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.
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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, Spot.io seems to be more popular. It has been mentiond 1 time 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.
+1 In my previous stint, I had worked with Spot (https://spot.io/) as one of our vendors. Absolutely great product, amazing customer support and ability to take feature requests, or otherwise address our pain points quickly and effectively. - Source: Hacker News / about 1 month ago
FWIW, I am also a big spot.io fan for our workload. During the holidays I run 30-50% spot instances and run 100% spot most of the year. Source: over 1 year ago
Also, you definitely should look into Reservations, and (sale pitch coming) Spot can help you manage those. Source: over 1 year ago
All of this is on spot-instances. We used spot.io (I believe the product is called "Ocean") and they basically took care of all the backend logic to make spot-instances available for the ECS cluster. Source: about 2 years ago
Does cloud provider matter? I would say/think so. Not just cloud provider, but further more, how you set it up, which begets cloud provider. Are you setting it up with only the aws cli? Or did you terraform it? Maybe you chose a particular terraform module or maybe you used eksctl. Maybe you used kops or kubeadm. All these things matter when you get to cluster autoscaling, tainting particular node types to... Source: almost 3 years ago
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