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

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

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

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.

Spring RabbitMQ Dead Letter Queue (DLQ) Example

simple rabbitmq retry mechanism with ttl + dead lettering

Reliably process messages in queue with dead-letter queues in SQS

Serverless image processor built with Go, AWS Lambda, S3, and SQS. Automatically creates thumbnails and medium-sized versions of uploaded images with optimized compression.

Go-based project for idempotent event ingestion, delivery, and replay.

A modern web application for managing Azure Service Bus topics/subscriptions and exploring Cosmos DB data with a clean, intuitive interface.

AWS Lambda solution that automatically creates and manages Dead Letter Queues (DLQs) for EventBridge rules. Ensures failed events are captured for analysis with scheduled reconciliation and real-time enforcement.

Production-ready Go library with 8 essential design patterns: Bloom Filter, Bulkhead, Circuit Breaker, Dead Letter Queue, Pub/Sub, Redlock, Retry, and Worker Pool. Enterprise-grade with security hardening, comprehensive testing, and performance optimization.

Reliable sync worker demo (FastAPI + SQLAlchemy) with DB-backed jobs, leases, retries, DLQ, and replay.

Implementation Fast Search use Meilisearch using CQRS Pattern, CDC pattern, Queue Pattern, Dead Letter Queue and Scheduler Sync Cross DB.