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DevOps

DevOps is a set of practices that combines software development (Dev) and IT operations (Ops) to shorten the systems development life cycle and provide continuous delivery of high-quality software. The goal of DevOps is to reduce the time between writing code and deploying it into production while improving the quality of the software.

There are several principles of DevOps, including:

  1. Continuous Integration (CI): The practice of frequently integrating code changes into a shared repository. This allows developers to catch and fix issues earlier in the development process.

  2. Continuous Delivery (CD): The practice of automatically deploying code changes to production or staging environments after passing automated tests. This allows for faster feedback loops and reduces the risk of human error during deployments.

  3. Continuous Deployment (CD): The practice of automatically deploying code changes to production environments after passing automated tests. This takes CD a step further by completely automating the deployment process, removing the need for human intervention.

Here are some code examples that illustrate these DevOps principles:

Continuous Integration (CI) Example:

yaml
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# A simple Python script to add two numbers def add(x, y): return x + y # Unit tests for the add function def test_add(): assert add(2, 3) == 5 assert add(0, 0) == 0 assert add(-1, 1) == 0 # Continuous Integration using GitHub Actions name: CI on: [push] jobs: build: runs-on: ubuntu-latest steps: - uses: actions/checkout@v2 - name: Set up Python 3.x uses: actions/setup-python@v2 with: python-version: '3.x' - name: Install dependencies run: | python -m pip install --upgrade pip pip install -r requirements.txt - name: Run tests run: pytest

In this example, we have a simple Python script that adds two numbers and unit tests for the add function. We are using GitHub Actions to implement CI. Every time a new commit is pushed to the repository, the CI workflow is triggered. The workflow sets up a Python environment, installs dependencies, and runs the tests. If any of the tests fail, the workflow fails, and the developer is notified.

Continuous Delivery (CD) Example:

python
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# A Flask web application that returns "Hello, World!" from flask import Flask app = Flask(__name__) @app.route('/') def hello_world(): return 'Hello, World!' if __name__ == '__main__': app.run()

In this example, we have a simple Flask web application that returns "Hello, World!" when accessed. We can implement CD using a tool such as Jenkins or Travis CI. Every time a new commit is pushed to the repository, the CD pipeline is triggered. The pipeline builds the application, runs automated tests, and deploys the application to a staging environment if the tests pass. The developer can then manually promote the application to production.

Continuous Deployment (CD) Example:

javascript
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# A simple Node.js web application that returns "Hello, World!" const http = require('http'); const server = http.createServer((req, res) => { res.statusCode = 200; res.setHeader('Content-Type', 'text/plain'); res.end('Hello, World!\n'); }); server.listen(process.env.PORT, () => { console.log(`Server running on port ${process.env.PORT}`); });

In this example, we have a simple Node.js web application that returns "Hello, World!" when accessed. We can implement CD using a tool such as AWS CodeDeploy or Google Cloud Build. Every time a



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