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gRPC supports four communication patterns: Unary, Server Streaming, Client Streaming, and Bidirectional Streaming.

Microservices can communicate using five key patterns based on their needs.

Distributed tracing helps track requests across microservices to find delays.

Structured logging helps in quickly identifying issues by organizing log data consistently.

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

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

The Transactional Outbox Pattern ensures database updates and event publishing are synchronized to avoid losing events.

Protobuf schema evolution requires careful changes to avoid breaking existing clients.

Database per Service ensures each microservice owns its data, reducing dependencies.

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

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

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