Platform capability
See past the nodes. Into every workload.
Check container and cluster usage against what each workload really needs, not just server cost.
- Suggested request2.0 vCPU
- Health checkp95 latency unchanged
- OwnerPayments team
What it does
Match cluster capacity to what apps need.
Check container and cluster usage against what each workload really needs, not just server cost.
- Review supported Kubernetes workload sizing, resource requests and usage signals.
- Identify potential compute and resource efficiency opportunities with engineering context.
- Evaluate proposed changes against service health, capacity needs and operational ownership.
Data in
Cloud & operational data
Approved sources and scope
Analysis
Context & decisions
Rules, economics, ownership
Result
Measured outcomes
Review, validate, report
Why it matters
Efficiency at the workload level
See Kubernetes costs by workload instead of one big line, and save money without hurting reliability.
Example
Find a namespace whose resource requests materially exceed sustained usage.
Data and results
Make cluster data tell you something.
Inputs and dependencies
Connected Kubernetes environments, cluster inventory and available workload telemetry.
What teams can work with
Workload-level efficiency insights and actionable optimization context.
Related capabilities
AI-Assisted Optimization Recommendations
Prioritize efficiency with operational context
Unified operations context
See the signal
Cost Explorer & Business Allocation
From billing data to accountable expenditure
See Kubernetes & Workload Efficiency in context.
Check how this feature fits your cloud, data, permissions and business needs.
Availability note
The CloudScore product team confirms what’s available; setup depth and requirements depend on your deployment.
Book a demo
Point it at your clusters. See the workloads.
We’ll show this feature with examples like yours and explain the data and permissions it needs.