benhall / golang-demo

Overview

This document provides a in-depth exploration of the Continuous Integration and Continuous Deployment (CI/CD) automation scripts utilized within the benhall/golang-demo project. Currently, the CI/CD processes have not been set up for this project. However, the documentation serves as a guide for potential next steps and provides insights on how to implement automation scripts in a Golang environment using Docker.

Current Status

As of now, the project does not implement a CI/CD pipeline. To initiate a CI/CD setup, the following steps are suggested:

  1. Choosing a CI/CD Tool
    Select a CI/CD tool such as GitHub Actions, Travis CI, GitLab CI/CD, or CircleCI.

  2. Creating Configuration Files
    You will need to create configuration files appropriate for the chosen CI/CD tool. For example, if using GitHub Actions, a .github/workflows/ci.yml file is typically created.

  3. Integrating Docker
    Since the project includes a Dockerfile, you will need to ensure that your CI/CD pipeline builds the Docker image correctly based on the provided Docker setup.

  4. Testing
    Incorporate testing scripts to ensure code quality before deploying.

  5. Deployment
    Configure deployment steps that can push your Docker image to a container registry and deploy it to your desired environment.

Example Scripts

Here’s an example of how you could structure a CI/CD pipeline using GitHub Actions:

GitHub Actions Configuration Example

Create a file .github/workflows/ci.yml in the root of your project:

name: CI/CD Pipeline

on:
  push:
    branches:
      - main
  pull_request:
    branches:
      - main

jobs:
  build:
    runs-on: ubuntu-latest

    steps:
      - name: Checkout code
        uses: actions/checkout@v2

      - name: Set up Go
        uses: actions/setup-go@v2
        with:
          go-version: '1.21'

      - name: Cache Go modules
        uses: actions/cache@v2
        with:
          path: ~/.cache/go-build
          key: ${{ runner.os }}-go-${{ hashFiles('**/go.mod') }}
          restore-keys: |
            ${{ runner.os }}-go-

      - name: Build the application
        run: |
          go mod download
          go build -o myapp
          
      - name: Build Docker image
        run: |
          docker build -t myapp .

      - name: Run tests
        run: go test ./...

In this configuration:

  • The workflow is triggered on pushes and pull requests to the main branch.
  • It sets the Go version to 1.21, matching the Golang version defined in the Dockerfile.
  • The caching step is included to speed up build times by caching Go modules.
  • The application is built, and a Docker image is also created using the provided Dockerfile.

Dockerfile Integration

The CI/CD pipeline will leverage the Dockerfile present in the project’s root directory. The Dockerfile is structured to facilitate a multi-stage build process:

# First stage: build the application
FROM golang:1.21-alpine AS builder

# Set the working directory
WORKDIR /app

# Copy go.mod
COPY go.mod go.sum ./

# Download dependencies and generate go.sum
RUN go mod download && go mod tidy

# Copy the rest of the application code
COPY . .

# Build the application
RUN go build -o myapp

# Second stage: create the runtime image
FROM alpine:latest

# Set the working directory
WORKDIR /root/

# Copy the built application from the builder stage
COPY --from=builder /app/myapp .

# Expose port 8080 to the outside world
EXPOSE 8080

# Command to run the executable
CMD ["./myapp"]

Explanation

  1. Multi-Stage Build: This Dockerfile uses multi-stage builds to separate the build environment from the runtime environment, minimizing the final image size.

  2. Dependency Management: The go mod commands ensure that all dependencies are downloaded before compiling the application.

  3. Port Exposure: The Dockerfile exposes port 8080, which is critical for applications that need to accept traffic.

Next Steps

To successfully implement CI/CD for this project, consider the following steps:

  • Select and set up a CI/CD tool as mentioned earlier.
  • Create the corresponding configuration files for the chosen tool.
  • Implement the pipeline integration with the provided Dockerfile.
  • Include testing and deployment configurations to ensure the application is not only built but also validated and deployed automatically.

By following these guidelines, the project can evolve towards automated workflows that enhance collaboration and reduce the risk of errors during deployment.