DevOps Best Practices: From Code to Production

DevOps Best Practices: From Code to Production

A comprehensive guide to implementing CI/CD pipelines, containerization strategies, and monitoring solutions.

CI/CD Pipeline Setup

Here's how I structure my GitHub Actions workflows:

yaml

name: CI/CD Pipeline

on:

push:

branches: [main]

pull_request:

branches: [main]

jobs:

test:

runs-on: ubuntu-latest

steps:

- uses: actions/checkout@v3

- name: Run tests

run: |

npm install

npm test

Docker Best Practices

Containerization is key to consistent deployments:

dockerfile

Multi-stage build for optimization

FROM node:18-alpine AS builder

WORKDIR /app

COPY package*.json ./

RUN npm ci --only=production

FROM node:18-alpine

WORKDIR /app

COPY --from=builder /app/node_modules ./node_modules

COPY . .

EXPOSE 3000

CMD ["npm", "start"]

Monitoring and Logging

Proper monitoring is essential for production systems:

python

import logging

from prometheus_client import Counter, Histogram

Metrics

request_counter = Counter('http_requests_total', 'Total HTTP requests')

request_duration = Histogram('http_request_duration_seconds', 'HTTP request duration')

Logging

logging.basicConfig(level=logging.INFO)

logger = logging.getLogger(__name__)