Tutorials Microservices with .NET
Kubernetes Deployment — Complete Guide
Kubernetes Deployment — Complete Guide: free step-by-step lesson with examples, common mistakes, and interview tips — part of Microservices with .NET on Toolliyo Academy.
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Microservices with .NET · Lesson 80 of 120
Blue-Green Deployment
Beginner ✓ → Intermediate ✓ → Advanced → Professional
Advanced · 3 — Production skills · ~10 min · Module 8: DevOps and Cloud-Native
What is this?
Blue-Green Deployment is a key part of ShopNest Cloud-Native — your .NET microservices learning project. In plain terms: it helps Analytics Service work correctly in a distributed system where each app deploys and scales on its own.
Why should you care?
You care about this when services leave your laptop and run on servers, Kubernetes, or Azure where restarts and scaling happen automatically.
See it live — copy this example
Create a Web API project (dotnet new webapi), paste the code, then run dotnet run.
# Two deployments: order-api-green, order-api-blue
# Service selector switches after health checks pass
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 Blue-Green Deployment 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
- Open or create the ShopNest project area for Analytics Service.
- Apply the Blue-Green Deployment pattern from the lesson example.
- Run dotnet build && dotnet run (or docker compose up when the lesson uses containers).
- Change a string or number in the example and run again — predict the output first.
- Break the code on purpose (remove a semicolon), read the compiler error, then fix it.
Remember
Blue-Green Deployment 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.
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