Fluxtion for managers and non‑technical readers¶
Fluxtion is a Java library your engineers embed in services to process real‑time data streams with low latency and high reliability. It organizes business logic as a graph of small steps, so when new data arrives, only the necessary parts update. This makes systems faster, simpler to understand, and cheaper to run.
Business benefits¶
- Faster time‑to‑market: developers focus on business rules; Fluxtion handles the plumbing of event delivery.
- Lower running costs: the engine does only the minimum work per event and can be compiled ahead of time for extra speed.
- Predictable behavior: clear, deterministic execution—critical for compliance, operations, and user trust.
- Flexible deployment: no servers to manage—ships as a normal Java library inside your existing services or microservices.
- Infrastructure choice: not tied to Kafka Streams, Flink, or any specific platform—IT can choose or change the messaging/compute stack without rewriting business logic.
When to use it¶
- Real‑time alerts, monitoring, or risk controls
- Live metrics and aggregations from event streams (e.g., transactions, telemetry)
- Enriching and correlating events from multiple data sources
What Fluxtion is not¶
- Not a “big data” cluster or streaming platform. It doesn’t require Kafka Streams, Flink, or Spark (though it can work alongside them).
- Not a database. It computes derived values and signals in memory; persistence is up to your chosen storage.
How teams work with it¶
- Engineers design a dataflow (a directed graph) that represents the business logic.
- The Fluxtion builder analyzes it and generates efficient code that runs inside your service.
- The result is easier to test, predict, and maintain than ad‑hoc event code.