michaelschecht GCP Kubernetes (GKE) Deployment
Overview
Deploy and manage containerized applications on Google Kubernetes Engine following best practices for production workloads.
Usage
Deploy [application] to GKE:
- Cluster configuration (node pools, regions)
- Kubernetes manifests (Deployments, Services, Ingress)
- Helm charts (if applicable)
- CI/CD pipeline (Cloud Build, GitHub Actions)
- Monitoring (Cloud Logging, Prometheus)
Examples
Microservices Architecture
"Deploy a microservices application to GKE with: multiple services, Istio service mesh, Cloud SQL, Cloud Storage, CI/CD with Cloud Build."
ML Model Serving
"Set up GKE cluster for serving ML models with: GPU nodes, horizontal pod autoscaling, load balancer, Cloud Monitoring."
Stateful Application
"Deploy a stateful app to GKE with: StatefulSets, persistent volumes (Cloud Filestore/PD), backup strategy."
Components Provided
- GKE Cluster: Terraform configuration
- Kubernetes Manifests: YAML for deployments, services, ingress
- Helm Charts: (if requested)
- CI/CD Pipeline: Cloud Build or GitHub Actions
- Monitoring: Stackdriver, Prometheus setup
- Security: Workload Identity, Network Policies
Output Includes
- GKE cluster setup (Terraform)
- Kubernetes deployment files
- CI/CD pipeline config
- Monitoring/logging setup
- Deployment instructions
- Troubleshooting guide