惯性聚合 高效追踪和阅读你感兴趣的博客、新闻、科技资讯
阅读原文 在惯性聚合中打开

推荐订阅源

Know Your Adversary
Know Your Adversary
N
News and Events Feed by Topic
C
CXSECURITY Database RSS Feed - CXSecurity.com
P
Privacy & Cybersecurity Law Blog
P
Privacy International News Feed
Recent Announcements
Recent Announcements
T
Threatpost
D
Darknet – Hacking Tools, Hacker News & Cyber Security
Last Week in AI
Last Week in AI
博客园 - 叶小钗
AWS News Blog
AWS News Blog
C
Cyber Attacks, Cyber Crime and Cyber Security
Cyberwarzone
Cyberwarzone
月光博客
月光博客
The Cloudflare Blog
罗磊的独立博客
P
Palo Alto Networks Blog
酷 壳 – CoolShell
酷 壳 – CoolShell
博客园 - 聂微东
cs.AI updates on arXiv.org
cs.AI updates on arXiv.org
T
Tailwind CSS Blog
PCI Perspectives
PCI Perspectives
Forbes - Security
Forbes - Security
Latest news
Latest news
V
Visual Studio Blog
阮一峰的网络日志
阮一峰的网络日志
奇客Solidot–传递最新科技情报
奇客Solidot–传递最新科技情报
WordPress大学
WordPress大学
让小产品的独立变现更简单 - ezindie.com
让小产品的独立变现更简单 - ezindie.com
有赞技术团队
有赞技术团队
N
News and Events Feed by Topic
爱范儿
爱范儿
L
Lohrmann on Cybersecurity
Cisco Talos Blog
Cisco Talos Blog
I
Intezer
S
Secure Thoughts
Hacker News: Ask HN
Hacker News: Ask HN
C
CERT Recently Published Vulnerability Notes
TaoSecurity Blog
TaoSecurity Blog
博客园 - 司徒正美
Google DeepMind News
Google DeepMind News
cs.CV updates on arXiv.org
cs.CV updates on arXiv.org
Google Online Security Blog
Google Online Security Blog
H
Hacker News: Front Page
Recent Commits to openclaw:main
Recent Commits to openclaw:main
V2EX - 技术
V2EX - 技术
Microsoft Azure Blog
Microsoft Azure Blog
O
OpenAI News
cs.CL updates on arXiv.org
cs.CL updates on arXiv.org
Webroot Blog
Webroot Blog

DEV Community

Authentication Security Deep Dive: From Brute Force to Salted Hashing (With Java Examples) Why AI Systems Don’t Fail — They Drift Spilling beans for how i learn for exam😁"Reinforcement Learning Cheat Sheet" I Replaced Chrome with Safari for AI Browser Automation. Here's What Broke (and What Finally Worked) How Python Borrows Other People's Work The $40 Architecture: Processing 1 Billion API Requests with 99.99% Uptime Vibe Coding: A Workflow Guide (From Zero to SaaS) Most webhook security guides protect the wrong side. The scary part is delivery. Headless CMS for TanStack Start: Build a Blog with Cosmic EU Age Verification App "Hacked in 2 Minutes" — What Actually Happened Comfy Cloud’s delete function does not actually remove files Running AI Models on GPU Cloud Servers: A Beginner Guide Event-driven media intelligence with AWS Step Functions and Bedrock I scored 500 AI prompts across 8 quality dimensions — here's what broke How to Call Google Gemini API from Next.js (Free Tier, No Backend Needed) The Portal Protocol: Reclaiming Human Connection in the Age of AI How to Fix Your Team's Scattered Knowledge Problem With a Self-Hosted Forum Intro to tc Cloud Functors: A Graph-First Mental Model for the Modern Cloud Designing Multi-Tenant Backends With Both Ownership and Team Access I Built a Neumorphic CSS Library with 77+ Components — Here's What I Learned PostgreSQL Performance Optimization: Why Connection Pooling Is Critical at Scale Cómo construí un SaaS multi-rubro para gestionar expensas en Argentina con FastAPI + Vue 3 🚀 I Built an Ethical Hacking Scanner Tool – Open Source Project I Replaced /usage and /context in Claude Code With a Single Statusline A Pythonic Way to Handle Emails (IMAP/SMTP) with Auto-Discovery and AI-Ready Design I Collected 8.9 Million Polymarket Price Points — Here's What I Found About How Markets Really Move EcoTrack AI — Carbon Footprint Tracker & Dashboard Everyone's Using AI. No One Agrees How. 5 self-hosted ebook managers worth trying in 2026 Building Your First AI Agent with LangChain: From Chatbot to Autonomous Assistant Common SOC 2 Failures (Real World) Stop Vibe-Checking Your AI App: A Practical Guide to Evals How to Use SonarQube and SonarScanner Locally to Level Up Your Code Quality Your Next To-Do App Is Dead — I Replaced Mine with an OpenClaw AI Sign a Nostr event in 60 lines of Python using coincurve — no nostr-sdk, no nbxplorer, no rust toolchain ITGC Audit Explained Like You’re in Big 4 Patch Tuesday abril 2026: Microsoft parcha 163 vulnerabilidades y un zero-day en SharePoint Stop scraping everything: a better way to track competitor price changes Listing on MCPize + the Official MCP Registry while routing payments OUTSIDE the marketplace — how I kept 100% of my x402 revenue Building an AI-Powered Risk Intelligence System Using Serverless Architecture Why We Ripped Function Overloading Out of Our AI Toolchain Testing AI-Generated Code: How to Actually Know If It Works SaaS Churn Is Killing Your Business. Here Is What to Do About It (Without a Support Team) The Speed of AI Is No Longer Linear - And Self-Improving Models Are Why How to Implement RBAC for MCP Tools: A Practical Guide for Engineering Teams From Standard Quote to Persuasive Proposal: AI Automation for Arborists I built a CLI that scaffolds complete multi-tenant SaaS apps Axios CVE-2025–62718: The Silent SSRF Bug That Could Be Hiding in Your Node.js App Right Now The dashboard that ended our friendship Data Pipelines Explained Simply (and How to Build Them with Python) The Hidden Cost of AI Systems Nobody Talks About. undefined vs undeclared, and how typeof behaves Switching from file-based jobs to NATS/Kafka in Rust without changing code io_uring Adventures: Rust Servers That Love Syscalls Why Agentic AI is Killing the Traditional Database The POUR principles of web accessibility for developers and designers Quantum Neural Network 3D — A Deep Dive into Interactive WebGL Visualization How To Install Caveman In Codex On macOS And Windows Automation Pipeline Reliability: Why Your Workflow Breaks When Nobody Is Watching I Built an 'Open World' AI Coding Agent — It Works From ANY Folder From Freelancing to Product: A Tech Service Company's SaaS Transformation China's AI Giants: Adding Tencent Hunyuan & ByteDance Doubao to AI University (74 Providers) On the Vibe Coders and Their Lies clerk: Auto-Summarize Your Claude Code Sessions AI Weekly — 2026/04/10–04/17 | The Model Lockdown Is Here, but the Toolchain Is the Real Battleground AI 週報 — 2026/04/10–2026/04/17 模型封鎖潮來了,但工具鏈才是真戰場 Maybe this is how Open-Source apps are born... 🚀 Fine-Tune LLMs with LoRA and QLoRA: 2026 Guide tRPC v11 + Next.js App Router: End-to-End Type Safety Without the Boilerplate ShadCN UI in 2026: Why I Stopped Installing Component Libraries and Started Owning My Components SaaS Billing in React Server Components: Stripe + Supabase Without a Single `useEffect` Join our DEV Weekend Challenge — $1,000 in Prizes Across TEN winners! Submissions Due April 20 at 6:59 AM UTC. Implementing FSRS Spaced Repetition in Flutter + Supabase — Adding Memory Science to an AI Learning App "I Texted My Localhost From the Train — Claude Code Fixed the Bug Before I Got Home" I Built a Sales Prep AI and It Went Deeper Than Expected Design to Code #2: One JSON, Eleven Outputs Solving the 100M-Row Problem: A Summary Table Pattern for High-Volume Push Notification Logs Flutter Web With Wasm: What Actually Changes For Developers I Built 50 Royalty-Free Soundtracks for My Side Project in a Weekend Using AI Music Generation The Vibe Coding Security Checklist: 7 Things to Check Before You Ship Stop Letting Googlebot Guess Fix Your React App's SEO Right Desconstruindo o Streaming do LinkedIn: Como Criar um Engine de Extração de Vídeo de Alta Performance com HLS e FFmpeg (EDA Part-1) EDA (Exploratory Data Analysis) Explained With Real Life — Why Looking at Your Data Is the Most Important Step in Machine Learning Brand Relationship Management at Scale: Our 4-Touch Outreach System for 200+ Brands Why String.fromEnvironment() Might Return an Empty String in Dart JGuardrails 1.0.0 — Hardening Java LLM Apps Against Jailbreaks, Toxicity, and Prompt Injection Plan and Schedule a Full Week of Threads Content From One Claude Conversation Coding Cat Oran Ep3, Five Tables Changed Everything Updated: BFF Pattern I'm done watching freelancers get buried by 200 proposals. So I'm building the alternative. This is my first post BFS Algorithm in Java Step by Step Tutorial with Examples Tracking LLM Pricing Monthly: An Open Dataset for 22 AI Models How We Measure Content ROI on a Comparison Site: Revenue Attribution Without Perfect Data Introducing Nova AI Ops: The AI-Native Operating System for SRE Teams I built a free desktop video downloader for Windows — Grabbit How Talkie OCR Helps Vision-Impaired & Dyslexic Users Read the World Around Them VRCFaceTracking安装和iPhone面捕配置教程,有bug Even CrowdStrike Can't See Your Agents The Automation Gold Rush: What n8n Workflows and Claude Are Opening Up for Developers Right Now
How to Cut AWS ECS Fargate Costs by 60–70%
Matt · 2026-06-04 · via DEV Community

How to Cut AWS ECS Fargate Costs by 60–70%

Originally published at https://fortem.dev/blog/ecs-fargate-cost-optimization
Your ECS Fargate dev and staging environments run 168 hours a week. Your team works 40. Here's the math on what that costs — and four methods to fix it.


Guide

Your ECS Fargate bill is higher than it needs to be. The AWS documentation will tell you to buy Savings Plans and right-size your instances. That's not wrong — but it misses the biggest lever by a wide margin. This guide covers four methods, starting with the one that cuts 60–70% before you touch a single task definition.

TL;DR

  • Dev/staging environments run 168 hrs/week. Your team works ~40. You're paying for the other 128.
  • Scheduling environments to stop during off-hours cuts dev/staging spend by 60–70% — no infrastructure changes.
  • Right-sizing vCPU and memory adds another 10–20% on top.
  • Fargate Spot gives 40–70% discount on interruption-tolerant workloads.
  • Real example: 12 environments, $1,730/mo → $380/mo. 78% reduction. $16,200/yr saved.

Where the money goes — Fargate pricing breakdown

AWS Fargate charges for two resources per task: $0.04048 per vCPU-hour and $0.004445 per GB-hour (us-east-1, Linux/x86, on-demand), per the AWS Fargate pricing page (verified May 2026).

A single service running 0.5 vCPU and 1 GB costs:

0.5 × $0.04048 + 1 × $0.004445 = $0.024685/hr

× 730 hrs/month = $18.02/service/month

× 8 services/environment = $144/environment/month

× 12 environments = $1,730/month

That's for a conservative fleet — 12 environments, 8 services each, half a vCPU per service. Most teams have more. The math compounds: it's not any single expensive environment causing the bill. It's 12 small ones, each billing quietly around the clock.

The 24/7 problem — what you're actually paying for

There are 168 hours in a week. A typical engineering team works 40–50 of them. The rest — nights, weekends, holidays — those 12 dev and staging environments are sitting idle, billing AWS by the second.

The Flexera State of the Cloud 2025 report puts average cloud waste at 32% across organizations. For ECS Fargate development fleets, the number is higher — because dev environments are structurally different from production. Nobody's on-call for them at 3am, but they're running anyway.

$1,730/mo

$515/mo

24/7 (always on)

168 hrs/week

Business hours only

50 hrs/week · Mon–Fri 9am–7pm

Monthly AWS Fargate cost — 12 environments−70% savings

KEY INSIGHT: The biggest Fargate cost driver for most teams isn't their largest environment. It's the 12 small ones running overnight and on weekends — each individually invisible, collectively expensive.

Business-hours scheduling (Mon–Fri 9am–7pm = 50 hrs/week) reduces active compute time to 50 ÷ 168 = 29.8% of the 24/7 baseline. On our 12-environment example: $1,730 → $515/month. Before touching a single task definition.

Method 1 — Environment scheduling (60–70% reduction)

Scheduling means stopping all ECS services in an environment during off-hours and restarting them at the start of the workday. The environment is unavailable overnight and on weekends — which is fine for anything that isn't on-call.

“Mon–Fri 9am–7pm = 50 hours/week = 29.8% of baseline cost. Weekend default: off. One-click override for ad-hoc work.”

— Fortem scheduling model, per-environment, per-timezone

Two implementation paths:

  • AWS EventBridge Scheduler— native, no extra cost. Write a Lambda or Step Functions rule per environment that sets each ECS service's desired count to 0 (stop) or N (start). Requires code per environment; gets tedious past 10–15 environments.

  • Fortem — set a schedule per environment in the UI. Fortem stops and starts all services atomically, handles per-timezone configuration, and lets developers request one-click overrides for ad-hoc work without touching the schedule.

Per-timezone matters:your EU team's workday starts 6 hours before your US team's. A single UTC schedule shuts down environments while one team is still working. Configure schedules per team, not globally.

Method 2 — Right-sizing vCPU and memory (10–20% additional)

Most development services are over-provisioned. When a service was first deployed, someone picked a reasonable allocation — 1 vCPU, 2 GB — and never revisited it. In production, that allocation might be justified. In a dev environment processing one request per minute from a developer doing manual testing, it's paying for four times what's needed.

How to check: CloudWatch → ECS → your cluster → CPU and Memory Utilization per service. Look at the 7-day average. A service averaging under 30% CPU utilization on 1 vCPU can be safely dropped to 0.5 vCPU for dev. Under 15%: try 0.25 vCPU.

Savings per environment: 1 vCPU → 0.5 vCPU, per service

Before: 1 × $0.04048 × 730 hrs = $29.55/service/mo

After: 0.5 × $0.04048 × 730 hrs = $14.78/service/mo

8 services × $14.78 saved = $118 saved/environment/mo

Apply right-sizing only to dev and staging. Keep separate task definition files for dev and prod so changes don't drift. Never right-size production without load testing under realistic traffic.

Method 3 — Fargate Spot for non-production (40–70% discount)

Fargate Spot runs tasks on spare AWS capacity at roughly a 70% discount versus on-demand, per AWS Fargate pricing. The tradeoff: AWS can interrupt your tasks with a 2-minute warning when that capacity is reclaimed.

For many dev workloads, a 2-minute interruption is completely tolerable — especially combined with scheduling that already stops environments overnight.

Right for Spot: CI/CD test runners, batch jobs, dev environments for individual engineers, any workload that restarts cleanly.

Wrong for Spot: staging used for customer demos, environments with stateful in-memory state, anything with a guaranteed uptime requirement during business hours.

To enable: update your capacity provider strategy to FARGATE_SPOT. You can split — 80% Spot / 20% On-Demand — to maintain capacity during interruptions.

Method 4 — Kill orphaned environments

Every team has them. An environment was spun up for a feature branch three quarters ago. The engineer who owned it left. The project was deprioritized. The environment is still running, billing $200–$400/month, and nobody has noticed because it doesn't appear in any deployment dashboard.

How to find them: pull the last task run timestamp from CloudWatch Logs Insights — any service with no log events in the last 30 days is a candidate. Cross-reference with your deployment records. No deploy in 60+ days and no active owner: safe to stop.

KEY INSIGHT: In a fleet of 20+ environments, most teams find 2–3 orphaned environments when they look seriously. At $300/month each, that's $900/month — $10,800/year — for compute serving exactly zero requests.

Fortem surfaces last deploy time, last access time, and environment owner for every environment in your fleet. Orphan identification goes from a 2-hour CloudWatch archaeology project to a 2-minute filter. Without tooling, most teams never do this audit — the environments just keep billing.

Putting it together — $1,730 → $380/month

Same fleet throughout: 12 environments, 8 services each, 0.5 vCPU, 1 GB, AWS us-east-1 on-demand rates. Each method applied cumulatively.

Cumulative savings — 12 environments

$1,730

$515

−70%

$440

−15%

$380

−14%

Baseline (24/7)

+ Scheduling

+ Right-sizing

+ Spot (4 envs)

Monthly cost — same 12 environments$1,730 → $380 · −78%

Step by step:

Baseline (24/7): $1,730/mo

+ Business-hours scheduling (29.8% of baseline): $515/mo −70%

+ Right-sizing (0.5→0.25 vCPU on 8 dev envs): ~$440/mo −15%

+ Fargate Spot on 4 eligible environments: ~$380/mo −14%

Total: $380/mo · 78% reduction · $16,200/yr saved

This is conservative — zero orphaned environments assumed, lowest Fargate size, Spot applied to only 4 of 12 environments. Larger fleets, bigger services, and multiple AWS accounts scale these numbers proportionally.

The Fortem ROI calculator lets you plug in your actual fleet size — number of environments, services, vCPU, memory — and see the number for your specific bill.

Common questions

Does stopping ECS environments lose any data?

How long does an ECS environment take to start up after scheduling?

Can I schedule only some services within an environment?

Is Fargate Spot safe for staging environments?

How do I find out which of my environments are costing the most?

### See what your fleet would save Run the calculator in 30 seconds, then book 2