Taskurai
IronWorker
Inngest
Sidekiq
Hangfire
Kubernetes
Spot.io
AWS Lambda
Google Cloud Functions
Google App Engine
Salesforce Platform
Dokku
AWS Lambda
Azure Web Apps
Now Platform
AWS Elastic Beanstalk
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, Google Cloud Functions seems to be more popular. It has been mentiond 42 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.
The FaaS platform gained a lot of popularity which resulted in many competitors. There was OSS providers like OpenFaaS or Fission. There were of course the commercial versions to like Azure Functions and Google Cloud Functions. - Source: dev.to / 3 days ago
One of the issues developers can encounter when developing in Cloud Functions is the time taken to deploy changes. You can help reduce this time by dynamically loading some of your Python classes. This allows you to make iterative changes to just the area of your application that you’re working on. - Source: dev.to / 6 months ago
I've been looking at Google Secret Manager which sounds promising but I've not been able to find any examples or tutorials that help with the actual practical details of best practice or getting this working. I'm currently reading about Cloud Functions which also sound promising but again, I'm just going deeper and deeper into GCP without feeling like I'm gaining any useful insights. Source: 7 months ago
Serverless computing was also introduced, where the developers focus on their code instead of server configuration.Google offers serverless technologies that include Cloud Functions and Cloud Run.Cloud Functions manages event-driven code and offers a pay-as-you-go service, while Cloud Run allows clients to deploy their containerized microservice applications in a managed environment. - Source: dev.to / 10 months ago
Lambda is made for your use case :). It doesn’t have to be AWS there are plenty of other serverless computing services like: - Google cloud functions - Azure functions Etc. Source: 11 months ago
IronWorker - IronWorker is a task processor for applications that isolates the code and dependencies of individual tasks to be processed on demand.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Inngest - Application and Data, Application Hosting, and Serverless / Task Processing
Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.
Sidekiq - Sidekiq is a simple, efficient framework for background job processing in Ruby
Dokku - Docker powered mini-Heroku in around 100 lines of Bash