How to Setup a Grafana Dashboard Step-by-Step | Grafana Tutorial for Beginners скачать в хорошем качестве

How to Setup a Grafana Dashboard Step-by-Step | Grafana Tutorial for Beginners

In this video we show you how to install Grafana and create dashboards step-by-step. Grafana is an open source platform that is used for data monitoring, analysis, and data visualization. One of the major features of Grafana is it's ability to bring several different data sources together on a single dashboard. Grafana allows you to represent data in different forms like, charts, graphs, and also allows you to send alerts. Apart from that, it supports many OS's including Ubuntu and Windows. It also supports multiple data sources. This video shows you how to download and install Grafana for Ubuntu 20.04. Below are the commands you can run in order to download and install Grafana for Ubuntu 20.04. wget -q -O - https://packages.grafana.com/gpg.key | sudo apt-key add - sudo add-apt-repository "deb https://packages.grafana.com/enterpri... stable main" sudo apt update sudo apt install grafana sudo systemctl start grafana-server sudo systemctl status grafana-server sudo systemctl enable grafana-server Download and installation commands for influxDB for Ubuntu 20.04 wget qO https://repos.influxdata.com/influxdb... | sudo apt-key add - source /etc/lsb-release echo "deb https://repos.influxdata.com/debian $(lsb_release -cs) stable" | sudo tee /etc/apt/sources.list.d/influxdb.list sudo apt-get update && sudo apt-get install influxdb sudo systemctl unmask influxdb.service sudo systemctl start influxdb influxd -config /etc/influxdb/influxdb.conf This video also shows you an example of how you can add data sources and attach them to Grafana. Below is the code which you can use for your python file. import pandas as pd from influxdb import InfluxDBClient client= InfluxDBClient (host= "localhost",port=8086) client.switch_database("corona19") df=pd.read_csv("countries.csv.1") df.dropna(inplace=True) print (df.shape) for rwo_pk, row in df.iloc[1:].iterrows(): json_body=[{ "measurement": "CovidMap", "tags": {"country":row[0]}, "fields": { "name":row[0], "country":row[1], "latitude":row[2], "longitude":row[3], "metric":row[4], } }] client.write_points(json_body) print("done") ------------------------------------------------------------------------------------------------------------------------- ***Career Resources*** ❗️ Cybersecurity, Hacking, & Cloud Courses 👉 https://skillsbuildtraining.com/ To get more of our best content on IT careers and IT certifications, go to https://skillsbuildtraining.com/blog Be sure to leave any questions or comments below! See More Videos and Subscribe:    / @skillsbuildtraining   Website: https://skillsbuildtraining.com/ Facebook:   / skillsbuildtraining