This document discusses various microservice design patterns that can be employed for business applications, including the strangler pattern, saga pattern, aggregator pattern, event sourcing, command query responsibility segregation (CQRS), sidecar pattern, and database per microservice. Each pattern serves a specific function in managing transactions, aggregating services, handling data operations, and improving scalability. The document emphasizes the importance of using independent components and databases to avoid tight coupling and enhance system reliability.

1. Top Microservice Design
Patterns to Use For Your
Business

2. Table of Contents
2
What are microservices design patterns?
Strangler pattern
Saga pattern
Aggregator pattern
Event Sourcing
I
II
III
IV
V
Command Query Responsibility Segregation (CQRS)
Sidecar pattern
Database per microservice
VI
VII
VIII

3. 2
A microservice consists of independent app components that perform
specific functions for a system.
It may have a single instance or multiple instances based on the
functional requirements.
Together with the client-side (web interface and mobile UI) and other
integrated services in the intermediate layers, each of these
microservices forms a complete architecture.
What are microservices design
patterns?

4. 2
Originally introduced by Martin Fowler in 2004 with the “StranglerFigApplication” blog post.
Allows an incremental and reliable process of refactoring code.
Changes are incremental and monitored at all times.
#1. Strangler pattern

5. 2
One of the microservice design patterns allows you to manage such transactions using a sequence of local
transactions.
Each transaction is followed by an event that triggers the next transaction step.
If one transaction fails, the saga pattern triggers a rollback transaction compensating for the failure.
#2. Saga pattern

6. 2
This pattern allows you to abstract the business logic from multiple services and aggregate them in a single
microservice.
So, only one aggregated microservice is exposed to the UI instead of multiple services.
#3. Aggregator pattern

7. 2
Event sourcing patterns help you tackle these issues by defining a meticulous approach to handling data
operations that are driven by a sequence of events.
For example, if you consider an eCommerce app, the creation of a shopping cart and the addition or removal of
items are events.
#4. Event Sourcing

8. 2
This pattern is ideal in cases where the number of data reads is much higher than the number of data writes.
In such cases, microservice design patterns like CQRS will help you in scaling the read model separately.
#5. Command Query Responsibility Segregation

9. 2
The sidecar pattern allows you to co-locate additional services within an independent container.
Both the core app and sidecar pattern can perform read and write operations with a shared file system.
It will enable you to have additional services as a part of the core app without being tightly coupled.
#6. Sidecar pattern

10. 2
Using one extensive database for your microservice architecture can act as an anti-pattern due to the tight
coupling of services with the database.
So, the solution is to provide every microservice with separate databases. Each microservice will have a data
store restricted for other services.
#7. Database per microservice

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