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Mastering Kibana 6.x
KibanaisoneofthepopulartoolsamongdataenthusiastsforslicinganddicinglargedatasetsanduncoveringBusinessIntelligence(BI)withthehelpofitsrichandpowerfulvisualizations.Tobeginwith,MasteringKibana6.xquicklyintroducesyoutothefeaturesofKibana6.x,beforeteachingyouhowtocreatesmartdashboardsinnotime.Youwillexploremetricanalyticsandgraphexploration,followedbyunderstandinghowtoquicklycustomizeKibanadashboards.Inadditiontothis,youwilllearnadvancedanalyticssuchasmaps,hits,andlistanalytics.Allthiswillhelpyouenhanceyourskillsinrunningandcomparingmultiplequeriesandfilters,influencingyourdatavisualizationskillsatscale.WithKibana’sTimelionfeature,youcananalyzetimeseriesdatawithhistogramsandstatsanalytics.Bytheendofthisbook,youwillhavecreatedaspeedymachinelearningjobusingX-Packcapabilities.
目錄(321章)
倒序
- 封面
- Title Page
- Copyright and Credits
- Mastering Kibana 6.x
- Packt Upsell
- Why subscribe?
- PacktPub.com
- Contributors
- About the author
- About the reviewers
- Packt is searching for authors like you
- Preface
- Who this book is for
- What this book covers
- To get the most out of this book
- Download the color images
- Conventions used
- Get in touch
- Reviews
- 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 package
- Installing 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
- 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 data
- Creating 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
- Exploring Your Data
- Kibana Discover
- Discovering data using Kibana Discover
- Configuring 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
- Visualizing the Data
- Creating visualizations
- Basic charts
- Data
- Maps
- Time series
- Other
- Pie charts
- Metric aggregation
- Bucket aggregation
- Creating a pie chart
- Adding 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
- Dashboarding to Showcase Key Performance Indicators
- Creating the dashboard
- Arranging visualizations
- Moving visualizations
- Resizing visualizations
- Removing visualizations
- Showing in full screen
- Showing visualization data
- Modifying the visualization
- Saving the dashboard
- Sharing the dashboard
- Sharing the saved dashboard
- Sharing the snapshot
- Cloning the dashboard
- Exploring the dashboard
- The search query
- Adding filters
- Applying the time filter
- Clicking on visualizations
- Summary
- Handling Time Series Data with Timelion
- Timelion interface
- Timeline expression
- .es function parameters
- Chainable methods
- .sum()
- .avg()
- .min()
- .max()
- .log()
- .abs()
- .divide()
- .multiply()
- .derivative()
- .bars()
- .color()
- .label()
- .legend()
- .movingaverage()
- .trend()
- .range()
- .precision()
- Data source functions
- Elasticsearch
- Static/value
- World bank
- Setting the offset for data sources
- Saving Timelion graph
- Timelion sheet option
- Deleting Timelion sheet
- Timelion help
- Function reference
- Keyboard tips
- Timelion auto-refresh
- Summary
- Interact with Your Data Using Dev Tools
- Console
- Copy as cURL
- Auto indent
- Multiple requests in console
- Profiling queries
- Query profile
- Aggregation profile
- Grok debugger
- Summary
- Tweaking Your Configuration with Kibana Management
- Index pattern
- Creating the index pattern
- Setting the default index pattern
- Refreshing index pattern fields
- Deleting an index pattern
- Managing fields
- String
- Dates
- Geographic point field
- Numbers
- Saved objects
- Dashboards
- Searches
- Visualizations
- Advanced settings
- xPack:defaultAdminEmail
- search:queryLanguage
- search:queryLanguage:switcher:enable
- dateFormat
- dateFormat:tz
- dateFormat:dow
- defaultIndex
- Reporting
- Security
- Roles
- Users
- Watcher
- Creating the watch
- Threshold alert
- Advanced watch
- Deleting the watch
- Summary
- Understanding X-Pack Features
- Installing X-Pack
- Installing X-Pack into Elasticsearch
- Installing X-Pack into Kibana
- Features of X-Pack
- Monitoring
- Elasticsearch monitoring
- Kibana monitoring
- Security settings
- Users
- Roles
- Machine learning
- Other options of X-Pack
- Application Performance Monitoring
- Logging
- Apache logs
- MySQL logs
- Nginx logs
- System logs
- Metrics
- Apache metrics
- Docker metrics
- Kubernetes metrics
- MySQL metrics
- Nginx metrics
- Redis metrics
- System metrics
- Summary
- Machine Learning with Kibana
- Machine learning jobs
- Single metric Jobs
- Multi-metric jobs
- Population Jobs
- Advanced Jobs
- Create a machine learning job
- Data visualizer
- Single metric Job
- Managing jobs
- Job settings
- Job config
- Datafeed
- Counts
- JSON
- Job messages
- Datafeed preview
- Anomaly explorer
- Single metric viewer
- Multi metric job
- Explore multi metric job result
- Population job
- Summary
- Create Super Cool Dashboard from a Web Application
- JDBC input plugin
- Scheduling
- Maintaining the last SQL value
- Fetch size
- Configuring Logstash for database input
- Creating a dashboard using MySQL data
- Creating visualizations
- Total blog and top blog count
- Blogger-wise blog counts
- Tag cloud for blog categories
- Blogger name-category-views-blog pie chart
- Tabular view of blog details
- Create dashboard
- Summary
- Different Use Cases of Kibana
- Time-series data handling
- Conditional formatting
- Tracking trends
- A visual builder for handling time series data
- GeoIP for Elastic Stack
- Ingest node
- GeoIP with Packetbeat data
- Summary
- Creating Monitoring Dashboards Using Beats
- Configuring the Beats
- Filebeat
- Configuring Filebeat
- Metricbeat
- Configuring Metricbeat
- Enabling the modules using the metricbeat.yml file
- Enabling the modules from the modules.d directory
- Packetbeat
- Configuring Packetbeat
- Creating visualizations using Beat data
- Visualization using Filebeat
- Visualization using Metricbeat
- Visualization using Packetbeat
- Creating the dashboard
- Importing Beat dashboards
- Importing dashboards in Filebeat
- Importing dashboards in Metricbeat
- Importing dashboards in Packetbeat
- Summary
- Best Practices
- Requirement of test environment
- Picking the right time filter field
- Avoiding large document indexing
- Avoiding sparsity
- Avoiding unrelated data in the same index
- Normalizing the document
- Avoiding types in Indices
- Avoiding wildcard searches
- Summary
- Other Books You May Enjoy
- Leave a review - let other readers know what you think 更新時間：2021-07-16 18:21:07
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