9. What is the Event Sourcing Pattern?
Answer:
The Event Sourcing Pattern involves storing the state of a system as a sequence of events. Instead of persisting the current state, all changes (events) are stored, and the current state is derived by replaying these events.
Benefits:
- Provides a complete audit trail of changes.
- Enables temporal queries and state reconstruction.
- Supports complex business logic and workflows.
Use Case:
Suitable for systems requiring auditability and traceability, such as financial applications tracking transactions over time.
10. What is the CQRS (Command Query Responsibility Segregation) Pattern?
Answer:
CQRS separates the read and write operations of a system into different models. Commands (writes) update the state, while queries (reads) retrieve data. This separation allows for optimized and scalable solutions for both operations.
Benefits:
- Improves performance and scalability.
- Simplifies complex business logic.
- Allows independent evolution of read and write models.
Use Case:
Effective in systems with high read/write loads or complex domain models, such as e-commerce platforms managing inventory and orders.
11. What is the Strangler Fig Pattern?
Answer:
The Strangler Fig Pattern involves gradually replacing parts of a legacy system with new microservices. New functionalities are developed as microservices, and over time, the old system is phased out.
Benefits:
- Reduces risk associated with big-bang rewrites.
- Allows incremental modernization.
- Facilitates continuous delivery and integration.
Use Case:
Ideal for organizations transitioning from monolithic architectures to microservices, enabling step-by-step migration.
12. What is the Sidecar Pattern?
Answer:
The Sidecar Pattern involves deploying auxiliary components (sidecars) alongside the main service to provide supporting functionalities like logging, monitoring, or configuration. These sidecars run in the same environment as the main service.
Benefits:
- Enhances modularity and separation of concerns.
- Simplifies the main service by offloading ancillary tasks.
- Facilitates consistent implementation of cross-cutting concerns.
Use Case:
Common in service mesh architectures, where sidecars handle networking, security, and observability tasks for the main services.
By understanding and applying these patterns, you can design and implement robust, scalable, and maintainable microservices architectures. These patterns address common challenges in distributed systems, such as data consistency, fault tolerance, and service coordination.
