01. DevOps Flow

DevOps Flow

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Prerequisites

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1. What is DevOps?

DevOps = Development + Operations

DevOps is not just a set of tools. It is a culture and methodology that integrates development and operations into a single continuous workflow.

DevOps is the practice of automating and integrating software development, deployment, and operations into a continuous pipeline.

2. The Problem Before DevOps

Traditionally, software development looked like this:

Developers → handoff code → Operations → deploy

• Slow deployment cycles
• Lack of ownership
• Environment mismatch (“works on my machine”)
• Slow incident response

3. Core Idea of DevOps

DevOps unifies the entire lifecycle:

Code → Build → Test → Deploy → Operate → Monitor → Code

The key is automation across the entire pipeline

✅ Faster Delivery

• Multiple deployments per day

✅ Higher Reliability

• Automated testing and monitoring

✅ Better Collaboration

• No strict boundary between Dev and Ops

✅ Environment Consistency

• Containers eliminate environment issues

3-1. Build

Transform source code into an executable

For C++ developers:

• CMake + vcpkg = Build stage

3-2. CI (Continuous Integration)

Triggered on every code push

• Build the project
• Run tests

Tools:

• GitHub Actions
• Jenkins

3-3. CD (Continuous Deployment)

Automatically deploy the application

• Build Docker image
• Push to registry
• Deploy to server or cloud

Tools:

• Docker
• Kubernetes

3-4. Operate

Run and manage the system in production

• Infrastructure management
• Scaling
• Failure handling

Examples:

• AWS EC2
• Kubernetes clusters

3-5. Monitor

Track system health and performance

Metrics:

• CPU / Memory
• Latency
• Error logs

Tools:

• Prometheus
• Nagios

End-to-End Flow

[Developer]
   ↓
Git Push
   ↓
CI (Build + Test)
   ↓
Docker Image Build
   ↓
CD (Deploy)
   ↓
Production (Run)
   ↓
Monitoring

If something fails → fix → repeat

DevOps from a C++ Developer Perspective

A typical workflow:

Write C++ code
→ Build with CMake
→ Run CI (GitHub Actions)
→ Build Docker image
→ Deploy to AWS / server
→ Monitor logs and performance

4. Example

# Build
cmake -S . -B build
cmake --build build --config Release

# Docker
docker build -t my-app .
docker run my-app

# Deploy (example)
aws ecr push ...