Spring Cloud Research & Evidence-Based Practice 2

Question 1

When benchmarking Spring Cloud Gateway versus Zuul 1, which characteristic does empirical testing most consistently show?

Accepted Answer

Spring Cloud Gateway achieves lower latency under high concurrency because it uses non-blocking Netty

Answer

Spring Cloud Gateway is built on Project Reactor and Netty (non-blocking), which benchmark data consistently shows outperforming Zuul 1's blocking servlet model under high concurrency.

Question 2

A team evaluates Spring Cloud Config Server versus HashiCorp Vault for secrets management. What does evidence-based guidance highlight as their primary distinction?

Accepted Answer

Vault is purpose-built for secret lifecycle management with dynamic secrets and leasing, while Config Server targets general externalized configuration

Answer

Vault specializes in secret lifecycle management (dynamic secrets, leases, revocation), whereas Spring Cloud Config Server focuses on externalized general configuration management.

Question 3

Research into distributed-tracing adoption indicates that which Spring Cloud Sleuth behavior most commonly causes unexpected overhead when moving from development to production?

Accepted Answer

Sleuth propagates trace context, but the default sampling rate of 1.0 used in testing floods the tracing backend in production

Answer

A 100% sampling rate acceptable in development generates enormous trace volumes in production, so best practice is to lower it via spring.sleuth.sampler.probability.

Question 4

Evidence from Netflix's original Hystrix research led to which key insight about designing fallback strategies?

Accepted Answer

Fallbacks should degrade gracefully by returning meaningful cached or default data rather than propagating failure

Answer

Netflix's research showed that graceful degradation via meaningful fallback responses prevents cascading failures better than propagating errors or returning silent null values.

Question 5

When load-testing a Spring Cloud microservices system, which approach yields the most production-representative results?

Accepted Answer

Gatling or k6 combined with service-discovery-aware clients to mirror production routing

Answer

Gatling or k6 can model realistic user journeys, and pairing them with discovery-aware routing mirrors how requests flow in production, giving more actionable benchmark results.

Spring Cloud Practice Test

Spring Cloud Practice Test

Spring Cloud Research & Evidence-Based Practice 2