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

Distributed locks ensure only one server performs a task, avoiding duplication.

Message queues allow services to communicate asynchronously, improving scalability and reliability.

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

A timeout indicates a deadline was exceeded, not necessarily a failure.

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

The Saga Pattern manages distributed transactions using local transactions and compensating actions.

RPC allows one service to call a function in another service over the network.

Message delivery semantics define how messages are sent in distributed systems and handle failures.

Distributed tracing helps track requests across microservices to find delays.

Timeouts in distributed systems indicate suspicion, not confirmed failure.

FAANG engineers use high-level design principles to create scalable systems.

The Bulkhead Pattern isolates resources to protect critical workloads from failures.

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

Request-Response asks for a result, while Events notify that something has happened.

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