With the growth of micro-service-based architectures, the points of failure have distributed across multiple applications and servers. This raises a need for an active monitoring solution that helps the administrators and the application developers to know the failures before even the users of the systems notice them. In this blog, we briefly introduce the responsibilities of the monitoring system followed by brief guidance to the Prometheus and Loki based monitoring infrastructure.

In LinkSmart IoT Hackathon 2018 - Part 2, we stored and aggregated our room ambience data in LinkSmart Historical Datastore and visualized the data using Grafana and the Grafana Datasource Plugin for Historical Datastore. With the goal of performing data aggregation and analysis as well as implementation of stimulus-response, in the third part of our Hackathon you will

In LinkSmart IoT Hackathon 2018 - Part 1, we setup the LinkSmart Device Gateway to collect temperature and humidity data from a DHT22 sensor on a Raspberry Pi. The collected data was exposed over a RESTful API and published periodically to a MQTT broker.

The LinkSmart team is proud to announce Broetchen API. Major releases are maintained to ensure that the involved services are interoperable, well documented and ready to use. Services of a major release work standalone but can also be integrated into a consistent LinkSmart platform deployment.

Here, we compare two major OGC SensorThings implementations:

The goal of this Hackaton is to become familiar with several LinkSmart components and at the same time, create something useful.