The TIG (Telegraf, Influx and Grafana) Stack is an acronym for a platform of open source tools built to make collection, storage, graphing, and alerting on time series data easy. In this exercise we are going to set up a TIG-stack using Docker and Docker-compose for easy deployment.
A time series is simply any set of values with a timestamp where time is a meaningful component of the data. The classic real world example of a time series is stock currency exchange price data. When working with IoT-sensors it is often logged in a time series database.

Some widely used tools are:
Telegraf is a metrics collection agent. Use it to collect and send metrics to InfluxDB. Telegraf’s plugin architecture supports collection of metrics from 100+ popular services right out of the box.
InfluxDB is a high performance Time Series Database. It can store hundreds of thousands of points per second. The InfluxDB SQL-like query language included in InfluxDB V1 was built specifically for time series. InfluxQL is a query language that is very similar to SQL and that allows any user to query its data and filter it. In InfluxDB V2 and V3, they make use of their new language Flux, which you can read more about here. Read more about InfluxDB in their documentation: InfluxDB Documentation