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

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

Distributed tracing helps track requests across microservices to find delays.

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

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

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

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

Timeouts in distributed systems indicate suspicion, not confirmed failure.

Choosing the right boundaries for microservices is crucial for effective architecture.

Stateless servers are easier to scale because they don't store user session data locally.

ZooKeeper coordinates distributed systems using an ensemble of servers and the ZAB protocol.