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DevOps

devops Beginner

Also Known As

DevOps culture Dev and Ops DevOps practices

TL;DR

A culture and set of practices that unifies development and operations teams to deliver software faster and more reliably.

Explanation

DevOps breaks down silos between development (building features) and operations (running infrastructure), promoting shared ownership of the full software lifecycle. Key practices include CI/CD pipelines, infrastructure as code (Terraform, Ansible), containerisation (Docker, Kubernetes), monitoring and observability, and blameless post-mortems. For PHP developers, DevOps means owning deployments, writing meaningful health checks and metrics, and participating in on-call rotations. The DORA metrics (deployment frequency, lead time, change failure rate, time to restore) measure DevOps effectiveness.

Common Misconception

DevOps just means developers also handle operations tasks. DevOps is a cultural shift emphasising shared ownership, automation, and fast feedback loops between development and operations — it is not a job title, a team name, or simply giving developers SSH access to servers.

Why It Matters

DevOps dissolves the wall between development and operations — teams that own both building and running their software deploy faster, fix incidents faster, and build more reliable systems.

Common Mistakes

  • Treating DevOps as a job title or team name rather than a cultural practice — it requires collaboration across all roles.
  • Automating deployment without improving feedback loops — automation without observability is blind.
  • Focusing on tools (Docker, Kubernetes) before addressing team process and communication.
  • Measuring DevOps success by deployment frequency alone — reliability and recovery time matter equally.

Code Examples

✗ Vulnerable
// DevOps anti-pattern — dev throws over the wall:
// Developer: 'Works on my machine, ops problem now'
// Operations: 'Dev broke prod again'
// No shared ownership, no blameless postmortems
// No developer access to production metrics
// Result: slow deploys, slow incident response, low morale
✓ Fixed
# DevOps practices for PHP teams

# Infrastructure as Code
# terraform/
#   main.tf    — EC2, RDS, ElastiCache
#   variables.tf

# Dockerised PHP app:
FROM php:8.3-fpm-alpine
RUN docker-php-ext-install pdo_mysql opcache
COPY --from=composer /usr/bin/composer /usr/bin/composer
WORKDIR /var/www/app
COPY . .
RUN composer install --no-dev --optimize-autoloader

# docker-compose.yml (local dev):
services:
  php:
    build: .
    volumes: [.:/var/www/app]
  nginx:
    image: nginx:alpine
  mysql:
    image: mysql:8.0
    environment: {MYSQL_DATABASE: app, MYSQL_ROOT_PASSWORD: secret}
  redis:
    image: redis:alpine

# Monitoring: error rates, response times, queue depth
# SLO: 99.5% requests < 500ms, < 0.1% error rate

Added 15 Mar 2026
Edited 22 Mar 2026
Views 34
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DEV INTEL Tools & Severity
🔵 Info ⚙ Fix effort: High
⚡ Quick Fix
Start with the basics that provide immediate value: automated CI tests, automated deployment, and structured logging — everything else builds on these three foundations
📦 Applies To
any web cli
🔗 Prerequisites
🔍 Detection Hints
Manual deployments via FTP or SSH; no CI pipeline; infrastructure configured by hand; ops and dev teams working in silos
Auto-detectable: ✗ No github-actions terraform ansible docker
⚠ Related Problems
🤖 AI Agent
Confidence: Low False Positives: High ✗ Manual fix Fix: High Context: File

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