Deploying Multi-Agent Pipeline on AWS ECS Express

Next article in my cross cloud Agent series - this installment covers building ADK agents and then deploying the complete solution to an Amazon ECS cluster running ECS Express. A whole cluster just for an Agent? Probably overkill- but I wanted to start with the most basic approach before tackling more complex scenarios with multiple agents, gateways, and proxies. The code base is virtually unchanged across clouds and is a building block to validate the approach. The Cross Cloud Series is here: https://lnkd.in/eHYsbUhH The Medium Article is here: https://lnkd.in/ebjqBYfu dev.to is here: https://lnkd.in/er9ZFcSw #GDE #MCP #Python #GooogleCloud #AWScommunity #AWS #AWSCommunityBuilders

Next article in my cross cloud Agent series - this installment covers building ADK agents and then deploying the complete solution to an Amazon cluster running AKS. A whole cluster just for one Agent? Probably overkill- but I wanted to start with the most basic approach before tackling more complex scenarios with multiple pods, agents, gateways, and proxies. The code base is virtually unchanged across clouds and is a building block to validate the approach. The Cross Cloud Series is here: https://lnkd.in/eHYsbUhH The Medium Article is here: https://lnkd.in/evpaZ8HY dev.to is here: https://lnkd.in/eJ_icFWJ #GDE #MCP #Python #GooogleCloud #AWScommunity #AWS #AWSCommunityBuilders

Next article in my cross cloud Agent series - this installment covers building a Python MCP environment and then deploying the MCP Server to an Amazon ECS Express endpoint. ECS Express is a serverless container running system on AWS that offers simplified deployment options but still allows full customization where needed. The entire solution was validated with Gemini CLI running as a MCP client. The code base is virtually unchanged across clouds and is a building block to validate the approach. The Cross Cloud Series is here: https://lnkd.in/eHYsbUhH The Medium Article is here: https://lnkd.in/eDHE4-2T dev.to is here: https://lnkd.in/eYZDmf77 #GDE #MCP #Python #GooogleCloud #AWScommunity #AWS #AWSCommunityBuilders

🚀 I have shared a new blog! In this, I’ve explained how a FastAPI application can be containerized with Docker and deployed on AWS EC2 in a simple, practical way. 💡 One key takeaway: Getting an application to run consistently across environments is where real learning happens. This project helped me understand how real-world systems are built, deployed, and maintained beyond just writing code. I’d love to hear your thoughts 👇 👉 What would you improve or do differently in this setup? 🔗 Blog link in comments #AWS #Docker #FastAPI #Python #Cloud #Tech#Blog

Next article in my cross cloud Agent series - this installment covers building A multi-modal Agent with the Gemini Live Model with an embdded ADK agent and then deploying the complete solution to an Amazon cluster running ECS Express. There is a lot going on in this one - but I was able to test different pieces of technology together to get the whole solution working. Probably overkill- but I wanted to start with the most basic approach before tackling more complex scenarios with multiple agents, gateways, and proxies. The code base is virtually unchanged across clouds and is a building block to validate the approach. The Cross Cloud Series is here: https://lnkd.in/eHYsbUhH The Medium Article is here: https://lnkd.in/eSux9bW2 dev.to is here: https://lnkd.in/ecHK-Zwk #GDE #MCP #Python #GoogleCloud #AWScommunity #AWS #AWSCommunityBuilders

One of my Cross Cloud Agent articles made the AWS Community Builder of the Week Highlights!!! The demo/tutorial is a step by step guide on deploying a Python MCP server on ECS Express. It was a great building block to help with some of my recent articles on more complex agent deployments. I also have it on my list to take some of my cross language MCP servers like Rust, Go, Zig, etc and port them to the AWS container runtimes. The spotlight summary is here: https://lnkd.in/eabvkKgc Full article is here: https://lnkd.in/eDHE4-2T #MCP #Python #GoogleCloud #AWScommunity #AWS #AWSCommunityBuilders

Alhamdulillah, my first AWS project is now live. I built a fully serverless form application from scratch, utilizing the following components: - S3 to host the frontend - API Gateway to handle requests - Lambda (Python) to process form data - DynamoDB to store every submission This setup means no servers and no maintenance, just the cloud. Honestly, I felt stuck on tutorials for weeks, thinking I wasn't making progress. However, building this project helped clarify many concepts that hours of watching videos couldn't. The most time-consuming part? Getting CORS configured correctly between API Gateway and Lambda. It may seem straightforward on paper, but it can be quite frustrating in practice. You can find the full project along with the architecture diagram on GitHub → https://lnkd.in/d43yGeny #AWS #DevOps #CloudComputing #Serverless #LearningInPublic

🚀 Just built my first Serverless API on AWS! As part of my cloud learning journey, I successfully built and deployed a REST API using AWS Lambda and API Gateway — completely serverless and zero cost! Here is what I built: GET /hello → returns a welcome message POST /greet → accepts a name and returns a personalized greeting Here is what I learned: ✅ What Serverless means and why it matters ✅ How AWS Lambda works (event driven, pay per millisecond) ✅ How to write a Lambda function in Python ✅ How to create and configure HTTP API Gateway ✅ How to create and attach routes to Lambda ✅ How to debug using AWS CloudWatch logs ✅ How to test APIs using browser and Postman The most interesting thing I learned is that serverless does not mean no servers. It means YOU do not manage servers. AWS handles everything — scaling, patching, availability — and you only pay for the milliseconds your code actually runs. First 1 million requests every month are FREE on AWS Lambda! 🎉 This is just the beginning. Next I am going to connect Lambda to DynamoDB to store real data and build a complete CRUD API. If you are learning cloud, start with Lambda. It is simple, powerful and almost free to learn. #AWS #Serverless #Lambda #APIGateway #CloudComputing #Python #LearningInPublic #Cloud #BackendDevelopment

Margot Huet just shared a deep dive on Medium about scaling AI! Learn how to move from a local Python notebook to a production-ready, serverless application using GCP and the Gemini API. Perfect for anyone looking to take their scripts into the cloud. Read the full article here: https://lnkd.in/d5wcf5jd #GCP #Serverless #Python #NORMA

When was the last time you actually wrote a CDK construct from scratch? It had been a while for me, and I had the thought: Would something like AWS Cloud Development Kit get built in 2026? The CDK let developers stay in JavaScript or Python and synth CloudFormation. But in 2026, who's actually writing the code? LLMs are writing more of it every week, and LLMs are very good at DSLs because DSLs are static, limited (in a good way), and easy to validate. The abstraction CDK offered was justified by human typing cost, and I don't think it exists any more (or is greatly reduced). I'm a CloudFormation fanboy from way back, so take this with whatever salt you need... but if you're starting fresh on AWS this year, are you reaching for CDK? And if so, why? #AWS #CDK #InfrastructureAsCode #AIEngineering