Fargate vs EC2 Pricing Calculator and Cost Comparison

Use this for generic runtime economics

This page is the generic Fargate versus EC2 runtime comparison. It is useful when the workload shape is known but the orchestration platform is not the main question yet. It is not an ECS-specific cluster model.

• Compare here: running task capacity, EC2 utilization, commitments, and burst headroom.
• Keep separate: storage, networking, logging, and other non-compute lines.
• Move to the ECS page when task placement, daemon workloads, host density, or cluster overhead changes the result.

Use this when your search is really "EC2 vs Fargate pricing"

• Use this calculator when you want the same workload shape on Fargate and EC2.
• Use the EC2-only calculator when the platform choice is already settled.
• Keep non-compute lines separate so the runtime comparison does not hide transfer, load balancer, and log costs.

What this comparison is really testing

A Fargate vs EC2 decision is rarely just "which hourly rate is lower?" The real tradeoff is whether your service pays more from idle EC2 capacity and packing inefficiency or more from Fargate's premium for convenience and fine-grained runtime billing.

• Fargate side: less idle headroom, more direct alignment with running tasks.
• EC2 side: cheaper unit economics when instances stay utilized and commitments are well matched.
• Decision trap: comparing different workload shapes on each side invalidates the result.

Where EC2 vs Fargate comparisons usually go wrong

• Peak Fargate usage is compared to average EC2 capacity, or the reverse.
• EC2 packing efficiency is assumed instead of measured against real service density and headroom.
• Commitment coverage is ignored, making EC2 look worse than the actual effective rate.
• Non-compute lines are silently mixed in on one side but not the other.

What to pressure-test before making the platform call

• Check whether EC2 can really maintain the assumed utilization once spare capacity, deployments, and failure headroom are included.
• Check whether Fargate's higher unit rate is offset by less idle capacity and simpler operations for the service shape you actually run.
• Use the same monthly hours and the same traffic envelope on both sides.
• Treat networking, logging, storage, and load balancers as separate decision layers after compute is understood.

Baseline vs burst-capacity comparisons

How to review the first month after choosing a side

• Compare actual EC2 instance-hours or Fargate vCPU/GB-hours against the modeled baseline using the same month of workload data.
• If the result is off, identify whether the miss came from utilization assumptions, commitment coverage, or workload shape drift.

Non-compute checklist before you make the final call

• Load balancers and service discovery can change the outcome for small workloads.
• Logs and metrics can rise with task churn or high-cardinality observability patterns.
• NAT and egress often stay invisible in compute-only comparisons.
• Idle headroom on EC2 and burst-driven overage on Fargate should be modeled as separate scenarios.

Next steps

Treat this calculator as a same-workload compute comparison first, then validate load balancers, logs, NAT, storage, and real utilization separately before you choose Fargate or EC2.