
Grafana is an open source platform for building dashboards and monitoring. Connect to 200 data sources with cloud or local versions and a free plan for dashboards, visualizations, and alerts.
Build an interactive Grafana dashboard by integrating a data source, formatting the data, and visualizing daily sales, best selling product, and monthly markets for a Latin America retail case study.
Set up Grafana alerts to monitor daily revenue against a 180,000 threshold, assign a label, and configure notification policies for immediate alerts.
Welcome!
This course is designed for anyone who wants to learn about Grafana and system monitoring. The course is aimed at providing hands-on training for students to create interactive dashboards, integrate with various data sources, and perform monitoring functions through alerts and notifications. The course covers the use of Grafana, starting from the basics and progressing to an advanced level. The teaching approach is practical and focused on case studies and screen sharing, making it an effective learning experience.
The course covers a range of topics, including:
Setting up an account and using local and cloud instances of Grafana
Integrating Grafana with various data sources, such as Prometheus and databases
Data treatment and analysis in Grafana
Creating custom visualizations and charts
Building interactive dashboards
Configuring alerts and notifications
Managing users in Grafana
SQL logic
Installing and understanding the architecture of Prometheus
No prior knowledge of Grafana is required for this course. The steps are demonstrated in a clear, concise and practical manner, with best practice recommendations and tips for using the tool. All features covered in the course can be used with the free version of Grafana and Elephant SQL.
Grafana is a widely used open-source solution for monitoring and visualizing data, available in both cloud and local versions. With this Udemy course, students will be equipped with the skills to effectively use Grafana to monitor their systems and make informed decisions based on data insights.