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Elasticsearch Data Streams simplify time-series data management with one name for many indices.

Elasticsearch offers Data Streams for simplicity and Time-Based Indices for control in managing time-series data.

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

Queues distribute tasks to one consumer, while Pub/Sub broadcasts events to multiple subscribers.

Backpressure helps manage message flow in Kafka during traffic spikes.

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

Kafka consumer lag shows how far behind consumers are from new messages.

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

Graceful shutdown in Kafka ensures no data loss during consumer termination.

Classifying failures and using controlled retries in Kafka prevents outages.