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Docker Best Practics

🚀 Mastering Docker Best Practices 🚀 Are you struggling with bloated containers, slow builds, security vulnerabilities, or inefficient resource allocation? In this video, we explore the best practices for creating Docker images and running containers efficiently. ⏰ Timestamps: 0:00 - Introduction to Docker Best Practices 0:31 - Why Best Practices Matter in Docker 1:52 - Use Minimal Base Images (Python 3.9 vs. Python 3.9 Slim) 2:16 - Reduce Layers in Dockerfile (Multi-command Layering) 4:36 - How to Check Layers in a Docker Image (docker history) 5:20 - Efficient Resource Allocation: Limit CPU & Memory Usage 7:40 - Use Multi-Stage Builds for Optimized Images 9:02 - Running Containers with Limited System Resources 11:02 - Security Best Practices: Running Docker as a Non-Root User 12:46 - Exposing Only Necessary Ports in Docker 13:50 - Managing Secrets Securely (Avoid Hardcoding Credentials) 14:17 - Using .env Files for Secure Environment Variables 15:25 - Recap of Best Practices & Final Thoughts 🔥 Key Takeaways ✅ Keep images lightweight by using minimal base images ✅ Reduce unnecessary layers to optimize build speed ✅ Efficiently allocate CPU & memory for resource management ✅ Implement security best practices (non-root user, secret management) ✅ Integrate Docker into your CI/CD pipeline for automation 📢 Check out our other AI & ML videos: 🔹    • Supervise Machine Learning , Regression an...   🔹    • Machine Learning Life Cycle updated   🔹    • Logistic Regression Part 1   🔹    • Logistic Regression Part 2 Math Foundation   🔹    • IRIS Flower class prediction model manual ...   📌 Follow Us on Social Media for More ML & AI Content: 🔹 Instagram:   / deepneuron.ai   🔹 Twitter (X): https://x.com/DeepneuronA 🔹 Website: https://deepneuron.in/ 🔹 Website: https://training.deepneuron.in/ 📲 Call/WhatsApp for AI & ML Training: +91 90432 35205 💬 Drop a comment with your questions and experiences using Docker! Don't forget to LIKE 👍 and SUBSCRIBE 🔔 #Docker #DevOps #CloudComputing #Containerization #DockerSecurity #MLOps #AWS #Kubernetes #SoftwareDevelopment