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
Deploying MCP Server to Amazon EKS Cluster
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Nothing like hot off the press content- I haven't even submitted this one to any publication yet. Google Cloud Next has been pretty much MCP-everything and I just happen to have a fresh MCP article. This one covers using the new MCP interface to the Cloud Run Service to enable deployment and other operations directly from Gemini CLI. Agent Skills and the ADK MCP server are also configured to work with the solution. Medium Article is here: https://lnkd.in/eAFrA_YV Dev.to is here: https://lnkd.in/eN5QHvDj My ADK series is here: https://lnkd.in/e7DaP8A8 #GDE #ADK #A2A #Python #CloudRun #GeminiCLI #GoogleCloud
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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 EKS - Elastic Kubernates Service. EKS is one of fifty different ways to run Containers on AWS (well maybe not 50 but at least 6-7). See what I did there? Skewing for a younger demographic! ECS2 / ECS / Lightsail / Fargate /etc all have different trade-offs. It is nice to have options. For EKS- this is the closest container service to stock Kubernates- you give up some of the AWS optimizations for a consistent experience cross-cloud. 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/e6CPDvF9 dev.to is here: https://lnkd.in/eUPEiAHz #GDE #MCP #Python #GoogleCloud #AWScommunity #AWS #AWSCommunityBuilders
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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
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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
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🚀 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
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I recently wrote a small article on reducing cold starts in AWS Lambda. Link: https://lnkd.in/g3S4_dSm #aws #serverless #lambda #cloudcomputing #devops #cloud #sre
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The late night bug We had a production issue at 11pm. API was slow. Users were complaining. Everyone was panicking. Spent 2 hours checking everything — logs, services, Azure, code. Turned out? A single query with no index. Running a full table scan on 2 million rows. Every. Single. Request. One index. Fixed in 3 minutes. Deploy done by midnight. That night taught me more about SQL than any course ever did. Now the first thing I check when an API slows down isn't the code — it's the query plan. What's the bug that changed how you think? 👇 #DotNetDeveloper #ASPNETCore #FullStack #Azure #CSharp
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I just finished "Learning Amazon Web Services Lambda" and it’s a masterclass in the serverless mindset. Beyond just "running code without servers," here are my 3 biggest takeaways for building modern cloud apps: 1️⃣ Events are everything: Lambda isn't just a function; it's the glue that connects S3, DynamoDB, and API Gateway into a reactive ecosystem. 2️⃣ Cold Starts aren't the enemy: If you understand how to optimize your runtime and memory allocation, you can achieve near-instant performance. 3️⃣ Security is shared: Using IAM roles to give your functions "Least Privilege" is the only way to build safely in the cloud. #AWS #Lambda #Serverless #CloudComputing #AWSSAM #Learning #php #fullstack #laravel #devOps #software #backend #open #look #linkedin #developer #engineering Finished the course “Learning Amazon Web Services Lambda” Check it out: https://lnkd.in/d5CzJjx2 #awslambda.
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Earlier this week, I built a Secrets Scanner tool with Python paired with Slack alerting to detect credential leaks early in cloud environments (link to repo in comments). Beyond tools, however, there are patterns to avoid and best practices to adopt when managing secrets. Here are a few "Dos and Don'ts". #Cloud #DevOps #SRE
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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
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