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Practice guide Elastic from A to Z by examples Beats Logstash Elasticsearch Kibana

      Author: Baturi   |   19 November 2021   |   comments: 0



Practice guide Elastic from A to Z by examples  Beats Logstash Elasticsearch Kibana
English | 2021 | ISBN: B098RQR468 | 88 pages | pdf, epub | 32.57 MB
Elastic is a stack of 4 interconnected tools that allow businesses to efficiently collect and analyze their server's logs. Therefore, they can easily and quickly detect problems that occur. Moreover, one of the tools, Kibana, allows you to create visualizations and Dashboards based on logs, in order to have a graphical view of what is happening in real time on the servers. The MTTR will just be shorter and the yield better.


This book is a practical guide allowing you to master Elastic Stack for logs/data or metrics ingestion. Server or application metrics are: CPU usage, memory usage, incoming and outgoing data rate, requests failure, number of connections to the application per second,http code statistics (2xx, 3xx, 4xx, 5xx, response time, etc.). This practice guide will help you to master the Elastic chain from A to Z.
Table of content:
1.Introduction to Elastic............................................................................................... 2
1.1.Understand Elastic Stack.................................................................................... 2
1.2.Application cases............................................................................................... 4
2.Install Elastic Stack.................................................................................................... 4
2.1.Install Elasticsearch............................................................................................ 4
2.2.Install Logstash.................................................................................................. 5
2.3.Install Kibana..................................................................................................... 7
2.4.Install Beats....................................................................................................... 8
3.Applications............................................................................................................ 11
3.1.Application 1: handling Apache logs with Filebeat............................................. 11
3.2.Read the log file path from Logstash pipeline.................................................... 26
3.3.Elasticsearch pipeline: « Ingest pipeline »....................................................... 28
3.3.1.What is Elasticsearch pipeline ?................................................................. 28
3.3.2.Create and use a pipeline......................................................................... 29
3.3.3.Elasticsearch API.................................................................................... 47
3.4.Reading JSON and CSV file (structured files)................................................ 49
3.5.Winlogbeat : collect and handle Windows logs (event logs)............................. 53
3.6.Metricbeat...................................................................................................... 60
3.7.Step by step Dashboard creation..................................................................... 68
3.8.How to import structured data in Elasticsearch/Kibana?............................... 80

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