gke-cost-analysis
Answer natural language questions and perform analysis on GKE cluster
by googleFree
Description
GKE cost analysis is an agent skill for answering natural-language questions about what Google Kubernetes Engine clusters and workloads cost. Typical questions include what your costs are across projects, which namespace is the most expensive, and why a cluster's cost has spiked. The skill gives a structured answer built from three sources: BigQuery billing exports, cost allocation metadata that ties spending to namespaces and labels, and live cluster metrics that show how much of what you pay for is actually used. Its instructions describe how to handle a cost question step by step, so the answer comes from data rather than guesses. It is useful for platform and finance teams that want to see where Kubernetes spend goes and to explain changes in it. The skill works alongside the GKE cost optimization skill, which covers the fixes once waste is found. It is published by Google on skills.sh under the google skills repository, with about 4.7K installs. The skills.sh listing shows Gen Agent Trust Hub, Socket and Snyk all passing.…
Highlights
- Answers natural-language cost questions
- Uses BigQuery billing exports
- Namespace and label cost allocation
- Compares spend with live utilization
- Explains cost spikes
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gke-cost-analysis FAQ
What questions can it answer?
Costs across projects, the most expensive namespace, and why a cluster's cost is spiking.
What data does it use?
BigQuery billing exports, cost allocation metadata and live cluster metrics.
Does it change anything?
The skill is about analysis. Fixes are covered by the separate GKE cost optimization skill.
How do I install it?
Run npx skills add https://github.com/google/skills --skill gke-cost-analysis.
What security audits has it passed?
skills.sh lists three audits: Gen Agent Trust Hub Pass, Socket Pass and Snyk Pass.
What are the best gke-cost-analysis alternatives?
Popular alternatives to gke-cost-analysis include azure-cost-optimization, cost-optimization and bigquery-bigframes. See all gke-cost-analysis alternatives