REISystem

REISystem is an open-source platform designed to collect, process, and visualize real-time data across heterogeneous enterprise environments. It provides an event-driven data ingestion layer, a rule-based processing engine, analytics modules, and a dashboarding UI. The system aims to unify disparate data sources into a single information layer for monitoring, automation, and decision support.

REISystem was first released in 2010 by a consortium of researchers and developers focused on enterprise information integration. The project is maintained by a community-driven governance model with contributions from academic partners, software vendors, and end-user organizations. New major versions are released on a roughly annual cadence, with long-term support cycles for the LTS releases.

At its core lies a modular architecture comprising a core engine, plug-in adapters for databases, message queues, sensors, and external services, a scalable rule engine, workflow orchestration, and a web-based user interface. It exposes REST and, optionally, GraphQL APIs for integration. Security features include role-based access control, auditing, and encryption of data in transit. The platform supports containerized deployment and orchestration with Kubernetes.

REISystem is used for IT operations monitoring, security information and event management, IoT data aggregation, supply chain visibility, and analytics-driven decision support. It supports on-premises deployments and cloud-based installations, with deployment options leveraging Docker images and Kubernetes clusters for scalability.

The project is released under an open-source license, with commercial licenses available for enterprises seeking additional support. Community forums, official documentation, and issue trackers provide ongoing guidance and development. As with any large enterprise platform, deployment complexity and performance tuning are common topics in user discussions.