Stop shipping massive, bloated Python containers. 🐳🐍 As a DevOps engineer, one of the easiest wins for performance and security is optimizing your FastAPI Dockerfiles. Moving from a single-stage "heavy" build to a multi-stage workflow isn't just about saving disk space—it’s about: ✅ Security: Removing compilers, pip, and OS packages in the final image. ✅ Speed: Faster CI/CD pipelines and quicker scaling during deployments. ✅ Efficiency: Using non-root users and slim base images to reduce the attack surface. Check out this breakdown: 1.2 GB (Bad) ➡️ 150 MB (Good) How are you optimizing your Python builds? Let's discuss in the comments! 👇 #DevOps #Docker #Python #FastAPI #CloudNative #ProgrammingTips

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

🐳 Optimized Docker images = Faster deployments! Reduced my Python app image from 1.6GB → 96.9MB — that's a 94% size reduction! Using gcr.io/distroless + multi-stage builds to ship lean, production-ready containers. 🚀 #Docker #DevOps #AWS #Python #Optimization #CloudEngineering

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

A minimal Python MCP server, validated locally with Gemini CLI, then deployed to AWS ECS Express in a single step. This dev walks through the incremental approach — from stdio transport to HTTP, from local to remote — without the extra noise. { author: William McLean + Google Developer Experts } https://lnkd.in/eQ6R5cbc

I just gave my GitHub profile a long-overdue refresh. Honest disclaimer: the contents are still pretty thin — I haven't really been coding much until now 😂 But I've decided to start growing it from here, little by little. If you're curious to follow the journey (TypeScript, Python, Java, and some Azure OpenAI experiments along the way), feel free to take a look and connect. 👉 https://lnkd.in/gSqKcEMV #SoftwareEngineering #BuildInPublic #GitHub

🐍 Why Python is the Best Language for Beginners What makes Python powerful? ✔ Easy syntax (almost like English) ✔ Less code, more output ✔ Huge community support Example: Print a message → print("Hello World") That simplicity is why Python is widely used in: ✔ Cloud ✔ Automation ✔ Data #Python #LearningToCode

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

You don't need an API key to run AI from Python. Two tools - uv for dependency management - ollama for model management One file - a simple Python script No extras - no Docker - no venv - no cloud bill Here is a quick setup I use for local LLM projects. Swipe to see it. Link in comments. #Python #LocalAI #Ollama #DeveloperTools #AI

Python Reimplementation of Claude Code Agent Now Available for Local Models 📌 Claw Code Agent lets devs run Claude-style coding agents locally-no cloud subscription needed. Built in pure Python, it strips away enterprise bloat for lean, open-source control over tool calls, file edits, and shell commands. Perfect for Python engineers wanting to experiment with agentic workflows using local models like Qwen3-Coder. 🔗 Read more: https://lnkd.in/d7SNVJ4f #Python #Claudecodeagent #Clawcodeagent #Localmodels #Opensource