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Service Discovery helps microservices locate each other dynamically without fixed IP addresses.

DNS helps microservices find each other, but it has limitations that may require a service registry.

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.

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

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.

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

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.

ZooKeeper watches notify clients of changes, avoiding constant polling and reducing server load.