The Fabric Management service handles all management activities with the wireless devices and edge gateways in the IoT fabric in a secure and scalable fashion. It provides for fault monitoring of devices, ensures 24/7 availability, delivers network and system wide health reviews and reporting as well as delivering the all important configuration management of the entire system.
Support and fault management
The Data Analysis service provides the tools that are necessary to store, visualize and process IoT data. Our approach is based on the TICK software stack. The TICK stack consists of an open source core of Telegraf, InfluxDB, Chronograph and Kapacitor, available under the MIT license.
The Data Analysis service includes the following three functionalities:
The Archiving functionality builds on InfluxDB (1), an open-source time series database, which is optimized for the rapid and robust storage and retrieval of time series data. Time-series databases far outperform traditional relational databases for typical IoT queries, allowing them to scale to support many thousands of IoT devices per cloud instance.
(1) InfluxDB – the times series database in the TICK stack, https://www.influxdata.com/time-series-platform/influxdb/
The Visualization functionality builds on Grafana(2), an open source analysis and visualization suite. Grafana provides easy-to-configure tools for visualizing IoT data using a wide range of graphical widgets. Grafana also supports the export of data in formats such as excel-compatible spreadsheets.
(2) Grafana – the open platform for analytics and monitoring, https://grafana.com
The Alerting functionality builds on Kapacitor (3), a real-time data processing engine. Kapacitor provides a simple, yet powerful system for configuring alerts based upon IoT data and trends. Kapacitor connects easily to all core communication channels including email, SMS and Slack to support rapid management responses to changing operational conditions.
(3) Kapacitor – the real-time data processing engine in the TICK stack, https://www.influxdata.com/time-series-platform/kapacitor/