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Dev & engineering · 22 calculators

Dev and engineering calculators

Cloud costs, API pricing, on-call comp, server capacity, latency tradeoffs, RDS-vs-Aurora math — the numbers engineering leaders actually need.

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The 6 most-used in dev & engineering

All dev & engineering calculators

16 more in this category

Freelance dev hourly rate

What to charge per hour based on target salary + benefits + overhead + utilization + profit margin.

Server capacity planning

Servers needed for peak RPS with CPU/RAM math, utilization targets, and N+1 / 2N redundancy.

Database cost calculator

RDS, Aurora Serverless, PlanetScale, Supabase, Neon, Atlas — monthly DB cost with storage + reads + writes.

Load balancer breakeven

Self-hosted HAProxy vs managed AWS ALB / GCP LB / Cloudflare — where the crossover point actually is.

On-call compensation calculator

Fair pay for 24/7 rotations — passive stipend + active page pay at 1.5-2x hourly base, benchmarked to industry data.

Engineering OKR velocity

Is your quarterly OKR feasible? Team capacity, KTLO drag, and burn-rate projection say yes or cut scope.

Code review cycle time cost

Quantify the hidden tax of slow code review — context-switch drag, DORA benchmarks, annual recoverable productivity.

Sprint velocity vs deadline calculator

Project whether your team will hit a release deadline based on backlog story points, observed velocity, planned sprints, and a realistic confidence buffer.

Cloud egress cost calculator

Project monthly cloud egress (data transfer out) cost across AWS / GCP / Azure pricing tiers, plus break-even point for CDN deployment.

API tier upgrade decision calculator

Decide whether to upgrade an API tier vs paying overage fees — comparing current tier + overages against next tier's flat rate.

RDS vs Aurora cost comparison

Compare AWS RDS (Postgres/MySQL) vs Aurora total monthly cost — instance + storage + IOPS + backups + read replicas.

Datadog vs Grafana Cloud cost comparison

Compare Datadog vs Grafana Cloud annual cost based on hosts, custom metrics, log volume, and APM throughput.

Tech debt rewrite ROI calculator

Quantify ROI on a tech debt rewrite — engineering time invested vs ongoing velocity gain, bug rate reduction, and team retention impact.

Queue throughput capacity calculator

Project SQS / Kafka / RabbitMQ workers needed to handle a target throughput, given message processing time and worker count.

SSL/TLS certificate cost comparison

Compare SSL certificate options — free (Let's Encrypt, ACM), paid DV ($), OV ($$), EV ($$$) — across N domains over 3 years.

Container (ECS/EKS) vs Serverless (Lambda) cost

Compare monthly cost of running a workload on always-on containers vs serverless Lambda — break-even by request volume.

FAQ

dev & engineering questions, answered

Q1.How does the cloud cost calculator estimate egress?

Egress is the silent killer on AWS, GCP, and Azure — typically $0.05-0.12 per GB depending on tier and destination. The calculator models compute, storage, and egress separately, with destination-aware egress tiers. Run it before you commit to a multi-region architecture or a CDN setup; egress can be 30-60% of the total cloud bill in CDN-heavy products.

Q2.What on-call premium is fair?

Industry medians: 10-25% premium for primary on-call rotations, 5-15% for secondary, plus per-incident overtime. The calculator runs your hourly rate × on-call hours × premium and the per-page revenue model — so you can pitch a fair compensation structure backed by numbers rather than vibes.

Q3.When does EC2 rightsizing actually save money?

When sustained CPU is under 30% on the current instance class. The calculator takes your current instance type, observed utilization, and runs the savings against the next-smaller class — including reserved-instance amortization and burst-credit math for T-class. Most fleets that haven't been rightsized in a year have 20-40% headroom.

Q4.How is tech debt ROI computed?

ROI = (productivity gain × team size × salary) / refactor cost. The calculator quantifies the slowdown debt is causing — extra test cycles, deploy time, onboarding ramp — against the refactor effort. Most teams overestimate refactor effort by 1.5-2x and underestimate the productivity tax. The calculator forces you to put numbers on both, which usually flips the priority order.

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