Welcome to my course on Grafana! Grafana is an analytics platform for all of your metrics. Grafana allows you to query, visualize, alert on and understand your metrics no matter where they are stored. Create, explore, and share dashboards with your team and foster a data driven culture. Trusted and loved by the community. This is a Learn by example course, where I demonstrate all the concepts discussed so that you can see them working, and you can try them out for yourself as well.
Grafana
6h 40m 18s
English
Paid
With this course, comes accompanying documentation that you can access for free. You will then be able to match what you see in the videos and copy/paste directly from my documentation and see the same result.
In this course we will:
Install Grafana from Packages
Create a domain name, install an SSL certificate and change the default port
Explore the Graph, Stat, Gauge, Bar Gauge, Table, Text, Heatmap and Logs Panels
Create many different types of Data Sources from MySQL, Zabbix, InfluxDB, Prometheus and Loki
We will configure their various collection processes such as MySQL Event Scheduler, Telegraf, Node Exporters, SNMP agents and Promtail
We will look at graphing Time Series data versus Non Time Series data
We will also install dashboards for each of the Data Sources, experimenting with community created dashboards plus experimenting with our own
We will monitor SNMP Devices using Telegraf Agent and InfluxDB Data Sources
We will create Annotation Queries and link the Log and Graphs panels together
We will look at Dynamic Dashboard Variables, Dynamic Tables, Dynamic Stats and Dynamic Graphs
We will look at creating Value Groups/Tags and how to use them with different kinds of data sources
We will set up an alerting channel, understand the different alerting options, configure an example of it to detect offline SNMP devices and demonstrate receiving email alerts via our local SMTP server
We will then create a dashboard for a 24 port Cisco Switch using methods applicable to both the Zabbix and the InfluxDB Data Sources
At the end of the course, you will have your own dedicated working Grafana Server, which will be in the cloud, with SSL, a domain name, with many example Data Sources and collectors configured, that you can call your own, ready for you to take it to the next level.
Once again, this is a Learn by example course, with all the example commands available for you to copy and paste. I demonstrate them working, and you will be able to do that to.
You are now ready to continue.
Thanks for taking part in my course, and i'll see you there.
Additional
About the Author: Udemy
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Because Udemy is a marketplace rather than a single editorial publisher, the catalog is uneven by design. The strongest material lives in the long-form, project-based courses authored by working engineers — full-stack JavaScript, React, Node.js, Python data science, AWS, Docker and Kubernetes, mobile development with Flutter and React Native, and cloud certification preparation. The CourseFlix listing under this source is the slice of that catalog that has been mirrored here for offline-friendly viewing, organized by topic and updated as new releases land. Pricing on Udemy itself swings dramatically with the site's near-permanent sales, which is why the platform is best treated as a deep reference catalog: pick instructors with strong reviews and a track record of updating their material rather than buying on the headline price alone.
Watch Online 56 lessons
0:00
/ #1: Introduction
All Course Lessons (56)
| # | Lesson Title | Duration | Access |
|---|---|---|---|
| 1 | Introduction Demo | 02:37 | |
| 2 | Install Grafana | 11:48 | |
| 3 | Upgrade/Downgrade Grafana | 04:10 | |
| 4 | Point Domain Name | 05:00 | |
| 5 | Reverse Proxy Grafana with Nginx | 06:12 | |
| 6 | Add SSL | 06:58 | |
| 7 | Create out First Data Source | 03:24 | |
| 8 | Panel Rows | 01:55 | |
| 9 | Panel Presentation Options | 03:48 | |
| 10 | Dashboard Versioning | 02:06 | |
| 11 | Graph Panel : Visualisation Options | 18:10 | |
| 12 | Graph Panel : Overrides | 04:06 | |
| 13 | Graph Panel : Transformations | 04:39 | |
| 14 | Stat Panel | 04:23 | |
| 15 | Gauge Panel | 01:27 | |
| 16 | Bar Gauge Panel | 01:06 | |
| 17 | Table Panel | 06:55 | |
| 18 | Create MySQL Data Source, Collector and Dashboard | 22:16 | |
| 19 | Create a Custom MySQL Time Series Query | 10:51 | |
| 20 | Graphing Non Time Series SQL Data in Grafana | 06:16 | |
| 21 | Install Loki Binary and Start as a Service | 10:03 | |
| 22 | Install Promtail Binary and Start as a Service | 06:13 | |
| 23 | LogQL | 18:03 | |
| 24 | Install a Second Promtail Service | 16:46 | |
| 25 | Annotation Queries Linking the Log and Graph Panels | 05:43 | |
| 26 | Read Nginx Logs with Promtail | 13:12 | |
| 27 | Install Prometheus Service and Data Source | 05:39 | |
| 28 | Install Prometheus Dashboard | 04:39 | |
| 29 | Setup Grafana Metrics Prometheus Dashboard | 06:03 | |
| 30 | Install Second Prometheus Node Exporter | 07:34 | |
| 31 | Install InfluxDB Server and Data Source | 08:38 | |
| 32 | Install Telegraf Agent and Configure for InfluxDB | 07:55 | |
| 33 | Install A Dashboard For Default InfluxDB/Telegraf Metrics | 04:07 | |
| 34 | Install SNMP Agent and Configure Telegraf SNMP Input | 09:16 | |
| 35 | Add Multiple SNMP Devices to Telegraf Config | 06:28 | |
| 36 | Import SNMP Dashboard that uses InfluxDB and Telegraf | 04:45 | |
| 37 | Create and Configure a Zabbix Data Source | 05:14 | |
| 38 | Import Zabbix Dashboards | 06:24 | |
| 39 | Course Update Notice | 00:33 | |
| 40 | Elasticsearch Data Source and Database | 12:28 | |
| 41 | Setup Elasticsearch Filebeat | 10:14 | |
| 42 | Setup Elasticseach Metricbeat | 13:03 | |
| 43 | Setup an Advanced Elasticsearch Dashboard | 08:02 | |
| 44 | Dashboard Variables | 06:59 | |
| 45 | Dynamic Table from Variables | 04:33 | |
| 46 | Dynamic Singlestats from Variables | 02:33 | |
| 47 | Dynamic Graphs from Variables | 03:50 | |
| 48 | Create an Email Alert Notification Channel | 04:12 | |
| 49 | Create Alerts for SNMP No Data | 07:07 | |
| 50 | Create a Custom Webhook Alert Notification Channel for SMS using AWS SNS | 08:30 | |
| 51 | Create Telegram Bot Alert Channel | 04:20 | |
| 52 | Value Groups/Tags with the Zabbix Data Source | 05:53 | |
| 53 | Value Groups/Tags with the InfluxDB/Telegraf Data Source | 12:19 | |
| 54 | Create a Cisco Switch Dashboard from the Zabbix Data Source | 06:10 | |
| 55 | Create a Cisco Switch Dashboard from the InfluxDB/Telegraf Data Source | 05:32 | |
| 56 | Disk Read/Write Rates Dashboard with the Zabbix Data Source | 09:11 |
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Learn more about subscriptionFrequently asked questions
What are the prerequisites for enrolling in this Grafana course?
Before enrolling in the Grafana course, students should have a basic understanding of data analytics and familiarity with general IT concepts like servers, databases, and networking. Some experience with SQL and data visualization tools will be beneficial, as the course covers creating data sources and dashboards using MySQL and other databases.
What types of projects will I work on during the course?
During the course, students will engage in hands-on projects such as creating data sources and dashboards with MySQL, setting up Prometheus and InfluxDB for metric collection, and configuring alerts using various notification channels like email and Telegram. Additionally, learners will work on creating custom time series queries and graphing non-time series SQL data in Grafana.
Who is the target audience for this Grafana course?
This Grafana course is designed for IT professionals, system administrators, and data analysts who seek to enhance their skills in monitoring and data visualization. It's suitable for those who aim to implement data-driven decision-making processes in their organizations by setting up comprehensive dashboards and alert systems.
How does the depth and scope of this course compare to similar courses?
This course offers a practical, example-driven approach to learning Grafana, covering a broad range of topics such as setting up various data sources like MySQL, Prometheus, and InfluxDB, and configuring dashboards for different use cases. The course also delves into advanced topics like annotation queries and custom webhook alert notifications, providing a thorough understanding of Grafana's capabilities.
What specific tools or platforms will I learn to use in this course?
Students will learn to use a variety of tools and platforms including Grafana for data visualization, MySQL for database management, Prometheus and InfluxDB for metric collection, and Nginx for reverse proxy setup. The course also covers installing and configuring SNMP agents and using Elasticsearch for log management and dashboard setup.
What topics are not covered in this Grafana course?
This course does not cover the basics of programming languages or in-depth discussions on network security practices. It focuses primarily on Grafana's functionality and does not delve into the core technical details of the underlying data sources or detailed security configurations beyond setting up SSL with Nginx.
How much time should I expect to commit to this course?
The course consists of 56 lessons, and while the total runtime is not specified, students should expect to dedicate significant time to both watching the instructional videos and completing the hands-on exercises. Given the course's practical nature, allocating additional time for experimentation and practice with the tools and configurations discussed is advisable.