Become a Cloud Support Engineer with these 5 AWS Projects!

In Today’s Cloudbites:

☁️ Become a Cloud Support Engineer with these 5 AWS Projects!

👩‍💻 A Complete Guide On Building the 5 Projects

☁️ Online Cloud Events to Look Forward to

📰 PLUS: Google Launches Gemini 2.5 - AI That Browses Like Humans

Read time: 4 minutes

Hi friends, welcome back to Cloudbites

In this newsletter, I’ll show you 5 AWS projects to build real-world Cloud Support Engineer skills.

I’ll also share an interesting AI update from Google.

CLOUD COMPUTING ☁️

☁️ Become a Cloud Support Engineer with these 5 AWS Projects!

Want to build real-world projects to help you get hired as a Cloud Support Engineer?

Here are 5 AWS projects designed to give you practical troubleshooting experience:

#1 Containerized LMS Migration & Troubleshooting with ECS and CloudWatch

This project uses Amazon ECS, Application Load Balancer, and CloudWatch.

You’ll take on the role of a cloud support engineer and migrate a Learning Management System (LMS) to containers.

If you’re aiming to become a Cloud Support Engineer, this project will give you hands-on experience with real-world container troubleshooting.

🕒 Est time: 1-1.5 hours

💰 Est cost: <$5

#2 Build a CI/CD Pipeline for GlobalMart E-Commerce Platform

This project uses AWS CodePipeline, CodeDeploy, EC2, and CloudWatch.

Fix a broken CI/CD pipeline for an e-commerce platform.

You’ll troubleshoot deployment issues and get hands-on experience solving real-world pipeline problems.

🕒 Est time: 1.5-2 hours

💰 Est cost: Free (AWS Free Tier)

#3 Proactive Monitoring & Security Auto-Remediation for EC2

Build a system that continuously monitors EC2 instances for performance and security issues.

It will automatically handle high CPU, memory spikes, or suspicious activity using CloudWatch and Lambda.

🕒 Est time: 1.5-2 hours

💰 Est cost: Free (AWS Free Tier)

#4 Debug a Broken Serverless Contact Form Workflow

Fix a broken serverless contact form using Lambda, API Gateway, DynamoDB, and SNS.

You’ll track down the issues, correct the misconfigurations, and get the form working properly again.

🕒 Est time: 1-1.5 hours

💰 Est cost: Free (AWS Free Tier)

#5 Repair Shop Application Deployment on AWS

Deploy a full-stack repair shop app with Elastic Beanstalk, RDS, Amplify, and CloudFront.

You’ll fix backend and frontend issues, resolve CORS errors, and make sure content is delivered securely.

🕒 Est time: 1-1.5 hours

💰 Est cost: <$5

YouTube video walkthrough coming soon!

👩‍💻 A Complete Guide On Building the 5 Projects

Like the sound of these 5 projects but not sure where to start?

I have a guidebook with step-by-step tutorials you can follow along for each project.

If you’re interested in purchasing the guidebook, you can apply the coupon code “YOUTUBE10” for 10% off.

☁️ Online Cloud Events to Look Forward to

#1 AWS Innovate: Migrate and Modernize [Oct 23]

Free, virtual conference with 30+ sessions, demos, and expert Q&A, focused on accelerating cloud journeys through migration and modernization strategies.

Click here to register.

#2 Accelerate Your GenAI Journey on AWS with NVIDIA Technologies [Oct 16]

Online webinars for startups on building, deploying, and scaling Generative AI workloads with AWS + NVIDIA.

Click here to register.

#3 Anaplan & AWS Virtual Event: AI in Supply Chain [Oct 29]

Virtual fireside chat exploring AI’s impact on supply chain management.

Click here to register.

ARTIFICIAL INTELLIGENCE (AI) 🤖

📰 PLUS: Google Launches Gemini 2.5 - AI That Browses Like Humans

Google has introduced the Gemini 2.5 "Computer Use" model, enabling AI agents to interact with web browsers in a human-like manner.

💡 Here's what you should know:

• Human-like Interaction: The model can perform tasks such as searching for information or buying things without human supervision.

• Advanced Visual Understanding: It understands and interacts with web interfaces, enabling seamless automation of tasks.

• Developer Access: Available via Google AI Studio and Vertex AI for developers to build and deploy applications.

This advancement marks a significant step in AI's ability to automate complex tasks in real-world environments.

THAT’S A WRAP

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Thanks for reading! 😊

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