Goal In this post I am going to show you typical Corlysis usage - real-time visualization sensor data. Lets imagine that you would like to see e.g. temperature in your house from anywhere through Internet. Without Corlysis app you have 2 options. Buy public IP address and configure your own web server or buy virtual machine and install/configure Grafana and InfluxDB. Both options are expensive and proper secure configuration is not easy.
Download raw data from InfluxDB in CSV format Grafana is an amazing visualization tool but sometimes we have to do more complicated offline analysis using e.g. Matlab/Octave or SciPy or Microsoft Excel. For this use-case, it is useful to download raw data in CSV format from InfluxDB. Those CSV data can be easily imported into the data analytics tools. In this short tutorial, I will show you how to do that.
Visualize server data In this very short post I am going to show you how to monitor your server with using InfluxDB + Grafana = Corlysis. It does not matter if you monitor sensor or server data - the principle is still the same so you can also inspire in previous post. Start with connecting to your server and clone Corlysis repository: git clone https://github.com/corlysis/scripts.git And after go to Corlysis app and click to you database to see password and database name.
External Posts: NodeMcu ESP8266 + BME280 Digital Sensor Raspberry Pi + BME280 Digital Sensor NodeMCU ESP8266 + DHT11 Temperature & Humidity Sensor