Tag: rabbitmq

Build growth-ready event-driven systems using Apache Kafka with producers, consumers, consumer groups, and exactly-once semantics for reliable asynchronous messaging

Design idempotent message processors that safely handle duplicate deliveries without side effects in async and event-driven systems.

Set up dead-letter queues and exchanges in RabbitMQ with TTL expiry, max length limits, rejection-based routing, and retry patterns for resilient messaging.

Create a RabbitMQ consumer and producer in Python using pika with durable queues, work dispatching, acknowledgments, dead-letter exchanges, and prefetch tuning.

Implement reliable task distribution and request-reply patterns using RabbitMQ with durable queues, dead-letter exchanges, and prefetch for controlled concurrency

Runbook for handling and replaying dead letter queue messages in Kafka and RabbitMQ: DLQ setup, inspection procedures, root cause analysis, replay strategies, monitoring alerts, and automation scripts for failed message recovery.

Template for documenting RabbitMQ queue, exchange, and binding design: exchange types, queue properties, binding rules, dead letter handling, TTL policies, and capacity planning with code examples.

Design and operate RabbitMQ for reliable messaging. Covers exchanges, queues, bindings, routing patterns, dead letter queues, clustering, and production best practices for high-throughput workloads.

A thorough guide to message queues: when to use RabbitMQ, Kafka, or SQS. Covers patterns, throughput, ordering, and operational considerations.