The Hidden Egress Traps in Kubernetes
Most cloud bills spike from data transfer, not compute. Map your east-west and egress paths before they drain your margin.
Walk through two anonymized namespaces and learn the math behind their monthly AWS charges.
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.
payments-prod| Component | Monthly cost | Notes |
|---|---|---|
| Node usage | $23,420 | Mix of m6i.4xlarge and r6i.2xlarge, 70% utilization |
| Storage | $3,180 | gp3 volumes for Postgres and Redis |
| Load balancers | $1,950 | Dedicated ALB for checkout API |
| Observability | $640 | Loki + Tempo ingest attributed by log volume |
| Total | $29,190 |
How we calculated it:
namespace=payments-prod using ClusterCost’s automatic namespace mapping.Insights: Checkout jobs reserve too much memory—ClusterCost’s rightsizing reports flagged 40% headroom, representing ~ $4k/month in potential savings.
growth-experiments| Component | Monthly cost | Notes |
|---|---|---|
| Node usage | $6,400 | Spot-heavy node pools with short-lived pods |
| Storage | $420 | Ephemeral volumes only |
| Networking | $310 | Shared NAT weighted by data transfer |
| Idle tax | $550 | Request-based floor to cover reserved buffer |
| Total | $7,680 |
This namespace runs dozens of preview deployments. We applied a hybrid allocation:
Insights: 30% of cost came from previews older than seven days. Automating namespace TTL cuts spend in half without slowing releases.
owner, team, environment, customer.Send each namespace owner a short digest:
Namespace costs stop the finger-pointing. Engineers get numbers they can act on; finance gets line items they can book. Everyone wins.***
Contributor
Most cloud bills spike from data transfer, not compute. Map your east-west and egress paths before they drain your margin.
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