Replay and Reprocessing in Event-Driven Systems
Learn how to replay event streams safely, choose offsets and cursors, isolate side effects, and recover projections without confusing replay with retry.
Posts tagged with #kafka
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.
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 the 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.