Consider a system where multiple microservices communicate using REST APIs. What is the primary benefit of this approach?
Think about how REST APIs help services stay loosely connected.
REST APIs define clear contracts through endpoints and data formats, allowing each service to change internally without affecting others, promoting independent evolution.
In a microservices architecture using REST APIs, which component helps distribute incoming requests evenly across service instances?
Think about what balances traffic among multiple servers.
A Load Balancer distributes incoming REST API requests across multiple instances of a service to ensure no single instance is overwhelmed.
You notice that a microservice is overwhelmed by REST API calls from other services during peak times. Which approach best helps to scale and avoid bottlenecks?
Think about decoupling services to handle load better.
Using asynchronous messaging reduces direct REST API call load, allowing services to process requests at their own pace and improving scalability.
Using synchronous REST API calls between microservices has benefits and drawbacks. Which option correctly describes a tradeoff?
Consider how waiting for responses affects system behavior.
Synchronous REST calls make it easier to handle errors immediately but can cause delays and cascading failures if a service is slow or down.
A microservice cluster has 5 instances. Each instance can handle 200 REST API requests per second. The load balancer distributes requests evenly. What is the total maximum requests per second the cluster can handle?
Multiply the number of instances by the capacity per instance.
5 instances × 200 requests/second each = 1000 requests/second total capacity.