Mastering Kibana 6. x : Visualize Your Elastic Stack Data with Histograms, Maps, Charts, and Graphs.

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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Srivastava, Anurag
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing Ltd, 2018.
Temas:
Information visualization.
Data mining.
Visualisation de l'information.
Exploration de données (Informatique)
Servers.
Databases.
Data capture & analysis.
Computers > Data Processing.
Data mining
Information visualization
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Revising the ELK Stack; What is ELK Stack?; Elasticsearch; Logstash; Kibana; Beats; Installing the ELK Stack; Elasticsearch; Installing Elasticsearch using a TAR file; Installing Elasticsearch with Homebrew; Installing Elasticsearch with MSI Windows Installer; Installing Elasticsearch with the Debian package; Installing Elasticsearch with the RPM package; Logstash; Using apt package repositories; Using yum package repositories; Kibana; Installing Kibana using .tar.gz.
  • Installing Kibana using the Debian packageInstalling Kibana using rpm; Installing Kibana on Windows; Beats; Packetbeat; Metricbeat; Filebeat; Winlogbeat; Heartbeat; ELK use cases; Log management; Security monitoring and alerting; Web scraping; E-commerce search solutions; Full text search; Visualizing data; Summary; Chapter 2: Setting Up and Customizing the Kibana Dashboard; Setting up the stage; Configuring Logstash to fetch data from the Apache log file; Outputting the log data into Elasticsearch; Configuring Kibana to read the Elasticsearch index.
  • Creating demo visualizations with Apache log dataCreating the dashboard; Customizing the dashboard; Editing the visualization; Changing the title by customizing the panel; Moving the visualization to full screen; Deleting the visualization from the dashboard; Changing the colors of the visualization; Dragging and dropping visualizations on a desired location on the dashboard; Resizing the visualization as per our requirements; Exporting CSV data from the visualization; Getting the Elasticsearch request, response, and statistics; Summary; Chapter 3: Exploring Your Data; Kibana Discover.
  • Discovering data using Kibana DiscoverConfiguring Packetbeat to push packet data into Elasticsearch; Configuring Kibana to read the Elasticsearch index with packet logs; Exploring Kibana Discover to access packet data; Showing the required fields; Applying the time filter; Elasticsearch query DSL; Filter; Saving and opening searches; Saving the result; Opening the result; Sharing results; Field data statistics; Summary; Chapter 4: Visualizing the Data; Creating visualizations; Basic charts; Data; Maps; Time series; Other; Pie charts; Metric aggregation; Bucket aggregation.
  • Creating a pie chartAdding another dimension to the pie chart; Bar charts; Metric aggregation; Bucket aggregation; Creating a bar chart; Area charts; Creating an area chart; Data metrics; Creating a data metric; Data tables; Creating the data table; Tag clouds; Creating a tag cloud; Markdown; Creating a markdown visualization; Sharing visualizations; Summary; Chapter 5: Dashboarding to Showcase Key Performance Indicators; Creating the dashboard; Arranging visualizations; Moving visualizations; Resizing visualizations; Removing visualizations; Showing in full screen; Showing visualization data.

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