Clean code
  • Overview
    • Introduction
    • Why is clean code so important?
    • What Is Clean Code?
    • How to write clean code?
    • Conventions
  • The key principles of clean code
    • Meaningful Names
    • Functions
    • Classes
    • Comments
    • Error Handling
      • Exception handling best practices
    • Unit Tests
    • Formatting
    • Objects and Data Structures
    • Simple Design Rules
    • Concurrency
    • Code Smells
  • Building Maintainable Software
    • Write Short Units of Code
    • Write Simple Units of Code
    • Write Code Once
    • Keep Unit Interfaces Small
    • Write Clean Code
    • Automate Tests
  • Bonus
    • SOLID Principle
      • SRP - Single Responsibility Principle
      • OCP - Open-Closed Principle
      • LSP - Liskov Substitution Principle
      • ISP - Interface Segregation Principle
      • DIP - Dependency Inversion Principle
    • LoD Principle
    • YAGNI Principle
    • DRY Principle
    • Fail Fast principle
    • Hollywood Principle
    • Library vs Framework
    • Coupling and Cohesion
    • AOP - Aspect-Oriented Programming
      • Building an AOP framework
    • OOP Design Pattern
    • Technical Dept
    • How to learn software Design and Architecture - Roadmap
    • Microservcies
      • Defining the scope of a microservice
      • Step-by-Step: How to Identify Over-Scoped Microservices
      • Benefits of Grouping or Consolidating Microservices
      • A practical step-by-step plan to consolidate microservice
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  1. Bonus
  2. Microservcies

Benefits of Grouping or Consolidating Microservices

1. Reduced Complexity

  • Fewer moving parts = easier to understand the system.

  • Less overhead managing inter-service communication, contracts, retries, circuit breakers, etc.

  • Simplifies onboarding for new developers.

🔧 Instead of juggling 20 tiny services, you might just need to care about 5 cohesive ones.


2. Easier Deployment

  • Fewer pipelines, artifacts, and deployment steps.

  • Less orchestration overhead in CI/CD.

  • Easier versioning and coordination.

💡 If multiple services always deploy together, just deploy them as one.


3. Better Performance

  • Reduced network calls between services = lower latency.

  • Less chance of cascading failures due to flaky inter-service dependencies.

  • Easier transaction handling (fewer distributed transactions or eventual consistency headaches).


4. Simplified Data Management

  • Shared models and schemas are easier to maintain.

  • No need to synchronize data across service boundaries.

  • Avoids duplication of data and logic.


5. Less Operational Overhead

  • Fewer services = fewer logs, alerts, configs, metrics, and dashboards to maintain.

  • Reduced need for infrastructure (containers, service discovery, API gateways).


6. Cleaner Domain Boundaries

  • Often when services are too fine-grained, they don’t reflect real business capabilities.

  • Grouping helps align services with actual domain contexts (DDD style).


7. Improved Developer Velocity

  • Changes are easier to make without worrying about breaking downstream services.

  • Less boilerplate and duplicated effort.


⚠️ But Be Careful…

You don’t want to swing too far and end up with a mini-monolith. The key is to consolidate logically, based on:

  • Business capability

  • Deployment and change patterns

  • Data ownership

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