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gRPC allows efficient communication between services using a structured request-response model.

Backpressure helps manage message flow in Kafka during traffic spikes.

Graceful degradation allows apps to function partially during service failures.

Lamport Timestamps help order events in distributed systems while preserving causality.

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

Jitter helps spread out client retries to avoid traffic spikes.

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

Synchronous communication waits for a response, while asynchronous continues without waiting.

Vector clocks help track the order and concurrency of events in distributed systems.

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

Apache Kafka is a system for managing large volumes of events efficiently.

Causality in distributed systems helps understand how events influence each other, beyond just timestamps.

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

In distributed systems, timestamps don't always reflect the true order of events.

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

Fail-stop means a system stops and stays down, while fail-recover means it can come back but needs to be ready.

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

Raft and Paxos are protocols that help computers agree on values in distributed systems.

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