ISGler

ISGler is an open-source, distributed platform designed for collecting, processing, and indexing data from industrial sensor networks. It provides real-time event processing, anomaly detection, and long-term analytics across heterogeneous devices and protocols. The project name stands for Intelligent Sensor Grid Logger, and the system emphasizes low-latency data paths, modular plug-ins, and a pluggable storage layer that can target various time-series databases and archival systems.

The architecture centers on three layers: edge ingesters, streaming processors, and a central storage and query layer. Ingesters support a range of protocols through adapters for MQTT, OPC UA, Modbus, and HTTP. Streaming processors apply lightweight transformations, execute windowed analyses, and run user-defined rules via a domain-specific language. The storage layer offers pluggable backends, including time-series databases and search indexes, with messaging backends such as Kafka or NATS to decouple data producers from consumers.

Data model and extensibility are designed to accommodate diverse industrial contexts. ISGler supports schema-flexible event records, metadata tagging, and a modular plugin system for new device types, analytics functions, and alerting mechanisms. Access control emphasizes multi-tenant deployments and role-based permissions, while security features cover encryption in transit, authentication, and audit logging.

History and development: ISGler emerged from a community effort in the early 2020s to unify fragmented industrial data pipelines. It achieved a stable release in 2021 and has since evolved with enhanced edge deployment, cloud-friendly scalability, and improved observability.

Usage and reception: ISGler is used in manufacturing, energy, and logistics to monitor equipment health, energy usage, and process quality. Supporters value its modularity and protocol breadth; critics point to a steep learning curve and resource demands in large deployments.