Resque
Sidekiq
Hangfire
delayed_job
Enqueue It
RabbitMQ
Apache Kafka
Amazon SQS
Taskurai
IronWorker
Inngest
Sidekiq
Hangfire
Kubernetes
Spot.io
AWS Lambda
Taskurai provides an easy-to-setup, scalable platform to run background tasks or jobs using serverless queues and containers. Taskurai offers a convenient way to offload workloads to asynchronous tasks, resulting in more scalable and responsive systems. No deep technical knowledge is needed to run background workers using Taskurai.
Taskurai is built on the foundation of powerful open-source technology in the Kubernetes ecosystem and abstracts the overhead of infrastructure management and orchestration.
Key Features - Easy setup of workers and commands - Serverless setup, no need to set up and maintain any infrastructure or queues - Seamless horizontal scaling (up to 300 worker instances), up to 100 cores in total (depending on your plan), can scale down to zero instances - Keep your existing API fast and responsive, move tasks out of the critical path - Uniform way of creating and following up on tasks - Easy local development experience, isolate your own tasks - Your code runs in actual containers (on Linux) and can contain any kind of solution, not restricted to limitations of functions. Your code can run as long as needed
Usage patterns Taskurai supports various common usage patterns for task processing systems using microservices, as utilized by our customers: - Offloading Non-Critical Tasks (Asynchronous Pattern) - Background processing - Load leveling
Powerful out-of-the-box Run on the foundations of a fully managed powerful Kubernetes-based application platform. Concentrate on your business logic, not technical feats. Serverless setup, no need to setup and maintain any infrastructure.
Build your applications with a powerful and easy to use .NET SDK, designed to be robust and resilient, equipped with automatic and configurable retry patterns.
Resque TaskuraiNo features have been listed yet.
Taskurai's answer:
Taskurai is designed to run fully managed in your own Azure environment. You do not depend on external SaaS services to run your workloads, enabling you to access your internal resources easily. Taskurai is built by engineers who have over 25 years of experience running task processing solutions in large international organizations, giving you a strong foundation to run a scalable business.
Taskurai's answer:
Taskurai is designed to be a robust and enterprise-ready solution. You can easily run it on a powerful Kubernetes platform without the need for deep technical skills. Your code runs in actual containers (on Linux) and can encompass any kind of solution, not restricted to the limitations of functions. Your code can run as long as needed. Workers can be automatically scaled from zero up to 300 instances, depending on the number of tasks in the queue
Taskurai's answer:
Taskurai is build on the foundation of the Kubernetes ecosystem and Azure components. Build your applications with a powerful and easy to use .NET SDK, designed to be robust and resilient, equipped with automatic and configurable retry patterns.
Taskurai's answer:
Taskurai is built by experienced engineers who have built task-driven software for nearly 25 years for various international companies. Our implementations are running worldwide in industrial plants (textile, machine construction, ...) and corporate companies (HR, finance, ...).
Taskurai is designed to give you state-of-the-art tools to let your applications scale with ease, offering fully managed environments so you can focus on your core business, not technical feats.
Taskurai's answer:
Taskurai is built by experienced engineers who have built task-driven software for nearly 25 years for various international companies. Our implementations are running worldwide in industrial plants (textile, machine construction, ...) and corporate companies (HR, finance, ...).
Taskurai's answer:
Our typical customers range from startups to big corporate organizations. Any solution that needs to scale, having various tasks that could be offloaded—such as sending emails, processing orders, file processing—has a significant benefit from using an asynchronous task processing solution like Taskurai.
Other typical usage patterns include background processing (for example, generating monthly subscription invoices, monthly payslip generation, aggregations, ...).
Systems that experience peak usage can benefit from load leveling using the queues offered by Taskurai.
Based on our record, Resque seems to be more popular. It has been mentiond 5 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can use a background job queue like Resque to scrape and process data in the background, and a scheduler like resque-scheduler to schedule jobs to run your scraper periodically. Source: almost 2 years ago
So how do we trigger such a long-running process from a Rails request? The first option that comes to mind is a background job run by some of the queuing back-ends such as Sidekiq, Resque or DelayedJob, possibly governed by ActiveJob. While this would surely work, the problem with all these solutions is that they usually have a limited number of workers available on the server and we didn’t want to potentially... - Source: dev.to / about 2 years ago
Background jobs are another limitation. Since only the Aha! Web service runs in a dynamic staging, the host environment's workers would process any Resque jobs that were sent to the shared Redis instance. If your branch hadn't updated any background-able methods, this would be no big deal. But if you were hoping to test changes to these methods, you would be out of luck. - Source: dev.to / about 2 years ago
The Schedules worker corresponds to the appwrite-schedule service in the docker-compose file. The Schedules worker uses a Resque Scheduler under the hood and handles the scheduling of CRON jobs across Appwrite. This includes CRON jobs from the Tasks API, Webhooks API, and the functions API. - Source: dev.to / about 3 years ago
There are a few of popular systems. A few need a database, such as Delayed::Job, while others prefer Redis, such as Resque and Sidekiq. - Source: dev.to / about 3 years ago
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
IronWorker - IronWorker is a task processor for applications that isolates the code and dependencies of individual tasks to be processed on demand.
Hangfire - An easy way to perform background processing in .NET and .NET Core applications.
Inngest - Application and Data, Application Hosting, and Serverless / Task Processing
delayed_job - Database based asynchronous priority queue system -- Extracted from Shopify - collectiveidea/delayed_job
Enqueue It - Easy and scalable solution for manage and execute background tasks seamlessly in .NET applications. It allows you to schedule, queue, and process your jobs and microservices efficiently.