Python DevOps Automation: Restarting a Service

🚀 Self-Healing IT System (15s Demo) This system detects when a service (nginx) goes down and automatically fixes it using Python & Ansible. 💡 In real IT environments, this kind of automation helps reduce downtime and eliminates manual intervention. #Automation #DevOps #Python #Ansible #radwan_so

Just automated my entire LinkedIn posting schedule using a custom Python microservice and GitHub Actions. 🚀 Engineers shouldn't do repetitive tasks. If you do something every day, automate it. I used: 🔹 Python for the API logic 🔹 LinkedIn Developers API (OAuth 2.0) 🔹 GitHub Actions for the CRON scheduler If you want the architecture breakdown, let me know in the comments! 👇 #SoftwareEngineering #Python #GitHubActions #Automation #DevOps

🚀 Day 11/30 — Containerizing a Python Application 🔹 Simple Python Application • Create a basic Python app (script or small web application) 🔹 Create Dockerfile • Define environment, dependencies, and run commands for the app Example: FROM python:3.9 WORKDIR /app COPY . . RUN pip install -r requirements.txt CMD ["python","app.py"] 🔹 Build Docker Image docker build -t python-app:v1 . 🔹 Run Containerized Application docker run -p 5000:5000 python-app:v1 👉 Outcome: Learned how to containerize and run a Python application using Docker. #Docker #DevOps #30DaysChallenge #Containerization

🚀 Docker Image – A Game Changer in Application Deployment Before Docker, setting up an application on another machine often meant: ❌ Installing Python ❌ Setting up dependencies ❌ Fixing environment issues ❌ “Works on my machine” problems With Docker, everything changes. ✅ Package your application ✅ Include all dependencies ✅ Create a Docker Image ✅ Run the same application anywhere using containers Now anyone can run your application with a single command. Code + Dependencies + Environment = One Portable Image #Docker #DevOps #BackendDevelopment #FastAPI #SoftwareDevelopment #Containerization #Python

🚀 Docker Practice: Containerizing Python Applications 🔹 Ran Python applications inside containers without installing Python on the host 🔹 Organized application files using WORKDIR 🔹 Installed dependencies using requirements.txt 🔹 Configured environment variables inside containers 🔹 Built lightweight container images using python:3.11-alpine This hands-on practice strengthened my understanding of Dockerfile instructions and container optimization in real-world DevOps workflows. 💡 Continuously learning and exploring Docker & DevOps. #Docker #DevOps #Python #Containerization #LearningJourney #Linuxworld

🚀 Docker Project Practice – Running a Python Application inside a Container 🔎 Project Overview: This project focused on understanding the fundamentals of containerization by packaging a simple Python application into a Docker image. The objective was to ensure that the application could run consistently across different systems without requiring a local Python installation. 🔧 Key Activities: ✔ Created a Dockerfile to define the application runtime environment ✔ Built a custom Docker image and executed the container ✔ Verified successful execution of the Python script inside the container 🎯 Learning Outcome: Gained practical knowledge of Docker image creation, container execution, and application portability. #Docker #DevOps #Python #Containerization #LearningJourney LinuxWorld Informatics Pvt Ltd Jibbran Ali

Just finished building a Dockerized 2FA-Lite Microservice (Python/Flask). Minimal footprint, headless API structure, QR codes and tokens in RAM without writing to disk at any point. Anyone can integrate it. Check the logic here: https://lnkd.in/dBKjNWhY #Python #Docker #DevOps #Security #Backend #Microservices

While learning Python, I started exploring how it fits into day-to-day DevOps tasks. Turns out, even small scripts can help with things like: • Log analysis • API calls and JSON parsing • Running system commands • Monitoring CPU, memory, and disk usage • Simple service health checks Automation doesn’t always require complex tools — sometimes a simple Python script can do the job. Sharing some useful Python examples for DevOps in the attached notes 👇 #DevOps #Python #Automation #CloudEngineering

Vercel engineers spent a year building PEP 827 — a proposal that could give Python the programmable type system TypeScript developers have always taken for granted. https://lnkd.in/dDmRNBpj

🚀 Hands-on with Docker: Building a Lightweight Production Container Image As part of strengthening my containerization fundamentals, I worked on creating a lightweight Docker image for a Python application to optimize performance and efficiency in production environments. 🔹 Project Overview Created a simple Python application (app.py) Built a Docker image using a lightweight base image (python:alpine) Structured the container with a proper working directory Built the image named optimizedapp Successfully ran the container and verified the application output 🔹 Key Learnings Using minimal base images significantly reduces container size Smaller images improve deployment speed and resource efficiency #Docker #DevOps #Containers #CloudComputing #Python#LinuxWorld