Why should you care?

You care about this when more than one developer touches ShopNest and you need safe merges and automatic test-and-deploy pipelines.

See it live — copy this example

Create a Web API project (dotnet new webapi), paste the code, then run dotnet run.

# .github/workflows/order-api.yml
on:
  push:
    paths: ['src/Order.Api/**']
jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - run: dotnet test && dotnet publish -c Release

Run Example »

This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.

What happened?

• The example shows CI/CD Pipelines wired into Analytics Service.
• Read each line, run it locally, then change one setting and observe what breaks or improves.
• That is how teams learn in production too — small experiments, not big bang rewrites.

Try it yourself

1. Open or create the ShopNest project area for Analytics Service.
2. Apply the CI/CD Pipelines pattern from the lesson example.
3. Run dotnet build && dotnet run (or docker compose up when the lesson uses containers).
4. Change a string or number in the example and run again — predict the output first.
5. Break the code on purpose (remove a semicolon), read the compiler error, then fix it.

Remember

CI/CD Pipelines connects to Analytics Service in ShopNest Cloud-Native. Practice by editing the example yourself — do not only read. Move on when you can explain this topic in your own words without looking.

Real-world: Flipkart Big Billion Day checkout

During peak sales, Order and Payment services scale independently. RabbitMQ buffers spikes so Payment workers catch up without blocking the mobile app.

Outcome: Checkout returns in under 500ms while payment completes in the background — shoppers see clear status updates.