Any concept.
clear in 60 seconds.

Older offsets can overwrite newer ones in Kafka if not handled properly.

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

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

Backpressure prevents system overload by managing message processing rates in Kafka.

Kafka uses retry topics and delayed retries to manage message failures efficiently.

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

Backpressure helps manage message flow in Kafka during traffic spikes.

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

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

Fetch limits control data size from Kafka, while poll records limit processed records.

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

Kafka consumer offsets help track message processing to avoid loss and duplication.

Classifying failures and using controlled retries in Kafka prevents outages.

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

Token Bucket allows burst traffic, while Leaky Bucket smooths out traffic flow.

Latency is the time for one request, while throughput is how many requests are processed.

Search engines collect, index, retrieve, and rank documents to provide relevant results.

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

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

Kafka uses Dead Letter Topics to handle messages that repeatedly fail processing.

Latency, throughput, and response time are key metrics in system performance.

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

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