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.

A platform that integrate with third party companies to provide service to the clients SaaS. The main feature of the software is the mechanisms that are been implemented in order to achieve reliable data synchronization between our system and external vendors.

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

Durable per-application work queue with named queues, fenced leases, and atomic follow-up tasks.

Go library for Apache Kafka consumers and producers, built on Sarama, with configurable retries, retry topics, and dead-letter handling.

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.

Security-hardened webhook ingestion & multi-destination delivery gateway (GitHub ➔ Discord, Slack, HTTP) with HMAC-SHA256 verification, durable SQL queueing, fencing leases, smart retries, and DLQ.