What is Taskurai?
Taskurai provides a dedicated, fully managed environment for background processing on Azure, allowing users to install directly from the Azure Marketplace and keep sensitive data private within their own Azure subscription. The platform enables easy setup and maintenance through YAML configuration files and a powerful CLI, with workers and commands written in .NET Core C# using a user-friendly SDK.
With a message-driven approach, Taskurai acts as a central hub for processing asynchronous tasks, enhancing system resilience through loose coupling. It supports serverless containers on a Kubernetes-based platform, allowing tasks to run as needed and scale seamlessly from zero to numerous instances based on volume. The solution offers superior local development experiences without infrastructure setup and provides comprehensive observability for monitoring and analyzing worker logs.
Features
- Dedicated Environment: Install from Azure Marketplace for a fully managed solution that runs in your own Azure subscription, keeping data private
- Easy Setup and Maintenance: Define processing solutions with YAML configuration files and deploy using CLI, with .NET Core C# SDK for workers and commands
- Local Development Experience: Superior local development with no infrastructure setup needed, allowing task isolation and production debugging
- Message Driven: Central hub for processing asynchronous tasks through message or event-driven approach for loose coupling and resilience
- Serverless Containers and Queues: Run serverless containers on Kubernetes platform, scale from zero to numerous instances based on task volume
- Observability: Central view of all background tasks with easy monitoring and analysis of worker logs for all stakeholders
Use Cases
- AI, LLM, ML, and Data processing for preparing datasets
- Document processing in ERP systems
- HR software (HRIS/HRMS) for scalable processing during peak periods
- Manufacturing execution systems (MES) for reliable background processing
- Insurance software modernization with robust background processing
- Offloading non-critical tasks using Async Request-Reply pattern
- Queue-based load leveling for external services
