talk2-k8s

# Build with AI with Gemini: Let's talk to your cluster - LLM Agents powered Kubernetes MCP Server ## Resources - [Cloud Credits](https://trygcp.dev/e/build-ai-SRIC01) - [GCP Console](https://console.cloud.google.com/) ## Pre Requisites - [GCloud CLI] (https://cloud.google.com/sdk/docs/install) - Install [kubectl](https://kubernetes.io/docs/tasks/tools/install-kubectl-linux/) - Kubernetes cluster running - Install [kubectl-ai](https://github.com/GoogleCloudPlatform/kubectl-ai) ## Setup 1. Create Kubernetes cluster on Google Cloud 2. Create a Gemini API key from (https://aistudio.google.com/apikey) 3. Export the API key as an environment variable ```bash export GEMINI_API_KEY=<API_KEY> ``` 4. Open a terminal and run the following command to start the kubectl-ai ``` kubectl-ai --model gemini-2.5-pro-exp-03-25 ``` or ``` kubectl-ai --model gemini-2.5-flash-preview-04-17 ``` ### Additional Tips Add a [Kubernetes MCP server](https://github.com/manusa/kubernetes-mcp-server) (Optional) ```bash code --add-mcp '{"name":"kubernetes","command":"npx","args":["kubernetes-mcp-server@latest"]}' ``` ## Talk to Cluster Challenge 1. Apply the following command to get started ```bash kubectl apply -f https://raw.githubusercontent.com/chamodshehanka/talk2-k8s/refs/heads/main/bwai-manifests.yaml ``` 2. Complete the challenge by using the kubectl-ai 3. Validate the challenge by running the following command ```bash chmod +x ./validate.sh ./validate.sh ``` Submission Link: https://forms.gle/FdQaVMad1MszTzkM8