Kibana 7 Quick Start Guide

Visualize your Elasticsearch data with ease

Anurag Srivastava 지음

Packt(GCO Science) 2019년 01월 31일 출간

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▶Book Description
The Elastic Stack is growing rapidly and, day by day, additional tools are being added to make it more effective. This book endeavors to explain all the important aspects of Kibana, which is essential for utilizing its full potential.

This book covers the core concepts of Kibana, with chapters set out in a coherent manner so that readers can advance their learning in a step-by-step manner. The focus is on a practical approach, thereby enabling the reader to apply those examples in real time for a better understanding of the concepts and to provide them with the correct skills in relation to the tool. With its succinct explanations, it is quite easy for a reader to use this book as a reference guide for learning basic to advanced implementations of Kibana. The practical examples, such as the creation of Kibana dashboards from CSV data, application RDBMS data, system metrics data, log file data, APM agents, and search results, can provide readers with a number of different drop-off points from where they can fetch any type of data into Kibana for the purpose of analysis or dashboarding.

▶What You Will Learn
？ Explore how Logstash is configured to fetch CSV data
？ Understand how to create index patterns in Kibana
？ Become familiar with how to apply filters on data
？ Discover how to create ML jobs
？ Explore how to analyze APM data from APM agents
？ Get to grips with how to save, share, inspect, and edit visualizations
？ Understand how to find an anomaly in data

▶Key Features
？ Your hands-on guide to visualizing the Elasticsearch data as well as navigating the Elastic stack
？ Work with different Kibana plugins and create effective machine learning jobs using Kibana
？ Build effective dashboards and reports without any hassle

▶Who This Book Is For
This book is for anybody who wants to explore data. We used to obtain data from different sources, which can be scattered. Using Kibana, we can arrange, analyze, and visualize it, and can then retrieve the relevant information from that diffuse data. For this book, no prior knowledge is required, and anyone can start working on Kibana using the simple introduction and practical implementations in the book. In this book, the focus is on a practical approach, where aspects are explained using practical examples, images, and a stepwise approach, where you need to sequentially follow a number of steps in order to achieve something. In this way, it is quite easy to understand the topics and you can easily implement the given steps

목차

▶TABLE of CONTENTS
1: INTRODUCING KIBANA
2: GETTING DATA INTO KIBANA
3: EXPLORING DATA
4: VISUALIZING DATA
5: X-PACK WITH MACHINE LEARNING
6: MONITORING APPLICATIONS WITH APM
7: KIBANA ADVANCED TOOLS

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▶ Preface
Kibana is an open source data exploration and visualization platform. It is part of Elastic Stack, where we have Elasticsearch, Logstash, and Beats, along with Kibana. Using Kibana, we can explore data visually and can analyze it in real time. Kibana enables us to implement APM for application performance monitoring and Timelion enables us to play with time-series data. Then we have Dev Tools, by means of which we can run Elasticsearch queries direct from the Kibana interface. We have ML, by means of which we can predict future trends or ascertain anomalies in the data. Kibana provides us with Reporting, through which we can export CSV or PDF reports, Monitoring, to get insights into the complete Elastic Stack, and Watcher, to alert you in the event of any issue with the data.

Kibana, along with other Elastic Stack components, provides us with full-stack monitoring capability. Using Beats, we can get system metrics, log data, packet data, and so on. Logstash enables us to retrieve data from any other possible sources, including DBMS, CSV, or any other third-party tool, and then, using APM, we can fetch application data to monitor application performance. In this way, using Kibana, we can have an end-to-end monitoring system where a single dashboard can show all key performance indicators.

This book is there to help you understand the core concepts and the practical implementations, by means of which you can start using Kibana for a variety of use cases. It covers how to ingest data from different sources, using Beats or Logstash, into Elasticsearch, and then how to explore, analyze, and visualize it in Kibana. It covers how to play with time-series data to create complex graphs using Timelion and show them on your dashboard along with other visualizations, and then how to embed your dashboard or visualization on a web page. You will also learn about APM to monitor your application by installing and configuring the APM server and APM agents. We have also covered different X-Pack features, such as user and role management under security, alerting, monitoring, and ML. This book will also explain how to create ML jobs to find anomalies in your data.

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저자(글) Anurag Srivastava