Allocation
Clusters, namespaces, teams, workloads and shared services.
Cloud cost
Kubernetes cost optimization
Connect cluster spend to workloads and change requests, limits, nodes and scaling without weakening reliability. Reduce avoidable spend without quietly removing reliability, security or delivery headroom.
01 / Scope
Work on the system, not around it.
The engagement starts with the architecture and working constraints already in place. We agree the risky paths, make the changes visible and leave ownership with the team running the system.
Demand
Requests, limits, actual usage, schedules and replicas.
Supply
Node pools, instance families, autoscaling and commitment coverage.
Architecture
Data transfer, storage, logging and multi-cluster trade-offs.
02 / Method
Reduce avoidable spend without quietly removing reliability, security or delivery headroom.
Scope and access are agreed before the work begins. Decisions, changes and residual risk remain visible throughout the engagement.
Explain the baseline
Start with evidence, owners and the constraints that shape the safe solution.
Model the trade-offs
Prioritise by practical impact and implement with the people who operate the system.
Change and verify
Test the changed path, document the decision and hand over a backlog that still makes sense.
03 / What remains
- 01Kubernetes allocation baseline
- 02Workload and node opportunity register
- 03Implemented sizing and scaling changes
- 04Verification and ownership dashboard
Related work
Continue with the adjacent problem.
04 / Talk to Gritt
What is happening in the system?
Send the cloud, workload or deadline. An engineer will reply and tell you whether this is the right scope.
email