messaging
Practical resources about messaging for software engineers.
40 results
Connecting Systems with Messages and Events
When direct API calls become bottlenecks, messaging patterns provide the decoupling and resilience needed for distributed systems. Message queues, event buses, and stream processors handle backpressure, retries, and eventual consistency.
This collection covers recipes for implementing pub/sub patterns, using message brokers like RabbitMQ and Kafka, designing event-driven architectures, and handling dead letter queues. Each pattern includes failure scenarios and recovery strategies.
Event-Carried State Transfer Pattern
Replicate state changes across services by publishing events that carry the full updated entity...
Idempotent Consumer Pattern
Process messages from a queue exactly once regardless of duplicates by using idempotent operations,...
Inbox Pattern
Use a dedicated inbox table or queue to record incoming events or requests, ensuring reliable...
Message Deduplication Pattern
Prevent duplicate processing by tracking message IDs with idempotency keys. Consumers check a store...
Message Deferral Pattern
Delay message processing to a scheduled time. Move messages that cannot be processed now to a...
Message Queue Load Leveling Pattern
Smooth traffic spikes by placing a queue between a producer and a consumer. The producer writes at...
Publish-Subscribe Pattern
Broadcast events to multiple independent subscribers. Publishers send messages to a topic without...
Queue-Based Load Leveling: Smooth Traffic Spikes
Use Queue-Based Load Leveling to decouple producers and consumers, absorb traffic spikes, and...
Sequential Convoy Pattern
Preserve message ordering for related messages in a distributed system by routing each entity's...
Dead Letter Queue Runbook
Operational runbook for triaging, fixing, and replaying dead letter queue messages in Kafka and...
Kafka Topic Naming Convention Template
Template for standardizing Kafka topic names across teams: naming patterns, environment prefixes,...
Message Schema Evolution Policy (Avro, Protobuf, JSON)
A reusable policy for evolving message schemas safely in event-driven systems: compatibility rules,...
RabbitMQ Queue Design Template
Template for documenting RabbitMQ queue, exchange, and binding design: exchange types, queue...
Complete Guide to Kafka Stream Processing
Build real-time event pipelines with Kafka: producers, consumers, Kafka Streams, Connect, schema...
Complete Guide to Microservices Communication
Compare sync vs async communication patterns for microservices. Covers REST, gRPC, message queues,...
Stream Processing: Event-Driven Data Pipelines with
A practical guide to stream processing: choosing between Kafka Streams, Flink, and Spark Streaming,...
Complete Guide to Event-Driven Systems
Design event-driven backends: event sourcing, CQRS, sagas, outbox pattern, idempotency, eventual...
Complete Guide to Apache Kafka in Production
Operate Apache Kafka in production: partitions, replication, consumer groups, tuning, monitoring,...
RabbitMQ Architecture: Exchanges, Queues and Clustering
Design and operate RabbitMQ for reliable messaging. Covers exchanges, queues, bindings, routing...
Message Queues — RabbitMQ, Kafka, and SQS detailed analysis
A thorough guide to message queues: when to use RabbitMQ, Kafka, or SQS. Covers patterns,...
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