Mastering Microservices: Design Scalable and Independent Systems with Confidence

Microservices are small, independent services that work together to form a system.

Posted by Hüseyin Sekmenoğlu on May 23, 2023 Architecture & Patterns

Microservices are small, independent services that work together to form a system.
Each one runs its own logic, stores its own data and can be built, deployed and scaled on its own.


๐Ÿ” Why Microservices?

  • ๐Ÿ’ก Independent scaling: Scale only what needs scaling. Stop wasting resources on monoliths.

  • ๐Ÿš€ Faster deployment: Each microservice has its own CI/CD pipeline.

  • ๐Ÿงช More testing flexibility: Test parts of your system in isolation.

  • ๐Ÿ‘ฅ Smaller teams: Teams work on different services in parallel.

  • ๐Ÿ›  Tech flexibility: Use the best tool for the jobโ€”language, platform, database or framework.

  • ๐Ÿ•ธ Easier legacy integration: Wrap old systems inside microservices and evolve at your pace.


๐Ÿ“ฆ Real-World Example

Imagine an e-commerce platform built with microservices:

Service

Responsibility

Tech Stack

๐Ÿ›’ Cart Service

Add/remove items

Node.js + Redis

๐Ÿท Product Service

Manage product catalog

Python + PostgreSQL

๐Ÿ’ณ Payment Service

Handle transactions

Java + Stripe API

๐Ÿ“ฆ Shipping Service

Fulfill and track deliveries

Go + RabbitMQ

๐Ÿ‘ค Auth Service

Manage login and permissions

.NET + Azure AD

Each service is deployed independently and communicates via REST or messaging (like RabbitMQ or Azure Service Bus).


๐Ÿ“ Core Principles

1. Independence of Design
Each service must be isolated in logic and data. No shared databases.

2. Independent Deployment
Services should run anywhereโ€”use containers to bundle code and dependencies.

3. Loose Coupling
Limit dependencies. Prefer asynchronous messaging. Avoid chained API calls.

4. Data Ownership
Each microservice must own its data. Changes are shared via events.

5. Idempotency
Design messages so re-processing them doesn't break the system.


๐Ÿ›ก Resilience Tactics

  • ๐Ÿ” Retry with backoff
    Retry failed requests with increasing delay: 10ms โ†’ 20ms โ†’ 40ms...

  • ๐Ÿงฏ Circuit breakers
    Stop retrying when a service is clearly failing.

  • ๐Ÿ”ฉ Bulkheads
    Limit concurrent requests per service to avoid system-wide crashes.

  • ๐Ÿ“ฌ Message deduplication
    Use message IDs and reject duplicates:

if (receivedMessages.has(message.id)) {
  return; // already processed
}
receivedMessages.set(message.id, true);

Microservices are more than a design choice.
Theyโ€™re a strategic advantage that brings scalability, flexibility and speed to modern software teams.