dead-letter-queue

RedisSMQ: A high-performance Redis message queue for Node.js

GoQueue - The flexible Go job queue that grows with you. Start with in-memory for development, scale to Redis for production, or deploy to AWS SQS for the cloud. Built-in retries, DLQ, middleware pipeline, and observability - everything you need for reliable background processing.

基于 Flutter 和 Gin 的前端分离的记账工具的服务端部分

Supercharge your async applications with tasks so fast, you’ll think you’re bending time itself.

A sample of non-blocking retries and dead letter topics (aka reliable reprocessing and dead letter queues) with Apache Kafka using Spring Boot and Spring Kafka.

Rust Message Queue backed by PostgreSQL, with Rust, Go, Node, Python, PHP, C++, plain HTTP clients. Support consumer group, replay, transactional pop+ack, failover to disk

A lightweight Laravel queue monitoring package that tracks job lifecycle (processing, success, failure) across any queue driver. It provides a simple UI, execution insights, real-time metrics, failure alerts via Slack/email, and supports retries with modified payloads.

A robust, scalable activity queue and worker system for Rust applications with pluggable storage backends.

A Java CDI-native scheduler for persistent jobs with retries, batches, workflows, encryption, and delayed signals.

A tiny go package to manage HTTP requests with dead letter management/retry. Based on go-redis.

Zero-job-loss reliability layer for Celery. Phoenix Pattern worker resurrection, atomic idempotency, graceful shutdown, DLQ, OpenTelemetry. pip install relier

🪝 Durable webhook gateway with Caddyfile-style config. Receive → queue → deliver (pull, push, SSE, or exec). HMAC auth, retries, DLQ, hot reload.

CLI to bring your messages back from SQS Dead Letter Queues.

kafka python microservices retry dead-letter-queue lag-monitoring distributed-systems resilience

A monorepo, microservice setup with full support for CI/CD, kafka as a message broker, inter-service API using service discovery endpoint

Reliable Message Processing with Dead-Letter-Queues Replay

Job scheduler where every retry tells you exactly why it happened. Explicit retry modeling for learning distributed systems.

A production-grade, polyglot distributed order management system demonstrating a Choreographed Saga pattern with Transactional Outboxes, Idempotent Consumers, and explicit Compensation strategies across four independently-owned microservices.

Spring RabbitMQ Dead Letter Queue (DLQ) Example

AI-powered inspector and intelligence platform for Azure Service Bus