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.

High-performance transactional message broker for applications that need an ordered stream per entity.

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

Event-driven messaging library for RabbitMQ in Python - declarative consumers via decorators, automatic DLQ and routing keys, multi-broker abstraction