FlowSource

FlowSource is a software platform designed to manage the flow of data and control signals through distributed systems. It provides a framework for defining, composing, and executing data processing pipelines and workflow graphs, with an emphasis on real-time streaming, visibility, and reliability. The project aims to simplify the construction of complex data flows by offering modular components and a declarative configuration model.

Core architecture centers on a runtime engine that executes flow graphs, a library of connectors to common data sources and sinks, and tooling for scheduling, state management, and observability. Flows can be defined using a domain-specific language or higher-level configuration and are designed to be portable across on-premises and cloud environments. The system supports modular backends for storage, messaging, and compute.

Key features include streaming and batch processing, backpressure handling, fault tolerance with checkpoints, and support for exactly-once processing modes in certain configurations. It offers a visual designer and a command-line interface for authoring flows, as well as dashboards for monitoring throughput, latency, and error rates. Extensibility is provided through pluggable connectors and custom processors.

FlowSource is used in data integration, event processing, and IoT pipelines across industries. It is commonly deployed in cloud-native architectures and can integrate with message queues, databases, file storage, and analytics services. Adoption tends to reflect needs for end-to-end visibility and resilient processing in distributed environments.

Development and governance of FlowSource are community-driven, with contributions from individuals and organizations. The project has evolved through multiple releases and iterations, with documentation and sample flows that illustrate common patterns in data orchestration and streaming analytics.