FSerie

FSerie is a modular software framework for building and orchestrating streaming data pipelines and real-time analytics. It emphasizes declarative, composable data flows and efficient execution across diverse runtimes, with stateless processing where possible and pluggable adapters to connect common data systems.

At its core, FSerie uses a graph of processing units called FNodes connected by FLinks. Processing logic is encapsulated in small FBlocks that can be composed in configuration or code. A runtime executes the graph, managing parallelism, state, and fault tolerance.

Key features include adapters for brokers such as Kafka and MQTT, data stores such as PostgreSQL and InfluxDB, and compute backends; stateful processing with windowing; checkpointing; and configurable delivery semantics (at least once or exactly once). Deployments are configuration-driven, with testing and simulation modes, and observability through metrics and traces.

FSerie originated as a community-driven project in the data engineering ecosystem and is released as open-source software under the Apache 2.0 license. Development is collaborative, with maintainers across organizations. Releases follow semantic versioning, and a public roadmap outlines planned enhancements.

Common use cases include real-time analytics, ETL pipelines, event-driven applications, and IoT data ingestion. It is used by mid-sized companies, research groups, and startups seeking scalable streaming architectures. Typical deployments include standalone runtimes or containerized deployments on Kubernetes.

See also: stream processing, data pipelines, and event-driven architecture.