Data
Reader small image

You're reading from  Learning Kibana 5.0

Product typeBook
Published inFeb 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781786463005
Edition1st Edition
Languages
Java
Tools
KibanaElasticsearch
Concepts
Data Visualization
Right arrow
Author (1)
Bahaaldine Azarmi
Bahaaldine Azarmi
author image
Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

Right arrow

Kibana anatomy

In this section, I'll present the different sections present in Kibana 5.0, without necessarily diving into them, as we are going to do this later in the chapters dedicated to logging, metrics, and graphs.

First, connect to https://localhost:5601, log in with the default elastic / changeme, and let's see what the Kibana menu is composed of:

Kibana menu

The Kibana menu contains two types of sections:

  • Links to Kibana core features: Discover, Visualize, Dashboard, and Console

  • Links to Kibana plugins: Timelion, Graph, Monitoring, the elastic user, and Logout

Before we start, let's go into a common Kibana user experience:

Kibana user experience

Since Kibana 5.0, the user can have a seamless experience, from ingestion to visualization, all from Kibana itself:

  • If the user doesn't have data yet, he can import it using the CSV importer (only available in Kibana alpha version; has been removed in 5.0 GA).

  • If the data already exists in Elasticsearch, the user needs to create their index...

lock icon
The rest of the page is locked
Previous Page
Chapter 10 of 17, Page 3
Next Page
You have been reading a chapter from
Learning Kibana 5.0
Published in: Feb 2017Publisher: PacktISBN-13: 9781786463005
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Bahaaldine Azarmi

Bahaaldine Azarmi, Global VP Customer Engineering at Elastic, guides companies as they leverage data architecture, distributed systems, machine learning, and generative AI. He leads the customer engineering team, focusing on cloud consumption, and is passionate about sharing knowledge to build and inspire a community skilled in AI.
Read more about Bahaaldine Azarmi

Other recommended products

Related to this chapter

Learning Kibana 7

Learning Kibana 7

This book will introduce you to Kibana 7, and will show you how it fits into the Elastic stack. You will build a pure metric analytics architecture and visualize it using Timelion. You will also learn how to build relationships between documents using Graph visualization. You will also learn to build powerful Elastic dashboards using Kibana.

BookJul 2019280 pages
Mastering Kibana 6.x

Mastering Kibana 6.x

Mastering Kibana 6.x provides a rundown explanation required for data visualization and analysis such as X-Pack features, Beats, and machine learning. You will be expert in creating analytics-driven visualizations from a web application. You will be a maestro in creating custom monitoring dashboard using Beats with various examples

BookJul 2018376 pages
Kibana 7 Quick Start Guide

Kibana 7 Quick Start Guide

Kibana is the visualization tool of the Elastic Stack, used for visualizing the results of the queries as well the dashboards generated out of the Elasticsearch and Logstash components. This book contains core concepts of Kibana with a straightforward form of chapters so that reader can move forward in a step by step manner.

BookJan 2019172 pages
Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack

Elastic has announced the integration of Prelert machine learning technology within its ecosystem allowing real-time generation of business insights from the Elasticsearch data without it leaving the cluster at all. This book will demonstrate these unique features and teach you to perform machine learning on the Elastic Stack without any hassle.

BookJan 2019304 pages
Learning Elasticsearch

Learning Elasticsearch

Elasticsearch is a Lucene-based search and analytics engine for distributed search and analytics. This book will be your hands-on guide as you explore and put to use the features of Elasticsearch 5.x.

BookJun 2017404 pages
Learning Elastic Stack 6.0

Learning Elastic Stack 6.0

This book will give you a fundamental understanding of what the stack is all about, and how to use it efficiently to build powerful real-time data processing applications. It provide in-depth coverage of the different components of the Elastic Stack, and how to use them all together.

BookDec 2017434 pages
Learning Elastic Stack 7.0

Learning Elastic Stack 7.0

This book teaches you about every component of the Elastic Stack - including Elasticsearch, Kibana, Logstash, and X-pack - with new and the updated features that are released with the 7.0 version. With the help of this book, you will be able to develop enterprise-grade distributed search and analytics applications for your data without any hassle.

BookMay 2019474 pages
Mastering Elastic Stack

Mastering Elastic Stack

BookFeb 2017526 pages
Mastering Elasticsearch 5.x

Mastering Elasticsearch 5.x

This book will help you leverage Elasticsearch, guiding you through everything from writing and creating customized plugins to extend Elasticsearch to tackling challenges while handling relational data in Elasticsearch. You’ll learn with the help of practical examples in a step-by-step way.

BookFeb 2017428 pages
Elasticsearch 5.x Cookbook

Elasticsearch 5.x Cookbook

BookFeb 2017696 pages
Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack

Machine Learning with the Elastic Stack, Second Edition, provides a comprehensive overview of Elastic Stack's machine learning features for both time series data analysis as well as for supervised learning and unsupervised learning that helps make machine learning truly operational for you.

BookMay 2021450 pages

Personalised recommendations for you

Based on your interests and search pattern

Et al.

Et al.

Ever wonder why speech recognition systems don't understand the Scottish accent, or what would happen if an astronaut only ate mac 'n' cheese, or other spurious reflections you'd have at a bar? We did, then collated those deliberations into absurd research articles with fake figures and methodologies inspired by even more fictionally absurd studies.

BookAug 2023230 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages4
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages1
Generative AI with LangChain

Generative AI with LangChain

This book is a comprehensive introduction to LLMs and LangChain, demystifying the basic mechanics of LangChain, its functionalities, and the myriad of applications it can be integrated into.

BookDec 2023360 pages5
Mastering Tableau 2023

Mastering Tableau 2023

This book is a comprehensive resource to mastering your Tableau skills and becoming a BI expert. As you progress, you will learn how to build advanced dashboards and improve your storytelling to derive key business insight, as well as make you well-versed with advanced functionalities of Tableau in the business intelligence domain.

BookAug 2023684 pages
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages5
Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

This guide covers all ChatGPT API features for effortless creation of robust AI powered apps. With its help, you’ll be able to leverage ChatGPT’s cutting-edge NLP models to take your app development skills to the next level. You’ll also work on ten exciting projects that will give you the practical know-how that you can apply to your existing applications.

BookSep 2023258 pages2
Data Engineering with AWS

Data Engineering with AWS

Embark on a journey to master data engineering pipelines on AWS! Our book offers a hands-on experience of AWS services for ingesting, transforming, and consuming data. Whether you're an absolute beginner or someone with basic data engineering experience, this guide is an indispensable resource.

BookOct 2023636 pages5
Modern Data Architecture on AWS

Modern Data Architecture on AWS

Every organization wants an agile, performant, and cost-effective data platform that meets all their current and future business needs. Purpose-built AWS analytics services and their features play a big part in building such a modern data platform. This book brings to you all the design and architectural patterns that’ll help you achieve this goal.

BookAug 2023420 pages5
Practical Guide to Applied Conformal Prediction in Python

Practical Guide to Applied Conformal Prediction in Python

Discover the power of Conformal Prediction with the "Practical Guide to Applied Conformal Prediction in Python." Master the latest techniques to quantify uncertainty in machine learning and computer vision models, and seamlessly apply them to your industry applications.

BookDec 2023240 pages
TinyML Cookbook

TinyML Cookbook

With over 70 project-based recipes, the TinyML Cookbook is a practical guide that will help you to get the most out of your microcontrollers. It provides a comprehensive understanding of the theoretical foundations while giving you hands-on experience training ML models for deployment on Arduino Nano 33 BLE Sense, Raspberry Pi Pico, and SparkFun RedBoard Artemis Nano microcontrollers.

BookNov 2023664 pages