maximilien / maximilien/weave-cli
feat: GKE Support (GCP) - Cloud Deployment
Nobody has claimed this yet.
- Dominant language
- Go
- Stars
- 34
- Forks
- 2
- PR merge metrics
- No merged PRs in 30d
Description
Summary
Implement GCP GKE support for production cloud deployments as part of Phase 2.
Scope
- Update weave-stack.yaml schema for GKE config
- Implement GKE cluster creation (src/pkg/stack/gke.go)
- Add GKE-specific Helm values (LoadBalancer, PD, Workload Identity)
- Test GKE deployment end-to-end
- Document GKE setup and configuration
Commands
weave stack up --runtime gke
Success Criteria
- GKE deployment tested on real GCP project
-
weave stack up --runtime gkeworks - GKE setup guide complete
Priority: Phase 2 - Week 1
Estimated: 3-4 days
Assignee: TBD (looking for Engineer with GCP/K8s experience)
Related
Part of Phase 2 cloud deployment push. Pairs with EKS support.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the weave-stack.yaml schema and src/pkg/stack/gke.go, then review the GKE-specific Helm values for LoadBalancer, PD, and Workload Identity. Run weave stack up --runtime gke against a real GCP project and use the success criteria to verify the deployment, setup guide, and command behavior are complete.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- gcp, go, helm, kubernetes
- Domain
- cli, cloud, infrastructure
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Mostly clear
- Newbie friendliness
- 48/100