Tutorials Microservices with .NET
Strangler Fig Pattern — Complete Guide
Strangler Fig Pattern — 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 120 of 120
Enterprise Cloud-Native Platform — Capstone
Beginner ✓ → Intermediate ✓ → Advanced ✓ → Professional
Professional · 4 — Real projects · ~10 min · Module 12: Real-World Enterprise Projects
What is this?
This is the final project lesson. You wire together Gateway, eight ShopNest services, RabbitMQ, Docker Compose, health checks, and optional AKS deploy — the full story of the course.
Why should you care?
Employers and clients want proof you can finish. One deployed capstone explains your skills better than listing 120 lesson titles.
See it live — copy this example
Create a Web API project (dotnet new webapi), paste the code, then run dotnet run.
// ShopNest AnalyticsService — capstone module
// 1. Gateway + JWT 2. Order→Payment saga 3. RabbitMQ
// 4. docker compose up 5. Grafana dashboard
// README: architecture diagram + demo URL
Run Example »
This lesson uses terminal or setup steps. Run commands on your computer — the live editor appears on coding lessons.
What happened?
- Build incrementally: get docker compose up with Order + Payment + RabbitMQ first, then add Gateway, then observability.
- Do not try everything in one weekend without sleep.
Try it yourself
- docker compose up --build — all core services healthy.
- Place order through Gateway → verify Payment event → Inventory reserve.
- Add docker-compose README and architecture PNG.
- 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
Capstone = ShopNest Cloud-Native end-to-end. Deploy locally first; cloud second. Document and demo — that is the job-ready finish line.
Real-world: ShopNest Cloud-Native capstone
Eight services, YARP gateway, RabbitMQ, Docker Compose locally, AKS in production, OpenTelemetry traces on every checkout.
Outcome: Portfolio-ready proof you can demo in interviews and on your resume.
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