Building ADK Agents for Amazon ECS Cluster

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

I have been posting non-stop from Google Cloud Next- but also made the latest AWS community builders list!! My article covered a multi-agent pipeline with an image generation model- all deployed to AWS ECS Express. ECS express gives you a lot of the benefits of Kubernates but without the management complexity. Article is here: https://lnkd.in/er9ZFcSw #MCP #Python #GoogleCloud #AWScommunity #AWS #AWSCommunityBuilders

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

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

Quick lesson from my cloud project this week. I ran into a frustrating deployment issue this week that turned into a valuable lesson in environment organization. I had two container registries, pushed my image to one, and configured my App Service to pull from another, which led to confusing errors and wasted time debugging the wrong thing. It was a good reminder that in cloud environments, everything behaves exactly as configured, not as intended. Another key takeaway: naming conventions matter more than I initially thought. Similar resource names can quickly create confusion, especially as projects grow. Mapping things out clearly from the start saves time and avoids unnecessary mistakes. Still learning, but definitely getting better at spotting and fixing these issues early. #Azure #CloudEngineering #DevOps #Python

Most transcription APIs fall apart during a 60-minute enterprise audit. They lose context, hallucinate timestamps, or simply time out. We recently tackled this for a client who needed 100% accurate, word-level timestamps for multi-hour compliance calls. We engineered a custom pipeline using Google Cloud’s Chirp-3. By automating the chunking and merging logic through Python scripts, we bypassed the standard 20-minute constraints. Now, they get searchable, perfectly synced transcripts for audits that used to take days to review manually. #GoogleCloud #Transcription #MultimodalAI #ViMaxTech #SoftwareEngineering #chirp

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

Next article in my cross cloud Agent series - this installment covers building a MCP server and then deploying the complete solution to an Amazon EKS Cluster. A whole cluster just for some MCP? Probably overkill- but I wanted to start with the most basic approach before tackling more complex scenarios with multiple agents, gateways, and proxies. 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/ewHq7RC3 dev.to is here: https://lnkd.in/eTJVP3ME #GDE #MCP #Python #GooogleCloud #AWScommunity #AWS #AWSCommunityBuilders

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

🚀 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