Code *Logic*

## How it's built

- **Starts on:** Another system calling it
- **Steps:** 32, with 2 branches, 1 loop or waits
- **Size:** Large: read it before trusting it with anything live
- **Connects to:** Nothing by connector; it calls services over plain HTTP
- **Model:** OpenAI

## Questions

What does it need to run?

An n8n account, and a key for OpenAI. You connect your own accounts after importing it; none are included.

What starts it?

It starts on another system calling it.

Does it use AI?

Yes. It calls OpenAI. Model calls are billed by the provider, not by n8n.

How long does it take to set up?

Take your time. At 32 steps it is large: read it before trusting it with anything live.

How do I import it?

Copy the workflow, open a new workflow in n8n and paste. The steps appear on the canvas, ready for your own accounts.

**Before you run it**

Nothing here has been tested by us. It is somebody's working automation, read and described from its own steps. Treat the connections it wants as a list of accounts it will touch, and read the 32 steps before you point it at anything that matters.

## Run it in n8n

- **Create your n8n account** Free to start. n8n is where the workflow runs. [Create an n8n account ↗](https://millionrounds.com/n8n)
- **Download the workflow** Free with a Millionrounds account. [Download free](https://millionrounds.com/login?next=%2Fapp%2Fworkflow%2Fremediate-kubernetes-crashloopbackoff-incidents-with-openai)
- **Paste it into n8n** Open a new workflow in n8n and paste. Then connect your own accounts.

Stored with the author's traces removed: canvas notes, instance identifiers, saved credential names and any live document they had left behind.

## Workflows like it

Also ai assistants, with the same services where possible, closest in size first.

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- [**Generate AI governance policy PDFs with OpenAI and SerpAPI** 33 steps · calls a model · Outlook](https://millionrounds.com/workflow/generate-ai-governance-policy-pdfs-with-openai-and-serpapi)