Tutorials Microservices with .NET

Git Commit Best Practices — Complete Guide

Git Commit Best Practices — 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 91 of 131

Git Commit Best Practices

Beginner ✓Intermediate ✓Advanced ✓Professional

Professional · 4 — Real projects · ~10 min · Module 10: Git and GitHub

What is this?

Good commits are small, focused, and use clear messages — feat(order): publish event after save — so git log tells a story.

Why should you care?

When checkout breaks at 2am, git bisect finds the bad commit faster if commits are atomic.

See it live — copy this example

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

git commit -m "feat(order): publish OrderPlaced after SaveChanges"
git commit -m "fix(payment): handle duplicate charge idempotency"
git commit -m "chore(ci): add GitHub Actions build for Order.Api"

Run Example »

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

What happened?

  • Conventional commits (feat, fix, chore, docs) help automate changelogs.
  • One logical change per commit.

Try it yourself

  1. Rewrite your last three commits messages to conventional format.
  2. Split a large uncommitted diff into two commits.
  3. Run git log --oneline -5
  4. Change a string or route in the example and save — watch Swagger or the RabbitMQ Management UI update.
  5. Break the code on purpose (remove a semicolon), read the error message, then fix it.

Remember

Small atomic commits. Conventional commit messages. log should read like release notes.

Interview prep for this lesson

Practice these questions aloud after reading—each links to a full structured answer.

Senior PDF Detailed
Distributed Transactions: Using Two-Phase Commit (2PC) or Sagas to ensure?
Short answer: that a transaction either commits or rolls back across multiple services. Real-world example (ShopNest) After payment succeeds, ShopNest publishes OrderPaid . Inventory and Notification services react indep…
Mid PDF Detailed
Data Consistency: Since all services share the same database, it's easier to ensure?
Short answer: data consistency and avoid issues like eventual consistency. Real-world example (ShopNest) ShopNest splits Catalog, Cart, Order, and Payment into services so teams can deploy catalog changes without redeplo…
Mid PDF Detailed
Liveness Probe:?
Short answer: Used to determine if a service is alive and functioning. If the liveness probe fails, Kubernetes will restart the container. Example: A database connection check can be implemented as a liveness probe. Real…
Senior PDF Detailed
Eventual Consistency: Most microservices architectures lean toward eventual?
Short answer: consistency where services are allowed to be temporarily inconsistent, but will eventually converge to a consistent state through events. Event-driven architectures with tools like Kafka or RabbitMQ are com…
Mid PDF Detailed
External Configuration Management: Use tools like Consul, Spring Cloud?
Short answer: Config, or HashiCorp Vault to manage configuration in a central, environment-specific location. Real-world example (ShopNest) ShopNest splits Catalog, Cart, Order, and Payment into services so teams can dep…
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Microservices with .NET
Course syllabus

Microservices with .NET Tutorial

Module 1: Foundations and Fundamentals
Module 2: Building User Microservice
Module 3: ShopNest Services and Integration
Module 4: RabbitMQ and Messaging
Module 5: Saga and Distributed Transactions
Module 6: API Gateway
Module 7: gRPC, CQRS, and GraphQL
Module 8: Resiliency and Fault Tolerance
Module 9: DevOps and Cloud-Native
Module 10: Git and GitHub
Module 11: CI/CD Pipelines
Module 12: Observability and Testing
Module 13: Advanced Topics
Module 14: Real-World Enterprise Projects
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