Which of the following best describes the primary role of an API Gateway in a microservices architecture?
Think about what a single point of contact for clients would do in a system with many small services.
The API Gateway acts as a single entry point for clients. It routes requests to the correct microservice and handles common tasks like authentication, logging, and rate limiting, simplifying client interactions.
In an API Gateway pattern, what is the correct sequence of steps when a client sends a request?
Authentication usually happens before routing the request to a service.
The client first sends the request to the API Gateway. The gateway authenticates the request, then routes it to the correct microservice. The microservice processes it and returns the response to the gateway, which then sends it back to the client.
What is a common scaling challenge when using an API Gateway in a large microservices system?
Consider what happens if one component handles all incoming traffic.
The API Gateway handles all client requests, so if it is not scaled properly, it can slow down the entire system. Proper load balancing and horizontal scaling of the gateway are necessary to avoid bottlenecks.
Which of the following is a tradeoff when implementing an API Gateway pattern?
Think about what happens when you add an extra step in communication.
While the API Gateway simplifies client interactions by centralizing routing and security, it introduces an additional network hop. This can increase latency slightly and requires careful design to minimize impact.
You expect 10,000 client requests per second to your microservices system. Each request passes through the API Gateway, which adds 5ms processing overhead per request. Your microservices handle requests in 50ms on average. What is the minimum number of API Gateway instances needed to keep average API Gateway processing latency under 20ms assuming each instance can handle 2,000 requests per second?
Calculate how many requests per second each instance can handle and divide total load accordingly.
Each instance can handle 2,000 requests per second. For 10,000 requests, you need at least 5 instances (10,000 / 2,000 = 5). This keeps processing latency under 20ms by avoiding overload.