Shared database anti-pattern in Microservices - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the shared database anti-pattern in microservices?

It is when multiple microservices directly access the same database schema or tables, causing tight coupling and reducing service independence.

beginner

Why is the shared database anti-pattern problematic?

Because it breaks the principle of service autonomy, making it hard to deploy, scale, or change services independently.

intermediate

What is a better alternative to the shared database anti-pattern?

Each microservice should have its own database or schema and communicate with others through APIs or messaging, preserving loose coupling.

intermediate

How does the shared database anti-pattern affect data consistency?

It can cause data integrity issues because multiple services might update the same data without coordination, leading to conflicts.

beginner

What real-life analogy helps explain the shared database anti-pattern?

It's like several roommates sharing one notebook to write their schedules, causing confusion and conflicts instead of each having their own planner.

What does the shared database anti-pattern violate in microservices?

A Data encryption

B Service autonomy

C Load balancing

D User authentication

The shared database anti-pattern violates service autonomy by tightly coupling services through a common database.

Which is a common consequence of using a shared database in microservices?

A Tight coupling between services

B Independent service deployment

C Improved fault isolation

D Simplified API design

Using a shared database causes tight coupling, making services dependent on each other's data structure.

What is a recommended practice instead of sharing a database in microservices?

A Each service owning its database

B Using a monolithic database

C Sharing a single schema

D Direct database calls between services

Each microservice should own its database to maintain independence and loose coupling.

How can microservices communicate without sharing a database?

A Common database triggers

B Direct SQL queries

C Shared file system

D APIs or messaging systems

Microservices communicate via APIs or messaging to exchange data without sharing databases.

What problem arises when multiple services update the same shared database tables?

A Faster query performance

B Simplified backups

C Data conflicts and integrity issues

D Improved scalability

Multiple services updating the same data can cause conflicts and break data integrity.

Explain the shared database anti-pattern and why it is discouraged in microservices.

Think about how sharing one notebook among friends can cause confusion.

Describe how microservices should handle data storage to avoid the shared database anti-pattern.

Imagine each friend having their own planner and sharing updates by talking.