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Microservices are useful when you need independent scaling, deployment, and clear boundaries in software design.

Dependency failures can disrupt applications, but resilience patterns can help manage them.

Fallbacks allow systems to handle failures safely and maintain user experience.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Partial failure means some services fail while others keep running, impacting system reliability.

Cascading failures occur when one service's failure impacts others, causing widespread issues.

A Circuit Breaker helps prevent system failures by stopping calls to unhealthy services.

Distributed backpressure helps manage the flow of work between services to prevent overload.

The Circuit Breaker pattern controls service calls to prevent failures from spreading.

Kafka can help ensure messages are processed once, but requires careful design.

Retry storms occur when too many retries overload a failing service.

Backpressure helps manage message flow in Kafka during traffic spikes.