Managed Kubernetes in your own cloud: plan the operating model
Foundry packages a Kubernetes foundation in your AWS or Google Cloud account. Decide who owns access, upgrades, recovery and day-two operations before adding production workloads.
Relevant capabilities
- Managed Kubernetes foundation
- Observability, single sign-on, private access, backups and autoscaling
- Foundation for additional HyperLake stacks
How should you compare the options?
- Which responsibilities stay with your platform team, and which belong in the managed scope?
- How will existing CI/CD, Helm charts and identity integrate?
- What recovery and upgrade procedures must pass before production?
What should you bring?
- Cloud account and region
- One application and its resource requirements
- Identity provider, deployment pipeline and recovery objectives
What does a practical first workflow look like?
- Inventory the current cluster and operating responsibilities.
- Define one non-production workload and its access, backup and upgrade checks.
- Agree ownership and charges before deploying and validating the pilot.
What should you check before expanding?
- Exercise restore and identity revocation.
- Check workload behavior during a planned upgrade.
- Measure infrastructure and operating effort separately.
How should you evaluate the cost?
Compare the cloud bill, platform charges, operating effort and migration work for the same workload. Cloud capacity is not free. Charges and scope need agreement before paid deployment.
What needs checking before switching?
AWS and Google Cloud are available today; other deployment environments are roadmap. Preserve the existing workload and access path until compatibility, recovery and cutover checks pass.