Deploying Python MCP Server to AWS ECS Express

This case study shows building a centralized multi-account AWS monitoring platform managing 25+ accounts using Python Boto3 to fetch resource configurations into MongoDB, with Flask API and Next.js frontend achieving $30k annual savings. More: https://ku.bz/LV7qH0CK1

What does a multi-agent comic builder look like when deployed across clouds? This dev uses Google's ADK and Gemini LLM to build a low-code Python app, deploy it to AWS Lambda, and run a full agent pipeline that outputs comic book HTML. { author: William McLean + Google Developer Experts } https://lnkd.in/eKaD2nt6 

Why am I still writing Bash when Python can do this better? So I started documenting the switch. Just published 3 new posts on my blog: 🐍 Phase 0: Python Basics for People Who Already Know Bash 🐍 Phase 1: Replace Your Shell Scripts with Python 🛠️ Project: Automated CI/CD Pipeline for a Flask App (Docker + Nginx + GitHub Actions + AWS EC2) Everything I'm learning, in public. If you're a DevOps engineer curious about Python or MLOps, I'm writing this roadmap for you. 🔗 [https://lnkd.in/gXJmVMTd] #DevOps #Python #MLOps #CI_CD #LearningInPublic #AWS #Docker

Just published a deep-dive blog on Docker + Python 🐳 Covered everything from scratch: → What Docker actually is (with a Maggie noodles analogy, yes) → Writing your first Dockerfile → Docker Compose for multi-service apps → Production setup with Gunicorn + Nginx → Deploying on AWS EC2 If you've been confused about containers, images, port mapping, or why your app "works on your machine" but breaks on the server - this one's for you. Link https://lnkd.in/gcn7atem #Docker #Python #DevOps #WebDevelopment #Flask #CloudComputing #AWS #Programming #100DaysOfCode #TechBlog

We launched our MCP server as an npm package yesterday, and the adoption has been insane!! You can now take any React or Python Claude Code project to production on AWS in literally one command. Try it out and ship faster - https://lnkd.in/d3mpXw5B

Every Python dev on AWS runs into this at some point: Three Lambda functions, all sharing the same Pydantic models. You copy-paste once. Then twice. Then you spend a Tuesday figuring out why one function is missing a field. Google it, and every article from 2019 gives the same answer: "Just use Lambda Layers!" But Lambda Layers are not a package manager. Yan Cui said it well back in 2021: "Lambda Layer is a poor substitute for existing package managers." No IDE autocomplete, no proper versioning, and if someone deletes a layer version, your deploys break until you fix the ARN. There is a cleaner way: uv workspaces with local packages, bundled into self-contained ZIPs by CDK. Each function gets only what it needs. Normal Python packaging, no AWS-specific workarounds. Full blog post with the CDK construct (Demo GitHub Repository Link included): 👉 https://lnkd.in/d2A8AqAv PS: One thing I want to mention regarding my blog posts in general: I don't want to write another "Hello World with AWS Lambda" tutorial. There are enough of those. What I find interesting are the edge cases - things that are barely documented but matter a lot once you run real workloads in production. #AWS #Python #Serverless #CDK

Google's Agent Development Kit runs on Python — but does it run on Azure Container Apps? This dev deploys a multi-agent comic book generator using ADK + Gemini to ACA, complete with a live visual builder walkthrough and working endpoint. { author: William McLean + Google Developer Experts } https://lnkd.in/eDdh6iZK

AWS Lambda C2 redirector...with the Terraform to deploy it 👍 Covered the Python code a couple days ago. The blog post goes into wrapping the full deployment in Terraform: Lambda, API Gateway, IAM, Lambda layers, etc It goes through the redirector code, what each piece of the Terraform does, and the operational caveats you need to know before using it Link below

"What's your tech stack?" Honest answer: Whatever works best for the problem. We use C#, Python, React, Kubernetes, AWS. The usual suspects. But strong engineering goes beyond the tools: > Writing clear, maintainable code > Comprehensive testing (because it matters) > Proper documentation (future-you will thank you) > Meaningful peer reviews that make the work better We choose technologies thoughtfully and build systems designed to scale and last. If you get excited about solving hard problems the right way, you'll fit right in - https://bit.ly/4cjpv9F

We’re excited to announce the production-ready release of Microsoft Agent Framework 1.0 for .NET and Python, bringing stable APIs, long‑term support, and enterprise‑grade foundations for building agentic and multi‑agent systems.