dead-simple distributed work queues in node.js using redis
Promise queue with concurrency control
A shim for the setImmediate efficient script yielding API
fast, tiny `queueMicrotask` shim for modern engines
A modern, high performance Redis client
Compatible version of p-queue
Distributed test runner using Redis as a work queue. Push file paths to a Redis list, then multiple CI runners atomically steal batches and execute them via a configurable command.
A really simple message queue based on Redis
Tiny queue data structure
An async iterable interface for redis streams
Redis utilities for redis instrumentations
Bull / BullMQ queue command line REPL
Job manager
A robust, performance-focused and full-featured Redis client for Node.js.
an opinionated implementation of resque in node
Fast, in memory work queue
A simple, fast, robust job/task queue, backed by Redis.
This package provides support for the [RedisBloom](https://redis.io/docs/data-types/probabilistic/) module, which adds additional probabilistic data structures to Redis.
Simple JS queue with auto run for node and browsers
A work queue, on top of a redis database, with implementations in Python, Rust, Go, Node.js (TypeScript) and Dotnet (C#).
Redis Event Bus Module for Medusa
OpenTelemetry instrumentation for `redis` database client for Redis
The source code and documentation for this package are in the main [node-redis](https://github.com/redis/node-redis) repo.
A simple and lean driver-based service bus implementation
Hard working queues on top of Redis
A work-stealing distributed test runner. Push test file paths to a Redis list, then multiple CI runners atomically steal batches and execute them via a pluggable adapter (CLI for any test runner, or in-process RSpec for maximum performance).
A minimal gem for safely pushing data onto redis and taking it back out in batches of any size. Designed to work well in a multi host/thread environment.
Resque is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. Resque is heavily inspired by DelayedJob (which rocks) and is comprised of three parts: * A Ruby library for creating, querying, and processing jobs * A Rake task for starting a worker which processes jobs * A Sinatra app for monitoring queues, jobs, and workers.
High performance queueing system for Redis that ensures each publishers messages will be processed in order. Designed to work with 100s of thousands of publishers and an arbitrary number of competing consumers that need 0 knoweldge of what producer's message they are handling.
Resque is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. Mongo-Resque is the same thing, but for mongo. It would not exist without the work of defunkt and ctrochalakis on github.
Resque is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. Resque-igo is the same thing, but for mongo. It would not exist without the work of defunkt and ctrochalakis on github. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. Resque is heavily inspired by DelayedJob (which rocks) and is comprised of three parts: * A Ruby library for creating, querying, and processing jobs * A Rake task for starting a worker which processes jobs * A Sinatra app for monitoring queues, jobs, and workers.
Resque-mongo is a fork of resque that uses mongo as a queue backend. Resque is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. Resque is heavily inspired by DelayedJob (which rocks) and is comprised of three parts: * A Ruby library for creating, querying, and processing jobs * A Rake task for starting a worker which processes jobs * A Sinatra app for monitoring queues, jobs, and workers.
Thermos is a Rails caching library that keeps your cache always warm by automatically rebuilding it in the background when ActiveRecord models change. No more stale data from TTL expiration, no more slow cold cache hits, and no need to 'touch' associated models. Works with any ActiveJob backend (Sidekiq, Solid Queue, etc.) and any cache store (Redis, Memcached, Solid Cache, etc.). Perfect for API responses, JSON serialization, and view caching.
RedisRpc is the easiest to use RPC library in the world. (No small claim!). This version is a repackage that only has Ruby implementation. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRpc implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRpc was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRpc and other RPC libraries are likely to have better performance. Instead, RedisRpc has better programmer performance; it lets you get something working immediately.
ResqueAdmin is a Redis-backed Ruby library for creating background jobs, placing those jobs on multiple queues, and processing them later. Background jobs can be any Ruby class or module that responds to perform. Your existing classes can easily be converted to background jobs or you can create new classes specifically to do work. Or, you can do both. ResqueAdmin is heavily inspired by DelayedJob (which rocks) and is comprised of three parts: * A Ruby library for creating, querying, and processing jobs * A Rake task for starting a worker which processes jobs * A Sinatra app for monitoring queues, jobs, and workers.
RedisRPC is the easiest to use RPC library in the world. (No small claim!) It has implementations in Ruby, PHP, and Python. Redis is a powerful in-memory data structure server that is useful for building fast distributed systems. Redis implements message queue functionality with its use of list data structures and the `LPOP`, `BLPOP`, and `RPUSH` commands. RedisRPC implements a lightweight RPC mechanism using Redis message queues to temporarily hold RPC request and response messages. These messages are encoded as JSON strings for portability. Many other RPC mechanisms are either programming language specific (e.g. Java RMI) or require boiler-plate code for explicit typing (e.g. Thrift). RedisRPC was designed to be extremely easy to use by eliminating boiler-plate code while also being programming language neutral. High performance was not an initial goal of RedisRPC and other RPC libraries are likely to have better performance. Instead, RedisRPC has better programmer performance; it lets you get something working immediately.
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