Grafana Master Course - Time Series Data Visualization

About Grafana Master Course - Time Series Data Visualization

This course requires the following:

An AWS account or any cloud instance for CentOS (optional) available at AWS

Access to AWS CloudWatch to try the demo

Docker Desktop, which can be installed from Docker official website _Note: If you are a Udemy Business user, please consult your employer before downloading any software._

Covers the functionalities as

administrators

,

Devops

Engineer, developers etc

Installation of Grafana in

Linux

,

Windows

as well as using

Docker

Setting up various

Data Sources

within Grafana

Detailed discussion on

Dashboards

,

Panels

and building blocks of Grafana

Adding and Editing of Graphs and

Panels

Detailed discussion on Panels like

Graph

,

Singlestat

,

Table

,

Heatmap

,

Alert List

Dashboard List

Advanced discussion on

Variables

,

Annotations

, Folders, Playlist, Search, Sharing,

Time Range

, Export & Import, Scripted Dashboards, Dashboard Version History

Configuring various data sources like

Graphite

,

Prometheus

,

InfluxDB

,

Elasticsearch

,

AWS

Cloudwatch

,

MySQL

,

OpenTSDB

,

TestData

etc

Advanced discussion on

alert

settings

and

notification

Collaborate

IoT

, Infrastructure and

DevOps

data and Visualize with very intuitive UI using Grafana

Key Functionalities and Features:

1.

Installation and Setup

: Grafana's compatibility with major operating systems like Linux and Windows, along with containerization options using Docker, ensures that it can be deployed in diverse environments seamlessly. This flexibility aids in easy integration into existing workflows and systems. 2.

Data Source Integration

: Setting up various data sources within Grafana, such as Graphite, Prometheus, InfluxDB, and more, allows for a centralized view of metrics and data across different platforms. This integration is crucial for maintaining comprehensive monitoring and analytics. 3.

Dashboard and Panel Configuration

: Grafana's robust dashboard functionality includes the ability to create and modify graphs, panels, and other visual components like Tables, Heatmaps, and Singlestat panels. These tools help in distilling large datasets into readable and actionable insights. 4.

Advanced Features

: Discussions on advanced features like variables, annotations, and scripted dashboards enhance Grafana’s utility by allowing customization and dynamic responses based on user interactions or predefined scripts. 5.

Alerting and Notifications

: With advanced alert settings, Grafana helps in proactive monitoring and immediate response to system anomalies or performance issues, which is essential for maintaining system reliability and performance. 6.

Collaboration and Visualization

: The ability to collaborate on IoT, infrastructure, and DevOps data, and visualize it through an intuitive UI, makes Grafana an invaluable tool for teams aiming to streamline operations and enhance decision-making processes.