Currently viewing the human version
Switch to AI version

AWS Killed Cloud9 and Now We're All Scrambling

AWS dropped the hammer on July 25, 2024 - no more new Cloud9 accounts. Existing users can keep using it, but AWS basically said "fuck it, we're done adding features." They want everyone migrating to their IDE toolkits or CloudShell, which means learning new workflows all over again.

What Made Cloud9 Actually Useful (And Why Its Death Sucks)

VS Code Interface

Cloud9 wasn't perfect, but it solved real problems. You could spin up a development environment in your browser without installing jack shit locally. The code editor handled 40+ languages with decent syntax highlighting and debugging capabilities - nothing groundbreaking, but it worked.

The killer feature was real-time collaboration. You could literally watch your teammate type code in the same file while debugging why their Lambda function was throwing ECONNREFUSED errors. No screen sharing bullshit, no "can you push that change so I can see it" - just instant pair programming that actually worked.

For teams stuck with shitty laptops or working remotely, Cloud9 was a lifesaver. Everything ran on AWS infrastructure, so you weren't limited by your local machine's RAM when building Docker containers or running heavy test suites.

The AWS Integration That Actually Worked

Here's what Cloud9 got right: everything AWS was pre-installed and configured. AWS CLI, SAM CLI, CloudFormation, AWS SDK, Docker, and even Git - all there, all working, no credential bullshit to deal with. You could deploy Lambda functions with one click instead of fighting with sam build && sam deploy and wondering why your IAM role permissions are fucked.

The Lambda debugging experience was solid. Set a breakpoint, invoke your function, and actually step through your Python code instead of adding print() statements like a caveman. Try doing that with VS Code's AWS toolkit - you'll spend 2 hours configuring the local debugger and still get UnknownServiceError when it tries to connect.

Why AWS Killed It (The Real Story)

AWS officially announced the death on July 25, 2024. The corporate speak is "strategic focus on developer tools that integrate with existing workflows," but let's be real - they want you using their IDE plugins and developer experience tools so you're locked into AWS services even tighter.

The writing was on the wall for months. Cloud9 hadn't gotten significant updates since 2019, the interface looked dated as hell, and performance was getting worse. AWS decided it was cheaper to build plugins for existing IDEs than maintain their own browser-based IDE that probably had 6 engineers working on it. Check the Cloud9 release notes - barely any meaningful updates in years.

The developer community reaction has been mixed - some saw it coming, others are scrambling to find alternatives. Check HackerNews discussions, Stack Overflow threads, and AWS re:Post for the real developer pain. The official AWS documentation barely mentions the deprecation timeline, typical AWS style.

What We're Actually Losing

The "it just works" factor was Cloud9's superpower. New team member joins? Give them the environment URL and they're coding in 30 seconds. No "install Node 18.2.1, not 18.3.0 because that breaks our build system" or spending a morning debugging why their Docker daemon won't start on macOS Ventura.

Bootcamps and CS programs loved this shit because students couldn't fuck up their local machines. Professor shares an environment link, everyone has the same Python 3.9 setup with the same packages. No more "my code works on my laptop but not on yours" debugging sessions. Check AWS Educate and academic use cases that made Cloud9 popular in education.

For AWS teams, the integration was genuinely useful. You could browse S3 buckets, check CloudWatch logs, and deploy Lambda functions without leaving your code editor. The integrated terminal and environment management features were actually solid. Now you'll be context-switching between VS Code, the AWS console, and probably 3 different terminal windows to do the same thing. Productivity is about to take a nosedive for anyone who was fully bought into the Cloud9 workflow.

Your Migration Options (And Why They All Suck in Different Ways)

GitHub Codespaces Logo

AWS wants you to use their IDE toolkits or CloudShell. Spoiler alert: neither gives you the same experience as Cloud9. Prepare for weeks of configuration hell and workflow adjustments.

AWS IDE Toolkits: "It's Just Like Cloud9" (Narrator: It Wasn't)

The VS Code AWS Toolkit is AWS's main push. It's decent when it works, but expect to become your team's unofficial DevOps person. Check out the installation guide, feature documentation, and GitHub repository for the full scope of what you're signing up for. Here's what you're signing up for:

First, you'll spend 2 hours figuring out why the extension won't authenticate with your existing credentials. The "AWS: Connect to AWS" command will fail with CredentialsProviderError, and you'll end up re-running aws configure 5 times before realizing you need to use AWS SSO instead. The credential configuration docs and IAM setup guide will become your best friends.

Check out the AWS Toolkit troubleshooting guide - it's basically a list of everything that can go wrong. Stack Overflow is full of people asking why their credentials don't work.

Lambda debugging? Forget the one-click experience from Cloud9. You'll configure SAM CLI locally, then fight with Docker when sam local start-api throws RequestsDependencyWarning because your Python virtual environment is fucked.

The resource explorer is nice - you can browse S3 buckets and check Lambda function logs without opening the AWS console. But it randomly disconnects and shows "Unable to load AWS resources" until you restart VS Code. Happens about once a day if you're lucky.

AWS CloudShell: Great for CLI, Useless for Everything Else

CloudShell is basically a glorified terminal that opens in your browser. Gets you 1GB storage and comes with AWS CLI, Python, Node.js, Git, and Docker pre-installed. Perfect for running aws s3 ls or debugging IAM permissions, terrible for actual development.

Don't even think about editing anything longer than a shell script. The built-in editor is vim/nano, and trying to write application code in a browser terminal will make you want to throw your laptop out the window. CloudShell is fine for:

  • Running AWS CLI commands when you don't want to configure credentials locally
  • Quick infrastructure debugging (aws logs describe-log-groups type shit)
  • Deployment scripts that take 30 seconds to run

It's free, it works, but if you're coming from Cloud9's full IDE experience, you'll feel like you've been downgraded to 1995.

VS Code Remote Development: The DIY Cloud9

VS Code Remote Development Architecture

Want Cloud9's remote development but with actual control? VS Code Remote-SSH lets you run VS Code locally while your code lives on an EC2 instance. It's flexible as hell but you'll become the team's infrastructure babysitter.

Setting this up takes about 4 hours if everything goes right (it won't). First, you'll provision an EC2 instance, configure security groups, set up SSH keys, then spend 30 minutes debugging why the SSH connection keeps timing out. Hint: check your VPC's route table configuration and network ACLs.

AWS has a guide for connecting to private EC2 instances, but good luck following it without 3 cups of coffee.

The performance is actually better than Cloud9 once you get it working. Your local VS Code loads instantly, extensions work properly, and you're not fighting browser limitations. But now you're managing server lifecycles, security patches, and backup strategies. Hope you like being on call.

GitHub Codespaces: Expensive but Actually Works

GitHub Codespaces Interface

GitHub Codespaces is what Cloud9 should have become. VS Code in the browser, container-based environments, and it actually fucking works. The downside? $0.18/hour for a 4-core machine adds up fast.

Set up a dev environment in 2 minutes with a `.devcontainer` config. Your team gets identical environments, no "works on my machine" bullshit, and debugging actually works. The AWS integration isn't as smooth as Cloud9, but you can install the AWS CLI and configure credentials through environment variables. See the development container documentation, CodeSandbox migration guides, and GitHub's own migration tips for specific setup examples.

Gitpod Logo

Gitpod is the open-source alternative that's cheaper but flakier. It works great when it works, but expect random environment startup failures and the occasional "workspace not found" error that makes you question your life choices. Some teams have found CodeAnywhere as another viable alternative, though with its own quirks.

What Your Migration Will Actually Look Like

Here's the real talk: plan for at least a month of reduced productivity. Week 1 is fighting with credentials and extension configurations. Week 2 is debugging why your Docker builds work locally but fail in the new environment. Week 3 is getting your team's development workflows working again. Week 4 is fixing the weird edge cases nobody anticipated.

If you're doing mostly AWS Lambda development, bite the bullet and go with VS Code + AWS Toolkit. The initial setup pain is worth it for the better debugging experience. If your team needs browser-based development and has budget, GitHub Codespaces is the path of least resistance.

Serverless Lambda Architecture

For simple deployment and admin tasks, CloudShell is perfectly fine. Don't overthink it - most "development" in Cloud9 was just running AWS CLI commands anyway.

Questions You're Actually Asking (And Honest Answers)

Q

Wait, is AWS really killing Cloud9?

A

Not completely, but they're basically putting it on life support. As of July 25, 2024, no new accounts can access Cloud 9. If you're already using it, you can keep using it, but AWS won't add new features. Ever. They're done with it.

Q

When will they pull the plug completely?

A

Nobody knows, and AWS isn't saying. They're doing the classic tech company slow death

  • "maintenance mode" until they decide it's not worth keeping the servers running. Could be 2 years, could be 5. Don't count on it being around forever.
Q

Are they going to delete my environments?

A

Nope, but you're still paying for the EC2 instances underneath.

Those t2.micro instances are $9.50/month each whether you're using them or not. If you've forgotten about old Cloud9 environments, check your AWS bill

  • you might be paying for zombie development boxes.
Q

What about my code? Will it disappear?

A

Your code is fine

  • it's just sitting on EC2 instances with EBS storage.

You can SSH into your Cloud9 environments and copy everything out, or use git if you've been smart about version control. Pro tip: if you haven't been using Git, start now and push everything to GitHub before migrating.

If you need to grab files quickly: scp -i your-key.pem ec2-user@your-instance-ip:~/environment/* ./local-backup/

Q

Can existing customers still use Cloud9?

A

Yeah, everything works exactly the same if you already have access. You can create new environments, collaborate with your team, and use all the AWS integrations. New people joining your AWS account can access Cloud9 too, as long as they have the right IAM permissions.

Q

What's the best alternative for someone new to AWS?

A

Depends what you're trying to do. If you're learning AWS Lambda and serverless stuff, get VS Code and install the AWS Toolkit extension. It'll be painful to set up at first, but you'll learn how AWS credentials actually work instead of relying on Cloud9's magic.For general web development, GitHub Codespaces is the easiest Cloud9 replacement. Costs money after the free tier, but it actually works and performs better than Cloud9 ever did.

Q

How do I replace Cloud9's real-time collaboration?

A

You don't, really. Cloud9's real-time pair programming was unique and nothing fully replaces it. Your options:

  • VS Code Live Share: Works locally, laggy over internet connections
  • GitHub Codespaces: Has live sharing, but costs $$$
  • Gitpod: Decent collaboration, but you'll spend more time debugging the platform than your code

Most teams just go back to screen sharing and Git. It sucks, but that's reality.

Q

How much is this migration going to cost me?

A

Cloud

Shell is free, but it's basically just a terminal.

VS Code + AWS Toolkit is free software, but you'll pay for any AWS resources you spin up for development.GitHub Codespaces starts at $0.18/hour for 4-cores. Leave it running for a month and you're looking at $130. Gitpod is similar pricing.The hidden cost is your time. Budget 2-4 weeks of reduced productivity while everyone learns new tools and workflows.

Q

I'm teaching a course with Cloud9. What now?

A

If you already have AWS Educate accounts, keep using Cloud9 until AWS forces you off. For new courses, Git

Hub Codespaces is probably your best bet

  • students can access it from any device, and the free tier covers most educational use cases.CloudShell works for teaching AWS CLI and basic shell scripting, but don't try to teach Python development in a browser terminal. Your students will hate you.
Q

How do I backup everything before migrating?

A

First, check what you actually need to backup:

## SSH into your Cloud9 environment
ssh -i your-key.pem ec2-user@your-instance-ip

## See what's actually in your environment
du -sh ~/environment/*

If you've been using Git properly, just clone your repos elsewhere. If not, start crying and then:

## Copy everything to local machine
scp -r -i your-key.pem ec2-user@your-instance-ip:~/environment ./cloud9-backup

Document any custom packages you installed because you'll need to reinstall them in your new environment.

Q

Will AWS help with migration?

A

Ha! No. They published a blog post with generic advice and called it a day. If you're paying for premium support, they might answer questions, but don't expect step-by-step migration assistance.

Q

What about my Lambda integrations?

A

Most stuff will work with the VS Code AWS Toolkit, but not exactly the same way. Your SAM templates and CloudFormation work fine, but you'll lose the one-click debugging. Now you'll run sam local start-api in a terminal and attach VS Code's debugger manually. It's more steps but ultimately more powerful once you figure it out.Expect to spend a few hours reconfiguring your deployment scripts to work outside of Cloud9's pre-configured environment.

AWS Cloud9 Alternatives Comparison

Feature

AWS Cloud9 (Legacy)

AWS IDE Toolkits

AWS CloudShell

GitHub Codespaces

Gitpod

VS Code + Remote

Availability

Dead to new users

Available to all

Available to all

Public access

Public access

DIY setup required

Real Cost

$9.50/month (t2.micro)

Free + AWS charges

Actually free

$130/month if you forget to stop it

$39/month for regular use

$20-50/month EC2 + your sanity

Browser Access

✅ Works but slow

❌ Local installation hell

✅ Terminal only (good luck)

✅ Actually good

✅ Works when it works

❌ VS Code desktop required

AWS Integration

✅ Just worked

✅ Works after 2hrs setup

✅ CLI only

❌ You'll configure everything manually

❌ Good luck with that

✅ Same as IDE Toolkits

Real-time Collaboration

✅ Actually worked perfectly

❌ Back to Slack screen sharing

❌ Not supported

✅ Costs extra, works well

✅ When environments don't crash

✅ Laggy but functional

Programming Languages

40+ (basic support)

Whatever your IDE supports

bash, python, node (that's it)

All VS Code extensions

Most things work

All VS Code extensions

Debugging

✅ One-click Lambda debugging

✅ Better debugging (once configured)

console.log like it's 2010

✅ Full debugging support

✅ Full debugging

✅ Full debugging

Environment Setup

⚠️ Limited but consistent

💀 Your problem now

❌ Fixed 1GB environment

✅ Dockerfile magic

✅ Container-based

💀 You're the DevOps person

When It Breaks

Restart environment

Restart VS Code 3x daily

Refresh browser

Actually works

Random "workspace not found"

SSH into server, fix manually

Performance

⚠️ Adequate for small projects

✅ Local machine speed

✅ Fast for CLI tasks

✅ Surprisingly fast

✅ Fast when working

✅ Depends on your EC2 instance

Storage

10GB EBS (expandable)

Your local disk

1GB (laughably small)

32GB per environment

Varies by plan

Whatever you provision

Authentication

✅ IAM just worked

💀 CredentialsProviderError hell

✅ Pre-authenticated

✅ GitHub OAuth

✅ Git platform auth

💀 SSH keys + AWS creds

Lambda Development

✅ Deploy button worked

✅ SAM CLI (manually)

⚠️ CLI deployment only

❌ Configure everything yourself

❌ Configure everything yourself

✅ SAM CLI + toolkit

Learning Curve

✅ Zero for AWS newbies

⚠️ Steep if you want it working

✅ If you know bash

⚠️ Easy for GitHub users

⚠️ Easy for Git users

💀 You need to know everything

Migration Resources and Documentation

Related Tools & Recommendations

alternatives
Similar content

We Got Burned by GitHub Codespaces (Here's What Actually Works)

When your AWS bill goes from "reasonable" to "holy shit" overnight because someone left 5 Codespaces running all weekend.

GitHub Codespaces
/alternatives/github-codespaces/decision-guide
100%
tool
Similar content

AWS CodeCommit - Git Hosting That AWS Quietly Killed

The one AWS Git service that actually worked well with IAM (now dead for new users as of July 25, 2024)

AWS CodeCommit
/tool/aws-codecommit/overview
72%
tool
Recommended

GitHub Codespaces - When Shit Goes Wrong (And How to Fix It)

competes with GitHub Codespaces

GitHub Codespaces
/tool/github-codespaces/troubleshooting-gotchas
49%
tool
Recommended

GitHub Codespaces - Cloud Dev Environments That Actually Work

competes with GitHub Codespaces

GitHub Codespaces
/tool/github-codespaces/overview
49%
tool
Recommended

Ona (formerly Gitpod) - Linux Development Environments in the Cloud

No more "works on my machine" - just spin up a dev environment and start coding

Ona (formerly Gitpod)
/tool/gitpod/overview
49%
tool
Recommended

Replit Agent 3... 밤새 코딩하는 AI 놈

competes with Replit Agent

Replit Agent
/ko:tool/replit-agent/overview
44%
news
Recommended

Replit Gets $250M Because VCs Think AI Will Replace Developers

VCs Pour Money Into Another AI Coding Tool, Valuation Hits $3B

Redis
/news/2025-09-10/replit-funding
44%
alternatives
Recommended

Replit's New Pricing Will Bankrupt Your Side Project

AI Coding Tools That Won't Randomly Charge You $200

Replit Agent
/alternatives/replit-agent/migration-focused-alternatives
44%
tool
Recommended

VS Code Settings Are Probably Fucked - Here's How to Fix Them

Your team's VS Code setup is chaos. Same codebase, 12 different formatting styles. Time to unfuck it.

Visual Studio Code
/tool/visual-studio-code/configuration-management-enterprise
44%
tool
Recommended

VS Code Extension Development - The Developer's Reality Check

Building extensions that don't suck: what they don't tell you in the tutorials

Visual Studio Code
/tool/visual-studio-code/extension-development-reality-check
44%
compare
Recommended

I've Deployed These Damn Editors to 300+ Developers. Here's What Actually Happens.

Zed vs VS Code vs Cursor: Why Your Next Editor Rollout Will Be a Disaster

Zed
/compare/zed/visual-studio-code/cursor/enterprise-deployment-showdown
44%
tool
Popular choice

jQuery - The Library That Won't Die

Explore jQuery's enduring legacy, its impact on web development, and the key changes in jQuery 4.0. Understand its relevance for new projects in 2025.

jQuery
/tool/jquery/overview
44%
tool
Popular choice

Hoppscotch - Open Source API Development Ecosystem

Fast API testing that won't crash every 20 minutes or eat half your RAM sending a GET request.

Hoppscotch
/tool/hoppscotch/overview
42%
tool
Popular choice

Stop Jira from Sucking: Performance Troubleshooting That Works

Frustrated with slow Jira Software? Learn step-by-step performance troubleshooting techniques to identify and fix common issues, optimize your instance, and boo

Jira Software
/tool/jira-software/performance-troubleshooting
40%
tool
Recommended

AWS CodePipeline - Deploy Mobile Apps Without Jenkins Eating Your Laptop

CI/CD that actually works on mobile builds fr fr

AWS CodePipeline
/brainrot:tool/aws-codepipeline/overview
40%
integration
Recommended

Lambda + DynamoDB Integration - What Actually Works in Production

The good, the bad, and the shit AWS doesn't tell you about serverless data processing

AWS Lambda
/integration/aws-lambda-dynamodb/serverless-architecture-guide
40%
alternatives
Recommended

Lambda Alternatives That Won't Bankrupt You

integrates with AWS Lambda

AWS Lambda
/alternatives/aws-lambda/cost-performance-breakdown
40%
alternatives
Recommended

AWS Lambda Alternatives: What Actually Works When Lambda Fucks You

Migration advice from someone who's cleaned up 12 Lambda disasters

AWS Lambda
/alternatives/aws-lambda/enterprise-migration-framework
40%
tool
Popular choice

Northflank - Deploy Stuff Without Kubernetes Nightmares

Discover Northflank, the deployment platform designed to simplify app hosting and development. Learn how it streamlines deployments, avoids Kubernetes complexit

Northflank
/tool/northflank/overview
38%
tool
Popular choice

LM Studio MCP Integration - Connect Your Local AI to Real Tools

Turn your offline model into an actual assistant that can do shit

LM Studio
/tool/lm-studio/mcp-integration
36%

Recommendations combine user behavior, content similarity, research intelligence, and SEO optimization