Overview
OptiFlow is a robust data pipelining tool designed to empower developers with a seamless and low-overhead environment for creating recurring jobs in C#. At its core, OptiFlow focuses on providing a flexible platform for data ETL (Extract, Transform, Load) between diverse environments. Additionally, it serves as a versatile scheduler for any recurring job crafted in C# using the OptiFlow toolkit.
Key Features:
C# Integration: OptiFlow streamlines the development process by requiring developers to construct dotnet console applications utilizing the OptiFlow toolkit. This console application, known as a Workflow Group, serves as a container for multiple workflows.
Workflow Flexibility: Developers can structure Workflow Groups with multiple workflows, offering a scalable and organized approach to managing recurring tasks. Simple data annotations within the application enable OptiFlow to effortlessly discover and identify all workflows contained within a Workflow Group.
Scheduling Simplicity: OptiFlow excels in simplifying the scheduling of recurring jobs. By leveraging Kubernetes as the underlying infrastructure, the main OptiFlow server seamlessly schedules Kubernetes Jobs for each workflow execution. This ensures efficient resource management and optimal utilization of the Kubernetes environment.
Resource Cleanup and Reporting: OptiFlow takes care of the entire lifecycle of workflow execution. This includes not only scheduling but also managing resource cleanup after each job. The tool provides comprehensive reporting and metrics for workflows, aiding developers in monitoring and optimizing their data pipelines.
Kubernetes Compatibility: With the main OptiFlow server running in Kubernetes, the tool aligns with modern container orchestration standards. This allows for easy integration into Kubernetes environments, providing scalability and resilience.
In summary, OptiFlow stands out as a user-friendly, efficient, and versatile data pipelining tool. By seamlessly integrating with C# and Kubernetes, it empowers developers to build and manage recurring jobs with ease, facilitating the smooth flow of data across unlimited environments.
Key Technologies
- Quartz .NET (Scheduling) - This is at the heart of the OptiFlow schedule process.
- Blazor Apex Charts (Metrics) - Used for charting workflow execution metrics.
- Blazor Diagrams (Workflow Operation View) - Used for displaying workflow Operation layout.
- Parquet .NET Serializer (Report Storage) - Used for storing sampling report data that is emitted from Workflow Operations