Case study
Platform Lane
Kubernetes, environments, and a release an LLM service can actually run on.
Build, promote, deploy, and check
- 3
- Environments
- Helm
- Install path
- 0
- Secrets in git
A laptop API is not a deployment
Platform Lane is a placeholder for the infrastructure path around an LLM service: environments, cluster install, secrets, and rollback. The model itself is an input, not the thing being invented here.
Engineering approach
The pipeline builds one image, scans it, and promotes that same digest. Helm values change per environment. Secrets come from the cloud secret store at runtime.
- Immutable image digest from CI
- Kubernetes probes and resource limits
- Rollback to the previous release without a rebuild
Results
Sample releases moved through three environments with no secrets in the repository. Replace this with the clusters and pipelines you have actually operated.
Technical implementation
CI builds the container, Terraform prepares the cloud account, and Helm installs the service. Runtime config and secrets stay outside the image.
- Kubernetes
- Helm
- Terraform
- Docker
- GitHub Actions
Key features
- Separate dev, staging, and production environments
- Health checks and a documented rollback
- Secrets pulled at runtime, not baked into the image
- Resource limits so one service cannot starve the node
Written by
Anuoluwa Olutayo
AI Engineer