What is our primary use case?
My main use case for AWS Cloud9 is cloud-based development and testing, specifically for quickly setting up environments and working with AWS services. I primarily use AWS Cloud9 as an online IDE to run, develop, and debug applications directly in the browser without needing a local setup.
I use AWS Cloud9 to quickly develop and test a backend script, then deploy it to AWS services like Lambda. For example, I use AWS Cloud9 to write a Python script that processes file uploads to Amazon S3. I code and test everything directly in AWS Cloud9 using its built-in terminal. Once it is working, I deploy the logic to AWS Lambda for automated executions. This workflow helps me avoid local setup, speed up testing, and ensures everything integrates smoothly within the AWS ecosystem.
Apart from this, I use AWS Cloud9 for quick debugging, environment consistency, and seamless AWS integration. Beyond development, I use this for debugging issues in a live-like environment, which helps avoid problems like working on my machine and ensures consistency since the environment is pre-configured and runs on AWS infrastructure. I also leverage it for learning and experimenting with services like Amazon EC2 and AWS Lambda as everything is essentially accessible from one place.
What is most valuable?
The best features of AWS Cloud9 are its browser-based IDE, built-in debugger and terminal, real-time collaborations, and seamless AWS integration, which make development faster and easier. When it comes to the browser-based IDE, there is no setup required; I can run, write, and debug the code directly from the browser without needing to install any configuration. It supports languages like Python, JavaScript, and Java, including code completions, syntax highlighting, and hints that help me write code faster with very few errors. The built-in integrated debuggers help in inspecting the codes and variables.
Additional features I wish to mention include auto environment management, SSH access, and built-in AWS CLI or SDK support, which make development smoother and more production-like. Beyond basic IDE features, AWS Cloud9 stands out for cost control, secure access, and ready-to-use AWS tooling, making it very practical for real-world cloud workflows.
AWS Cloud9 has positively impacted my organization by facilitating team collaboration that leads to quicker delivery of features. Using AWS Cloud9, we have seen a positive impact on our workflows, such as faster onboarding and setup. New developers can start coding immediately without configuring a local environment, reducing the setup time from hours to minutes. It has also improved development speed, as everything is integrated in one place, such as the editor, terminal, and AWS tools. We spend less time switching tools and more time building features. Real-time collaboration helps during debugging sessions and pair programming, reducing issue resolution times. The seamless integration with AWS Lambda and S3 bucket allows faster testing and deployment of cloud-based features. In one use case, a feature that earlier took two to three days, including setup and debugging, is now completed within one day, mainly due to faster environment setup and smoother testing.
What needs improvement?
AWS Cloud9 is powerful, but it can be improved in terms of performance, modern IDE features, limited updates, and dependency on AWS infrastructure, which sometimes slows productivity. Since it runs in the browser and depends on Amazon EC2 instances, performance can lag compared to local IDEs, especially for larger projects or lower specs instances. It also has limited modern IDE features compared to tools like Visual Studio Code, lacking a rich extension ecosystem, advanced UI customizations, and some modern developer productivity features. Improvements can include better performance optimization, a plugin ecosystem, faster startup times, and more frequent feature updates, as well as an improved collaboration experience. AWS Cloud9 is great for AWS native development but still lags behind modern IDEs in performance, flexibility, and the pace of innovation.
In terms of improvements, richer extension ecosystems, faster startup, better performance for large projects, and triggering CI/CD pipeline integration would make the workflow much smoother. A stronger extension and customization capability would significantly enhance day-to-day work with AWS Cloud9. Offline or hybrid mode, including limited offline capabilities or local sync, would reduce the dependency on consistent internet connectivity. Better debugging and monitoring integration, with deeper integration into logging and monitoring tools like Amazon CloudWatch, would simplify troubleshooting without switching context. If AWS Cloud9 evolves with better performance, extensibility, and deeper DevOps integrations, it would become a much more complete modern development platform.
For how long have I used the solution?
I have been using AWS Cloud9 for the last two years.
What do I think about the stability of the solution?
AWS Cloud9 is stable in my organization and my setup.
What do I think about the scalability of the solution?
AWS Cloud9 is moderately scalable; you can scale easily using AWS resources, but it is not designed for large enterprise-scale IDE management. There are limitations in scalability; it is not ideal for larger enterprises. Managing many environments manually can be complex and lacks centralized governance compared to enterprise developers.
How are customer service and support?
Customer support is reliable, as it is integrated with AWS, so AWS customer support is dependable.
How was the initial setup?
Environment setup is reduced by fifty percent, the development cycle is faster by twenty to thirty percent, and debugging time is reduced by twenty-five percent. Overall, this translates to a thirty to thirty-five percent improvement in development productivity for certain tasks. Onboarding and other processes become much easier, resulting in faster delivery due to time saved and reduced friction without cutting costs directly.
What was our ROI?
In terms of ROI, we mainly see a thirty to fifty percent time saving, faster onboarding, and reduced operational overhead rather than reducing headcount. A backend feature that used to take three days, including setup, development, and debugging, is now reduced to one and a half or two days total due to faster delivery timelines and reducing developer friction for more consistent and reliable deployments.
What's my experience with pricing, setup cost, and licensing?
Earlier, setting up a local environment took two to four hours per developer. With AWS Cloud9, it drops to fifteen to thirty minutes, even less. Since everything including the editor, terminal, and AWS access is in one place, the development cycle is also reduced by twenty to thirty percent.
Which other solutions did I evaluate?
I evaluated VS Code, GitHub Codespaces, and IntelliJ before choosing AWS Cloud9.
What other advice do I have?
My advice would be to start with a small project, optimize costs, auto-stop features, and use it mainly for AWS native development to get the best value. I suggest not relying on very large projects for heavy code, as advanced IDE tools like Visual Studio Code might be more efficient. Leveraging the built-in AWS tools and taking advantage of pre-configured AWS CLI integration is one of AWS Cloud9's biggest strengths. Since it is browser-based, a good internet connection is essential for smooth performance. Use AWS Cloud9 where it shines—quick setup, AWS integrations, and lightweight development—but do not expect it to fully replace a modern feature-rich IDE in all scenarios.
Overall, AWS Cloud9 is a solid choice for working within the Amazon Web Services ecosystem. Its biggest strengths are zero setup, seamless AWS integration, scalability, and accessibility from anywhere, making development faster and more consistent. At the same time, there is room for improvement in areas including performance, extensions, and the pace of innovation, especially compared to modern IDEs. While it may not be the most advanced IDE available, for AWS native workflows, it is a reliable, convenient tool that delivers real productivity benefits. I would rate this product as a seven out of ten.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)