Streamline client's interactions with system's microservices by providing a single aggregation point that consolidates data and responses from multiple services. This simplifies the client's communication with the system, improving efficiency and reducing complexity.
The API Gateway design pattern aims to provide a unified interface to a set of microservices. It acts as a single entry point for clients, routing requests to the appropriate microservices and aggregating results, thereby simplifying the client-side code.
The Circuit Breaker pattern aims to prevent a software system from making calls to a part of the system that is either failing or showing signs of distress. It is a way to gracefully degrade functionality when a dependent service is not responding, rather than failing completely.
The intent of the Commander pattern in the context of distributed transactions is to manage and coordinate complex transactions across multiple distributed components or services, ensuring consistency and integrity of the overall transaction. It encapsulates transaction commands and coordination logic, facilitating the implementation of distributed transaction protocols like two-phase commit or Saga.
Health Monitoring, Service Health Check
To ensure the stability and resilience of services in a microservices architecture by providing a way to monitor and diagnose their health.
In microservices architecture, it's critical to continuously check the health of individual services. The Health Check Pattern is a mechanism for microservices to expose their health status. This pattern is implemented by including a health check endpoint in microservices that returns the service's current state. This is vital for maintaining system resilience and operational readiness.
Centralize, streamline, and optimize the process of log management so that insights can be quickly
derived, problems can be swiftly identified and resolved, and the system's overall health can be
monitored efficiently.
Real-world example
AWS CloudWatch aggregates logs from various AWS services for monitoring and alerting.
Version Number.
Entity Versioning, Optimistic Locking.
Resolve concurrency conflicts when multiple clients are trying to update same entity simultaneously.
Real world example
Alice and Bob are working on the book, which stored in the database. Our heroes are making
changes simultaneously, and we need some mechanism to prevent them from overwriting each other.
