Deploying a K8s ChatGPT Bot with Robusta: A Step‑by‑Step Guide

This guide demonstrates how to set up a ChatGPT bot on a Kubernetes (K8s) cluster using the open‑source Robusta platform.

Prerequisites : Slack workspace, a K8s cluster, and Python 3.7+.

Install Robusta and create a virtual environment:

python3.10 -m venv robusta
source robusta/bin/activate
pip install -U robusta-cli --no-cache

Generate a Robusta configuration file and enable Slack integration:

robusta gen-config

During the interactive prompts, answer Y to configure Slack and follow the provided URL to authorize the integration.

Install Robusta via Helm :

helm repo add robusta https://robusta-charts.storage.googleapis.com && helm repo update
helm install robusta robusta/robusta -f ./generated_values.yaml --set clusterName=dev-cluster

Verify that the Robusta pods are running and check the logs for successful startup.

Create a crash‑loop pod to generate a Prometheus alert:

kubectl apply -f https://gist.githubusercontent.com/robusta-lab/283609047306dc1f05cf59806ade30b6/raw

Robusta will send a notification to the configured Slack channel, including an “Ask ChatGPT” button.

Interact with the ChatGPT bot by triggering a Prometheus alert manually:

robusta playbooks trigger prometheus_alert alert_name=KubePodCrashLooping namespace=default pod_name=example-pod

The bot replies with troubleshooting suggestions, demonstrating AI‑assisted alert handling.

Conclusion : The K8s + ChatGPT setup provides an automated, AI‑driven way to diagnose and resolve Prometheus alerts, and the same workflow can be applied to other observability scenarios.