Grafana Master Course - Time Series Data Visualization
Last updated 3/2025
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 3h 25m | Size: 1.4 GB
What you'll learn
Query, Visualize, Alert on and Understand Metrics using Grafana
Create, Explore and Share Grafana Dashboards
Integrate Grafana with Various Data Sources like Graphite, InfluxDB, MySQL, OpenTSDB, Elasticsearch, CloudWatch, Prometheus, etc.,
Configuring different Panels, Data Source, Alerts within Grafana
Configure Graphite Data Source with Grafana
Configure collectd data collector for Grafana Visualization
Requirements
Having a Linux or Windows system to install various software
Description
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
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.
Who this course is for
Data Analysts - Apps, Infra, Data Visualization
DevOps Engineer - Infra monitoring
Infrastructure and Hardware monitoring
IoT Engineer
Time Series data analysts
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