Learning Kibana 7 : build powerful elastic dashboards with Kibana's data visualization capabilities

Description

Cover Title Page Copyright and Credits Dedication About Packt Contributors Table of Contents Preface Section 1: Understanding Kibana 7 Chapter 1: Understanding Your Data for Kibana Industry challenges Use cases to explain industry issues Understanding your data for analysis in Kibana Data shipping Data ingestion Storing data at scale Visualizing data Technology limitations Relational databases Hadoop NoSQL Components of the Elastic Stack Elasticsearch Beats Logstash Kibana X-Pack Security Monitoring Alerting Reporting Summary Chapter 2: Installing and Setting Up Kibana Installing Elasticsearch Elasticsearch installation using the .zip or .tar.gz archives Downloading and installing using the .zip archive Downloading and installing using the .tar.gz archive Running Elasticsearch Elasticsearch installation on Windows using the .zip package Downloading and installing the .zip package Running Elasticsearch Installing Elasticsearch as a service Elasticsearch installation using the Debian package Installing Elasticsearch using the apt repository Manually installing using the Debian package Elasticsearch installation using RPM Installing using the apt repository Manually installing using RPM Running Elasticsearch Running Elasticsearch with SysV Running Elasticsearch with systemd Checking whether Elasticsearch is running Installing Kibana Kibana installation using the .zip or .tar.gz archives Downloading and installing using the .tar.gz archive Running Kibana Downloading and installing using the .zip archive Running Kibana Kibana installation using the Debian package Installing using the apt repository Manually installing Kibana using the Debian package Running Kibana Running Kibana with SysV Running Kibana with systemd Kibana installation using RPM Installing using the apt repository Manually installing using RPM Running Kibana Running Kibana with SysV Running Kibana with systemd Installing Logstash Installing Logstash using the downloaded binary Installing Logstash from the package repositories Installing Logstash using the apt package Installing Logstash using the yum package Running Logstash as a service Running Logstash using systemd Running Logstash using upstart Running Logstash using SysV Installing Beats Installing Filebeat deb rpm macOS Linux win Installing Metricbeat deb rpm macOS Linux win Installing Packetbeat deb rpm macOS Linux win Installing Heartbeat deb rpm macOS Linux win Installing Winlogbeat Summary Section 2: Exploring the Data Chapter 3: Business Analytics with Kibana Understanding logs Data modeling Importing data Beats Configuring Filebeat to import data we need to enable the following command in the input section of the filebeat.yml file Reading log files using Filebeat Logstash Reading CSV data using Logstash Reading MongoDB data using Logstash Reading MySQL data using Logstash Creating an index pattern Summary Chapter 4: Visualizing Data Using Kibana Creating visualizations in Kibana Identifying the data to visualize Creating an area chart, a line chart, and a bar chart Creating a pie chart Creating the heatmap Creating the data table Creating the metric visualization Creating the tag cloud Inspecting the visualization Sharing the visualization Creating dashboards in Kibana Sharing the dashboard Generating reports Summary Section 3: Tools for Playing with Your Data Chapter 5: Dev Tools and Timelion Introducing Dev Tools Console Search profiler Aggregation profile Grok Debugger Timelion .es() .label() .color() .static() .bars() .points() .derivative() .holt() .trend() .mvavg() A use case of Timelion Summary Chapter 6: Space and Graph Exploration in Kibana Kibana spaces Creating a space Editing a space Deleting a space Switching between spaces Moving saved objects between spaces Restricting space access Creating a role to provide access to a space Creating a user and assigning the space access role Checking the user space access Kibana graphs Differences with industry graph databases Creating a Kibana graph Advanced graph exploration Summary Section 4: Advanced Kibana Options Chapter 7: Elastic Stack Features Security Roles Users Monitoring Elasticsearch Monitoring Kibana Monitoring Alerting Creating a threshold alert Reporting CSV reports PDF and PNG reports Summary Chapter 8: Kibana Canvas and Plugins Kibana Canvas Introduction to Canvas Customizing the workpad Managing assets Adding elements Data tables Designing the data table Pie charts Images Creating a presentation in Canvas Kibana plugins Installing plugins Removing plugins Available plugins Summary Chapter 9: Application Performance Monitoring APM components APM agents The APM Server Installing the APM Server APT YUM APM Server installation on Windows Running the APM Server Configuring the APM Server Elasticsearch Kibana Configuring an application with APM Configuring the APM agent for the Django application Running the Django application Monitoring the APM data Summary Chapter 10: Machine Learning with Kibana What is Elastic machine learning? Machine learning features Creating machine learning jobs Data visualizer Single metric jobs Practical use case to explain machine learning Forecasting using machine learning Multi-metric jobs Population jobs Job management Job settings Job config Datafeed Counts JSON Job messages Datafeed preview Forecasts Summary Other Books You May Enjoy Index