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Learn Grafana 10.x
Learn Grafana 10.x

Learn Grafana 10.x: A beginner's guide to practical data analytics, interactive dashboards, and observability , Second Edition

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Learn Grafana 10.x

Introducing Data Visualization with Grafana

Welcome to Learn Grafana 10.x! Together, we will explore Grafana, an exciting, multi-faceted visualization tool for data exploration, analysis, and alerting. We will learn how to install Grafana, become familiar with some of its many features, and even use it to investigate publicly available real-world datasets.

Whether you are an engineer watching terabytes of metrics for a critical system fault, an administrator sifting through a haystack of log output looking for the needle of an application error, or just a curious citizen eager to know how your city works, Grafana can help you monitor, explore, and analyze data. The key to getting a handle on big data is the ability to visualize it.

But before we find out how Grafana gives you that ability, we’ll need to cover a few basic concepts behind data visualization. Following that, we’ll set up our own instance of Grafana, which will form the fundamental building block for the exercises that follow in later chapters.

The following topics will be covered in this chapter:

  • Appreciating data and visualization – we’ll take a brief overview of the data landscape and how visualization is useful
  • Why Grafana? We’ll look at what makes Grafana an attractive solution
  • Installing Grafana – we’ll install the Grafana application server and get it running
  • Connecting to the Grafana server – we’ll launch the Grafana application by connecting to the installed server from a web browser

Tutorial code, dashboards, and other helpful files for this chapter can be found in the book’s GitHub repository at https://github.com/PacktPublishing/Learn-Grafana-10/tree/main/Chapter01.

Technical requirements

Grafana is relatively easy to set up, but since it is a web server application, you will need to execute a few shell commands to get it running. For the purposes of this book, we will assume that you will access Grafana from the same computer that you installed it on. The following are the technical requirements for installing and running Grafana:

  • Familiarity with the command shell
  • A terminal application or an SSH to the machine where you plan to install Grafana
  • Docker (in order to run Grafana from a Docker container)

Optionally, you will need to have the following:

  • Administrator access to install and run Grafana from the command line, rather than in a Docker container
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Key benefits

  • Install, set up, and configure Grafana for real-time data analysis, visualization, and alerting
  • Visualize and monitor data using data sources such as InfluxDB, Telegraf, Prometheus, and Elasticsearch
  • Explore Grafana's cloud support with Microsoft Azure, Amazon CloudWatch, and Google Cloud Monitoring
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

Get ready to unlock the full potential of the open-source Grafana observability platform, ideal for analyzing and monitoring time-series data with this updated second edition. This beginners guide will help you get up to speed with Grafana’s latest features for querying, visualizing, and exploring logs and metrics, no matter where they are stored. Starting with the basics, this book demonstrates how to quickly install and set up a Grafana server using Docker. You’ll then be introduced to the main components of the Grafana interface before learning how to analyze and visualize data from sources such as InfluxDB, Telegraf, Prometheus, Logstash, and Elasticsearch. The book extensively covers key panel visualizations in Grafana, including Time Series, Stat, Table, Bar Gauge, and Text, and guides you in using Python to pipeline data, transformations to facilitate analytics, and templating to build dynamic dashboards. Exploring real-time data streaming with Telegraf, Promtail, and Loki, you’ll work with observability features like alerting rules and integration with PagerDuty and Slack. As you progress, the book addresses the administrative aspects of Grafana, from configuring users and organizations to implementing user authentication with Okta and LDAP, as well as organizing dashboards into folders, and more. By the end of this book, you’ll have gained all the knowledge you need to start building interactive dashboards.

Who is this book for?

This book is for business intelligence developers, business analysts, data analysts, and anyone interested in performing time-series data analysis and monitoring using Grafana. You’ll also find this book useful if you’re looking to create and share interactive dashboards or get up to speed with the latest features of Grafana. Although no prior knowledge of Grafana is required, basic knowledge of data visualization and some Python programming experience will help you understand the concepts covered in the book.

What you will learn

  • Learn the techniques of data visualization using Grafana
  • Get familiar with the major components of Time series visualization
  • Explore data transformation operations, query inspector, and time interval settings
  • Work with advanced dashboard features, such as annotations, variable-based templating, and dashboard linking and sharing
  • Connect user authentication through Okta, Google, GitHub, and other external providers
  • Discover Grafana's monitoring support for cloud service infrastructures

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Dec 20, 2023
Length: 542 pages
Edition : 2nd
Language : English
ISBN-13 : 9781801814331
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Grafana
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Product Details

Publication date : Dec 20, 2023
Length: 542 pages
Edition : 2nd
Language : English
ISBN-13 : 9781801814331
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Table of Contents

22 Chapters
Part 1 – Getting Started with Grafana Chevron down icon Chevron up icon
Chapter 1: Introducing Data Visualization with Grafana Chevron down icon Chevron up icon
Chapter 2: Touring the Grafana Interface Chevron down icon Chevron up icon
Chapter 3: Diving into Grafana's Time Series Visualization Chevron down icon Chevron up icon
Part 2 – Real-World Grafana Chevron down icon Chevron up icon
Chapter 4: Connecting Grafana to a Prometheus Data Source Chevron down icon Chevron up icon
Chapter 5: Extracting and Visualizing Data with InfluxDB and Grafana Chevron down icon Chevron up icon
Chapter 6: Shaping Data with Grafana Transformations Chevron down icon Chevron up icon
Chapter 7: Surveying Key Grafana Visualizations Chevron down icon Chevron up icon
Chapter 8: Surveying Additional Grafana Visualizations Chevron down icon Chevron up icon
Chapter 9: Creating Insightful Dashboards Chevron down icon Chevron up icon
Chapter 10: Working with Advanced Dashboard Features and Elasticsearch Chevron down icon Chevron up icon
Chapter 11: Streaming Real-Time IoT Data from Telegraf Agent to Grafana Live Chevron down icon Chevron up icon
Chapter 12: Monitoring Data Streams with Grafana Alerts Chevron down icon Chevron up icon
Chapter 13: Exploring Log Data with Grafana’s Loki Chevron down icon Chevron up icon
Part 3 – Managing Grafana Chevron down icon Chevron up icon
Chapter 14: Organizing Dashboards and Folders Chevron down icon Chevron up icon
Chapter 15: Managing Permissions for Users, Teams, and Organizations Chevron down icon Chevron up icon
Chapter 16: Authenticating Grafana Logins Using LDAP or OAuth 2 Providers Chevron down icon Chevron up icon
Chapter 17: Cloud Monitoring AWS, Azure, and GCP Chevron down icon Chevron up icon
Index Chevron down icon Chevron up icon
Other Books You May Enjoy Chevron down icon Chevron up icon

Customer reviews

Rating distribution
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
(3 Ratings)
5 star 33.3%
4 star 0%
3 star 33.3%
2 star 0%
1 star 33.3%
AB Mar 11, 2024
Full star icon Full star icon Full star icon Full star icon Full star icon 5
I have been implementing Grafana based data visualization for our various Digitalization requirements for my global organization. I always had the challenge in training others and bringing them up to speed with Grafana.This book is well written and organized for the new as well as the experienced as a reference book. Large organizations trying to drive digitalization/cloud strategies etc need to visualize their continuous progress. To do that, every appropriately involved person needs to bring up their creative way of data identification and visualization.This book should be digitally or physically available to the engineers/operations personnel to get into the world of Grafana. This book shall facilitate way more than an introduction. I highly recommend this book.
Amazon Verified review Amazon
N/A Nov 14, 2024
Full star icon Full star icon Full star icon Empty star icon Empty star icon 3
Here's a crappy review that (a) I hope stops the onslaught of "review now!" emails and which will catch somebody's eye: You can't prompt for a review of a 542-page volume after just 2 days and expect a realistic review from the vast majority of your customer base. If you really want legitimate feedback, you need to wait a least a couple weeks.
Feefo Verified review Feefo
N/A Nov 11, 2024
Full star icon Empty star icon Empty star icon Empty star icon Empty star icon 1
Here's a crappy review that (a) I hope stops the onslaught of "review now!" emails and which will catch somebody's eye: You can't prompt for a review of a 542-page volume after just 2 days and expect a realistic review from the vast majority of your customer base. If you really want legitimate feedback, you need to wait a least a couple weeks.
Feefo Verified review Feefo
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