Your Cluster Is at 80% CPU and You Just Got Paged

You set requests. You set limits. The scheduler placed the pods. But did you do the napkin math first —or did you eyeball it? These eight tools replace gut feel with arithmetic. vCPU hours. Pod density. Lambda GB-seconds. Kafka heap pressure. ALB rule chains. Before the next page, run the numbers.

vCPU →Core-Hours

16 vCPUs × 730 hours = 11,680 core-hours/month. 200 instances = 2.3M core-hours. Reservation planning, quantified.

vCPU Accumulator →

K8s milliCPU →Cores

4,500m = 4.5 cores. 20 pods/node, each requesting 500m = 10 cores. You're overcommitted 2.2:1. No wonder CPU throttling fires at 2 AM.

milliCPU Converter →

K8s Pod Density & Bin Packing

16 vCPU, 64 GB, 110 pod ENI limit. Your app: 2 GB/pod. Memory bottleneck hits at 32 pods —long before CPU or ENI. Find the real constraint.

Pod Density Calculator →

Lambda Execution Cost

5M invocations × 200ms × 1024MB. Lambda bills in 1ms increments. The free tier ends, the bill begins. Project the monthly burn rate before your function goes viral.

Lambda Cost Projector →

Serverless Ephemeral Storage

10 GB /tmp × 50 concurrent invocations = 500 GB provisioned. Every GB over the free tier is $0.0000000309/GB-ms. It adds up. Run the tally.

Ephemeral Storage Meter →

ALB Rule Latency Inspector

80 rules. 0.2—.5ms each. 16—0ms added latency —before the first byte reaches your backend. Count your rules before you burn your latency budget.

ALB Latency Inspector →

Kafka Partition →Broker RAM

1,200 partitions. ~10 MB overhead each. 12 GB JVM heap —before producer buffers. Size the broker or watch the OOM killer punch in at peak ingest.

Kafka RAM Profiler →

NAT Gateway Cost →Full Bill

$0.045/hr idle charge before a byte moves. 3 AZs = $98.55/mo in hourly alone. Data processing at $0.045/GB. Cross-AZ double-counting. Model vs VPC Endpoint replacement.

NAT Gateway Cost Engine →

Managed DB Cost →RDS vs Aurora vs Cloud SQL

Compare AWS RDS, Aurora, Google Cloud SQL, and Azure DB monthly: compute, storage, provisioned IOPS, Multi-AZ HA, read replicas, backup retention, committed-use discounts. The managed-DB bill isn't one number.

Managed DB Cost Engine →

S3 Lifecycle Cost Estimator →Storage Tier TCO

Compare 4 lifecycle strategies: All Standard vs IA →Glacier Instant/Flexible/Deep Archive. Model transition costs, minimum-duration penalties (30-180 days), 128 KB object floor, Glacier retrieval fees, and 3-year TCO with 2026 us-east-1 pricing.

S3 Lifecycle TCO Engine →

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