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, Helm.sh seems to be more popular. It has been mentiond 135 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.
Kubernetes Documentation: https://kubernetes.io/docs/home/ Kubernetes Tutorials: https://kubernetes.io/docs/tutorials/ Kubernetes Community: https://kubernetes.io/community/ Prometheus: https://prometheus.io/ Grafana: https://grafana.com/ Elasticsearch: https://www.elastic.co/elasticsearch/ Kibana: https://www.elastic.co/kibana Helm: https://helm.sh/ Prometheus Helm Chart:... - Source: dev.to / 17 days ago
Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster. - Source: dev.to / about 2 months ago
It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity. - Source: dev.to / 4 months ago
Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to... - Source: dev.to / 4 months ago
Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the... - Source: dev.to / 4 months ago
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