The Circuit Breaker pattern is a critical Java design pattern that helps ensure fault tolerance and resilience in microservices and distributed systems. Using Circuit Breaker, it is possible to prevent a system from repeatedly trying to execute an operation likely to fail, allowing it to recover from faults and prevent cascading failures.
The intent of the Commander pattern in Java, especially in the context of distributed transactions, is to manage and coordinate complex transactions across multiple distributed components or services. This pattern ensures data consistency and integrity in distributed systems, making it crucial for microservices architecture. It encapsulates transaction commands and coordination logic, facilitating the implementation of distributed transaction protocols like two-phase commit or Saga.
The Health Check pattern in Java is designed to proactively monitor the health of individual software components or services, allowing for quick identification and remediation of issues that may affect overall system functionality in microservices architectures.
The Microservices Aggregator pattern helps aggregate responses from multiple microservices into a single unified response, optimizing client-server interactions in scalable systems.
The API Gateway design pattern aims to provide a unified interface to a set of microservices within a microservices architecture. It acts as a single entry point for clients, routing requests to the appropriate microservices and aggregating results, thereby simplifying the client-side code.
Compose user interface from independently deployable microservices on the client side for greater flexibility and decoupling.
Provide a mechanism to trace and correlate requests as they traverse multiple microservices in a distributed system, enabling end-to-end visibility and easier troubleshooting.
Ensure that consuming the same message multiple times does not cause unintended side effects in a microservices-based architecture.
Log Aggregation is a crucial microservices design pattern that centralizes the collection, storage, and analysis of logs from multiple sources, facilitating efficient monitoring, debugging, and operational intelligence.
Defines a one-to-many dependency between objects, enabling automatic notification of multiple subscribers when a publisher's state changes or an event occurs.
