Jesus Paz · 2 min read

How to Estimate the Cost of Each Namespace in Kubernetes (With Real Examples)

Walk through two anonymized namespaces and learn the math behind their monthly AWS charges.

kubernetes namespaces

Namespace-level reporting strikes the perfect balance: detailed enough for owners, simple enough for finance. Let’s break down two real examples (names changed) using ClusterCost data.

Example 1: payments-prod

ComponentMonthly costNotes
Node usage$23,420Mix of m6i.4xlarge and r6i.2xlarge, 70% utilization
Storage$3,180gp3 volumes for Postgres and Redis
Load balancers$1,950Dedicated ALB for checkout API
Observability$640Loki + Tempo ingest attributed by log volume
Total$29,190

How we calculated it:

  1. Tagged nodes with namespace=payments-prod using ClusterCost’s automatic namespace mapping.
  2. Allocated ALB cost 100% to the namespace because it serves only payments traffic.
  3. Distributed shared observability tooling by log volume (namespace produced 32% of cluster logs).

Insights: Checkout jobs reserve too much memory—ClusterCost’s rightsizing reports flagged 40% headroom, representing ~ $4k/month in potential savings.

Example 2: growth-experiments

ComponentMonthly costNotes
Node usage$6,400Spot-heavy node pools with short-lived pods
Storage$420Ephemeral volumes only
Networking$310Shared NAT weighted by data transfer
Idle tax$550Request-based floor to cover reserved buffer
Total$7,680

This namespace runs dozens of preview deployments. We applied a hybrid allocation:

  • Usage-based for compute (because pods spike and disappear).
  • Fixed “idle tax” (10% of workload cost) to ensure the team pays for the standby nodes required to support experiments.

Insights: 30% of cost came from previews older than seven days. Automating namespace TTL cuts spend in half without slowing releases.

How to implement namespace costing

  1. Ensure metadata quality. Every namespace needs labels for owner, team, environment, customer.
  2. Collect resource metrics. Deploy ClusterCost to gather CPU/RAM/storage usage and requests.
  3. Define allocation policies. Request vs. usage? Hybrid? Document the rule per environment.
  4. Apply shared service multipliers. Ingress, NAT, logging, and CI/CD should be distributed by measurable signals (requests, bytes, builds).
  5. Publish recurring reports. Weekly dashboards + monthly CSV exports keep everyone aligned.

Communicate with owners

Send each namespace owner a short digest:

  • Total cost this month vs. last month.
  • Top three workloads driving spend.
  • Suggested savings (right-sizing, removing idle resources, switching node types).
  • Links to ClusterCost dashboards for self-service drill-down.

Namespace costs stop the finger-pointing. Engineers get numbers they can act on; finance gets line items they can book. Everyone wins.***

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