9 Essential Microservices Patterns Every Architect Should Know

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Designing robust microservices requires choosing the right patterns for performance, resilience, and scalability. Here are 9 essential patterns every architect should know:

1. Database Per Service Pattern

Each microservice manages its own database, ensuring loose coupling and full data ownership.

2. Event Sourcing Pattern

Stores every change as an event rather than the latest state. Great for audit logs and debugging.

3. API Gateway Pattern

Acts as a single access point that routes requests to microservices, handling concerns like auth and rate limiting.

4. Saga Pattern

Coordinates distributed transactions using a series of steps and compensating actions to handle failures.

5. BFF (Backend for Frontend) Pattern

Creates different backends for web and mobile, improving performance and customizing data handling per client.

You Should Know:

  1. Database Per Service – Implementation with Docker & PostgreSQL 
    </li>
</ol>

<h1>Spin up a PostgreSQL container for a microservice</h1>

docker run --name user-service-db -e POSTGRES_PASSWORD=securepass -d postgres:latest

<h1>Connect and create a dedicated DB</h1>

psql -h localhost -U postgres 
CREATE DATABASE user_service_db;

    2. Event Sourcing – Kafka Setup

    
<h1>Start Kafka with Docker</h1>

docker-compose up -d zookeeper kafka

<h1>Create a topic for event logs</h1>

docker exec -it kafka kafka-topics.sh --create --topic user-events --bootstrap-server localhost:9092

    3. API Gateway – NGINX Configuration

    server { 
listen 80; 
location /user-service/ { 
proxy_pass http://user-service:3000/; 
} 
location /order-service/ { 
proxy_pass http://order-service:4000/; 
} 
}

    4. Saga Pattern – Compensating Transaction Example

    
<h1>Pseudocode for a failed order saga compensation</h1>

def compensate_order(order_id): 
refund_payment(order_id) 
revert_inventory(order_id) 
log_saga_failure(order_id, "Order failed")

    5. BFF – Optimizing for Mobile (GraphQL)

    [javascript]
    // Apollo Server setup for mobile BFF
    const { ApolloServer } = require(‘apollo-server’);
    const typeDefs = gqltype Query {
    mobileUser(id: ID!): User
    }
    `;
    [/javascript]

    What Undercode Say:

    Microservices demand careful pattern selection to avoid pitfalls like distributed monoliths. Use Kubernetes for orchestration (`kubectl apply -f deployment.yaml), Prometheus for monitoring (prometheus --config.file=prometheus.yml), and Istio for service mesh (istioctl install). Always test resilience with Chaos Engineering (chaosblade inject network loss).

    Expected Output:

    • Scalable, decoupled microservices.
    • Auditable event logs.
    • Centralized API management.
    • Reliable distributed transactions.
    • Client-optimized backends.

    Relevant URLs:

    References:

    Reported By: Goyalshalini Designing – Hackers Feeds
    Extra Hub: Undercode MoN
    Basic Verification: Pass ✅

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