Learning Path: Scalable applications - Monitor with Prometheus | Google Kubernetes Engine (GKE)

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Product overview
Explore GKE documentation
Use GKE or Cloud Run?
Try it
Fine-tune GKE services with Gemini assistance
Learn fundamentals
Start learning about GKE
Learn Kubernetes fundamentals
Learn GKE essentials
- GKE modes of operation
- Video playlist: GKE Essentials
Common GKE user roles and tasks
Get started
Cluster lifecycle
Cluster administration overview
Cluster configuration
Deploying workloads
GKE cluster architecture
Workflows and tools
Learning path: Containerize your app
Learning path: Scalable apps
Design and plan
Code samples
Architectures and best practices
- Develop and deliver apps with Cloud Code, Cloud Build, and Google Cloud Deploy
- Address continuous delivery challenges
Set up GKE clusters
Plan clusters for running your workloads
Set up Autopilot clusters
Set up Standard clusters
Prepare to use clusters
- Use labels to organize clusters
- Manage GKE resources using Tags
Configure node pools
Set up clusters for multi-tenancy
Use fleets to simplify multi-cluster management
- About fleets
- Create fleets
Set up service mesh
- Provision Cloud Service Mesh in an Autopilot cluster
Enhance scalability for clusters
Reduce and optimize costs
Plan for cost-optimization
View GKE costs
- View cluster costs breakdown
- View cost-related optimization metrics
Optimize GKE costs
Configure autoscaling for infrastructure
Configure autoscaling for workloads
Provision storage
About storage for GKE clusters
Use Kubernetes features, primitives, and abstractions for storage