Database per service pattern in Microservices - Cheat Sheet & Quick Revision

Recall & Review

beginner

What is the Database per service pattern in microservices?

It is a design approach where each microservice has its own separate database. This means services do not share a database, helping to keep them independent and loosely coupled.

beginner

Why does each microservice have its own database in the Database per service pattern?

To ensure that services are independent and changes in one service's database do not affect others. This improves scalability, fault isolation, and allows teams to choose the best database type for their service.

intermediate

What is a common challenge when using the Database per service pattern?

Maintaining data consistency across services can be difficult because each service manages its own data. This often requires using asynchronous communication or eventual consistency techniques.

intermediate

How does the Database per service pattern improve fault isolation?

If one service's database fails or has issues, it does not directly impact other services because they use separate databases. This limits the blast radius of failures.

intermediate

Give an example of how different microservices might use different types of databases in the Database per service pattern.

One service might use a relational database for structured data, while another uses a NoSQL database for flexible document storage. This allows each service to pick the best tool for its needs.

What is the main benefit of the Database per service pattern?

A All services share the same database

B Services are independent and loosely coupled

C It simplifies data consistency across services

D It requires fewer databases overall

Each service having its own database ensures independence and loose coupling.

Which challenge is common with the Database per service pattern?

A Data consistency across services

B Single point of failure

C Limited scalability

D Tight coupling of services

Maintaining data consistency is harder because each service manages its own database.

How does the Database per service pattern affect fault tolerance?

A Reduces the number of databases needed

B Increases risk of cascading failures

C Improves fault isolation between services

D Makes all services dependent on one database

Separate databases limit failure impact to individual services.

What is a typical way to handle data consistency in this pattern?

A Use synchronous database transactions across services

B Use a single shared database

C Avoid communication between services

D Use asynchronous communication and eventual consistency

Asynchronous communication helps manage consistency without tight coupling.

Which statement about Database per service pattern is FALSE?

A Services share a common database schema

B Each service can choose its own database type

C It supports polyglot persistence

D It helps teams work independently

Services do NOT share a common database schema; each has its own database.

Explain the Database per service pattern and its main advantages in microservices architecture.

Think about how separating databases helps services work independently.

Describe the challenges of data consistency in the Database per service pattern and common solutions.

Consider how services communicate to keep data aligned.