Google Professional Cloud Developer Question 11
Select 3Google Cloud PlatformYou are developing a microservices-based application on Google Cloud. The application consists of multiple services that communicate with each other using REST APIs. One of the services frequently experiences intermittent failures and latency issues. As a Professional Cloud Developer, how should you design the microservices architecture to handle such failures gracefully and maintain application reliability?
- A
Implement a circuit breaker pattern to stop calling the failing service temporarily after a threshold of failures.
- B
Use Google Cloud Pub/Sub to decouple the services and enable asynchronous communication.
- C
Configure retries with exponential backoff for API calls to the failing service.
- D
Rely on hardcoded failover mechanisms instead of using managed services.
- E
Deploy all services in the same Google Cloud region to reduce latency.
Show answer and explanation
Correct answers: A, B, C
Explanation
In a microservices architecture, designing for failure is critical to ensuring system reliability. The circuit breaker pattern prevents cascading failures by temporarily halting calls to a failing service. Google Cloud Pub/Sub enables asynchronous communication, allowing the system to remain operational even if a service is temporarily unavailable. Retries with exponential backoff are a best practice for handling transient failures in API calls. These strategies collectively improve fault tolerance and application resilience.
- A. Correct.
Implementing a circuit breaker pattern ensures that the failing service is not continuously called, preventing further cascading failures and allowing the system to recover.
- B. Correct.
Using Google Cloud Pub/Sub for asynchronous communication decouples the services, ensuring that the application can continue processing even if one service is temporarily unavailable.
- C. Correct.
Retries with exponential backoff help mitigate transient failures by making fewer, spaced-out retry attempts, which increases the chances of a successful call.
- D. Incorrect.
Hardcoded failover mechanisms are not recommended as they are inflexible and do not leverage the scalability and reliability provided by managed services in Google Cloud.
- E. Incorrect.
Deploying all services in the same region reduces latency but does not address the issue of service failures or ensure reliability in a distributed architecture.