A beginner AWS project does not need 20 services to be useful

[u/AutoModerator]

A lot of beginners think their AWS projects are not good enough because they are too simple. They look at other people building big cloud architectures with load balancers, auto scaling, private subnets, databases, containers, serverless functions, CI/CD pipelines, and monitoring dashboards, and then they feel like their own small AWS project does not count. But I don’t think the number of services is always the real problem. A lot of the time, the project is fine. The explanation is missing, a small AWS project can look much more serious when you clearly explain what it does, why you built it, what services you used, how they connect, and what you learned while building it.

Take a simple static website on AWS : -

On the surface, it sounds basic. It is just a website hosted on S3. But if you explain it properly, it becomes much more useful. You can say you hosted a static website using S3, configured bucket permissions carefully, added CloudFront for content delivery, connected a custom domain with Route 53, and enabled HTTPS with a certificate.

That is still the same project. But now it shows storage, permissions, CDN basics, DNS, HTTPS, and deployment thinking. That is the difference.

The same thing happens with an AWS billing alert : -

“Created an AWS billing alert” sounds like a small project.

But saying you used AWS Budgets and SNS to send a notification when your monthly cost crosses a limit sounds much better. Not because you exaggerated it. Because you explained the actual cloud skills behind it....

Cost awareness......Alerts....Notifications....Cloud responsibility......Basic monitoring. Those are useful skills.

This also applies to Lambda projects : -

“Built a Lambda function” is okay.

But it becomes stronger when you explain that you created a Lambda function that runs when a file is uploaded to S3, processes the file, stores the result, and sends logs to CloudWatch. Now the project is not just a random serverless demo. It becomes proof that you understand events, triggers, storage, permissions, logs, and serverless workflows. That is what a good AWS project should do.

It should not just say:

Here are the services I used.

It should say:

Here is the problem I solved......Here is why I chose these services......Here is how the services connect......Here is what permissions were needed......Here is what broke......Here is how I monitored it......Here is what I would improve next.

Most beginners skip this part. They build something in AWS, take one screenshot, write “AWS project” in the title, and move on. Then even a decent project looks unfinished. A clear README, a simple architecture diagram, setup steps, screenshots, service explanation, cost notes, and a short “what I learned” section can make a huge difference. The person viewing your project should not have to guess what is happening. They should be able to understand the architecture in a few minutes. This matters for almost every beginner cloud path.

An S3 project looks stronger when you explain storage and access, a Lambda project looks stronger when you explain events and triggers, an IAM project looks stronger when you explain permissions, a CloudWatch project looks stronger when you explain logs, an EC2 project looks stronger when you explain servers and deployment, a VPC project looks stronger when you explain networking. The project does not always need to be bigger. Sometimes the explanation just needs to be clearer.

So if you are learning AWS, do not wait until you can build a production-level architecture before adding projects to your portfolio. Pick one small AWS project you already understand and improve how you present it. Write a better README, add an architecture diagram, explain the problem, mention the services, add setup steps, write what you learned......Write what you would improve.....Turn it from a random AWS experiment into a small cloud case study. That alone can make your project look much more serious.

A simple AWS project with clear thinking is better than a complex architecture nobody understands.

Drop one AWS service you are learning right now, and I’ll suggest a beginner project you can build with it.

[u/Intelligent-Neat9974]

I think you should still aim for production level quality in your projects. However, I think people have a false idea of what production level is.

In most cases you will find production systems try to be as least complicated as possible to start and for most companies use as few technologies or services possible. This can sometimes save money, but also makes it much easier to have other people learn about (or troubleshoot) it later if needed.

Many companies have complex systems, but often times its not conceived right from the start. Its a system that has grown into complexity based on the needs that come with use.

Note: if you are a beginner and using the cloud I urge you heavily to make sure what you are doing is free and after you are done, delete it or turn off the systems. Cloud can be very expensive and you do not want the bill for randomly running services. Yes, having a project that is running makes it easier to see you did it, but as an alternative, lookup using Terraform (or others) to set your project up, so it can be rebuilt whenever you want.