Microservices database patterns address distributed architecture's problems with consistency and data management.
Encapsulate data in microservices by giving each service a private database that can only be accessed via the API that it has been assigned.
Shared databases, typically best suited for modernizing legacy apps, possibly support a small number of microservices but run the risk of growth and autonomy issues.
CQRS, or Command and Query Responsibility Segregation, is a pattern that divides a data store's read and update processes. You may optimize your application's scalability, security, and performance by implementing CQRS.
The saga pattern is a failure management technique that assists in coordinating transactions across several microservices to preserve data consistency and aids in establishing consistency in distributed systems.
Upon SEC recovery, logs are used to identify and compensate components in reverse chronological order. The Saga Execution Coordinator (SEC) is responsible for monitoring a Saga log, identifying impacted components, and compensating transaction sequences in the event of failure.