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.
Posts tagged with #messaging
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.
AWS SQS and SNS: Cloud Messaging Services
Learn AWS SQS for point-to-point queues and SNS for pub/sub notifications, including FIFO ordering, message filtering, and common use cases.
Apache Kafka: Distributed Streaming Platform
Learn how Apache Kafka handles distributed streaming with partitions, consumer groups, exactly-once semantics, and event-driven architecture patterns.
Event-Driven Architecture: Events, Commands, and Patterns
Learn event-driven architecture fundamentals: event sourcing, CQRS, event correlation, choreography vs orchestration, and implementation patterns.
Message Queue Types: Point-to-Point vs Publish-Subscribe
Understand the two fundamental messaging patterns - point-to-point and publish-subscribe - and when to use each, including JMS, AMQP, and MQTT protocols.
Publish/Subscribe Patterns: Topics, Subscriptions, and Filtering
Learn publish-subscribe messaging patterns: topic hierarchies, subscription management, message filtering, fan-out, and dead letter queues.
RabbitMQ: The Versatile Message Broker
Explore RabbitMQ's exchange-queue-binding model, routing patterns, dead letter queues, and how it compares to Kafka for different messaging workloads.