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Showing posts from July, 2025

Mlops IV

  11. Container Orchestration & Kubernetes Here’s a concise and interview-friendly explanation of Kubernetes (K8s) core concepts — Pods , Services , and Deployments , along with real-world analogies , use cases , and YAML examples . 🧱 1. Pod – The Smallest Deployable Unit ✅ What is a Pod? A Pod is the smallest unit in Kubernetes. It wraps one or more containers (usually one) that share: Network namespace (IP + port space) Storage volumes Execution lifecycle 🔁 Analogy: Think of a Pod like a room where one or more people (containers) live together, sharing Wi-Fi and electricity (network/storage). 📦 Example: apiVersion: v1 kind: Pod metadata: name: my-nginx spec: containers: - name: nginx image: nginx:latest ports: - containerPort: 80 🌐 2. Service – A Stable Network Endpoint ✅ What is a Service? A Service is an abstraction to expose Pods . It provides: A stable IP & DNS name Load balancing across health...

Mlops - III

  8. CI/CD for ML 🚀 What is CI/CD? Acronym Meaning CI Continuous Integration CD Continuous Delivery or Continuous Deployment CI/CD automates the process of building, testing, and deploying applications to reduce manual work, improve consistency, and speed up delivery cycles. ✅ 1. Continuous Integration (CI) 🔹 Goal: Automatically integrate code from multiple developers, test it, and detect errors early. 🔧 Typical Steps in CI: Developer pushes code to GitHub/GitLab/Bitbucket CI pipeline triggers: Run unit tests Run linting/formatting (e.g., flake8, black) Build application artifacts Generate reports (e.g., test coverage) 🔁 Tools: GitHub Actions GitLab CI Jenkins CircleCI Travis CI ✅ 2. Continuous Delivery (CD) 🔹 Goal: Automatically prepare the application to be deployed in a staging or production environment — but with manual approval for final deployment . 🧩 Steps: All CI steps Deploy to staging R...