Change Data Capture: Real-Time Database Tracking with CDC
CDC tracks database changes and streams them to downstream systems. Learn how Debezium, log-based CDC, and trigger-based approaches work.
Posts tagged with #kafka
Dead Letter Queues: Handling Message Failures Gracefully
Design and implement Dead Letter Queues for reliable message processing. Learn DLQ patterns, retry strategies, monitoring, and recovery workflows.
Exactly-Once Semantics in Stream Processing
Exactly-once ensures each event processes without duplicates or loss. Learn how it works, when you need it, and the true cost of implementation.
Schema Registry: Enforcing Data Contracts
Learn how Schema Registry prevents data incompatibilities in distributed systems, supports schema evolution, and enables reliable streaming pipelines.
Exactly-Once Delivery: The Elusive Guarantee
Explore exactly-once semantics in distributed messaging - why it's hard, how Kafka and SQS approach it, and practical patterns for deduplication.
Ordering Guarantees in Distributed Messaging
Understand how message brokers provide ordering guarantees - from FIFO queues to causal ordering across partitions, and trade-offs in distributed systems.
Apache Kafka: Distributed Streaming Platform
Learn how Apache Kafka handles distributed streaming with partitions, consumer groups, exactly-once semantics, and event-driven architecture patterns.