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.
Send Transactional Emails with SMTP in Python, Node.js
Learn to send transactional and bulk emails via SMTP with Python, Node.js, and Java. Covers auth,...
Redis Pub/Sub for Cross-Process Messaging
Use Redis pub/sub channels to broadcast events between processes, handle subscriptions, and...
Dead Letter Queues
Handle failed messages gracefully with dead letter queues, retry policies, and poison pill...
Event-Driven Microservices
Design event-driven microservices with message brokers, event sourcing, CQRS, and eventual...
Implement Event Sourcing with CQRS in Python
Build an event-sourced system with CQRS separation using Python, event store persistence,...
Event Streaming with Apache Kafka and Node.js
Build growth-ready event-driven systems using Apache Kafka with producers, consumers, consumer...
Kafka Consumer Groups with Python for Scalable Streaming
Create Kafka consumer groups in Python with partition assignment, offset management, commit...
Consume Kafka Topics with Spring Boot Stream Listeners
Build Kafka consumers in Spring Boot using @KafkaListener annotations, concurrent consumers, error...
Message Processing Idempotency
Make message processing idempotent so duplicate deliveries don't trigger side effects in...
Implement the Transactional Outbox Pattern for Reliable
Use the transactional outbox pattern to reliably publish domain events alongside database changes,...
Distribute Background Tasks with Python Celery and Redis
Set up Celery with Redis broker for distributed task processing including task chaining, groups,...
Configure Dead-Letter Queues in RabbitMQ for Failed Messages
Set up dead-letter queues and exchanges in RabbitMQ with TTL expiry, max length limits,...
Build a RabbitMQ Consumer with Python and Pika
Create a RabbitMQ consumer and producer in Python using pika with durable queues, work dispatching,...
Task Queues and RPC with RabbitMQ and AMQP
Distribute background tasks and implement request-reply patterns with RabbitMQ using durable...
Implement Redis Pub/Sub Messaging in Python
Build real-time pub/sub messaging with Redis and Python including pattern subscriptions, message...
Event-Driven Lambda with SQS Triggers and Batch Processing
Process SQS messages with Lambda using batch windows, partial batch responses, error handling, and...
Claim Check Pattern
Store large payloads in external storage and pass only a lightweight reference token through the...
Compensating Transaction Pattern
Undo the effects of a completed transaction by executing a counter-operation, enabling eventual...
Dead Letter Channel Pattern
Route unprocessable messages to a separate dead letter queue for inspection and replay. Prevent...
Event-Carried State Transfer Pattern
Replicate state changes across services by publishing events that carry the full updated entity...
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