Kibana Guide 官网地址：https://www.elastic.co/guide/en/kibana/current/index.html

Kibana 用户指南（构建你自己的仪表盘）：https://segmentfault.com/a/1190000015140923

Kibana快速上手：https://www.jianshu.com/p/7bf9a3dfeb9b

介绍

Kibana是一个开源的分析和可视化平台，旨在与Elasticsearch协同工作。使用Kibana搜索、查看和与存储在Elasticsearch索引中的数据交互。您可以轻松地执行高级数据分析，并在各种图表、表格和地图中可视化您的数据。

Kibana使人们很容易理解大量数据。它简单的、基于浏览器的界面使您能够快速创建和共享动态仪表板，实时显示对Elasticsearch查询的更改。

你可以安装Kibana，并在几分钟内开始研究你的Elasticsearch索引——不需要代码，不需要额外的基础设施。

开始 Kibana

本节包括如何设置和运行Kibana的信息，包括:

下载 Kibana
安装 Kibana
开始使用 Kibana
配置 Kibana
升级 Kibana

支持的平台

Kibana 提供了针对 Linux、Darwin 和 Windows 的测试。Kibana 在 Node.js 上运行。我们为这些平台提供了必要的 Node.js 二进制文件。不支持在单独维护的 Node.js 版本上运行 Kibana。

Elasticsearch 版本

Kibana 应该配置为和相同版本的 Elasticsearch 一块运行。这是官方支持的配置。

不支持运行不同版本的 Kibana 和 Elasticsearch ( 例如 Kibana 5 和 Elasticsearch 2.x 版本不匹配，就不支持运行)，也不支持运行比 Elasticsearch版本 (如Kibana 5.1和Elasticsearch 5.0)更新的Kibana小版本。所以 Kibana 和 Elasticsearch 版本必须匹配。

运行一个比Kibana更高的Elasticsearch的小版本通常会在Elasticsearch先升级的情况下工作(例如Kibana 5.0和Elasticsearch 5.1)。在这个配置中，将在Kibana服务器启动时记录一个警告，所以这只是暂时的，直到Kibana升级到与Elasticsearch相同的版本。

运行不同的补丁版本的Kibana和Elasticsearch(例如Kibana 5.0.0和Elasticsearch 5.0.1)通常是受支持的，尽管我们鼓励用户运行相同版本的Kibana和Elasticsearch到补丁版本。

安装 Kibana

Install Kibana with .tar.gz
Install Kibana with Debian Package
Install Kibana with RPM
Install Kibana on Windows
Install Kibana on macOS with Homebrew

开始和停止 Kibana

Starting and stopping Kibana

配置 Kibana

APM settings
Development tools settings
Graph settings
Metrics settings
i18n settings in Kibana
Logs settings
Machine learning settings
Monitoring settings
Reporting settings
Secure settings
Security settings
Spaces settings

在 Docker 中运行 Kibana

Running Kibana on Docker

访问 Kibana

Accessing Kibana

把 Kibana 和 Elasticsearch 连接起来

Connect Kibana with Elasticsearch

在生产环境中使用 Kibana

Using Kibana in a production environment

升级 Kibana

Standard upgrade
Troubleshooting saved object migrations

配置监控

Collecting monitoring data
Collecting monitoring data with Metricbeat
Viewing monitoring data

配置安全

Authentication
Encrypting communications
Audit Logging

开始 Getting Started

添加样例数据

Add sample data

使用示例数据探索 Kibana

Explore Kibana using sample data

构建自己的仪表盘

Build your own dashboard

Define your index patterns
Discover your data
Visualize your data
Add visualizations to a dashboard

Discover （发现）

Setting the time filter
Searching your data
- Kibana Query Language
- Lucene query syntax
- Saving searches
- Saving queries
- Change the indices you’re searching
- Refresh the search results
Filtering by field
Viewing document data
Viewing a document in context
Viewing Field Data Statistics

Visualize (可视化)

Use rolled up data in a visualization
Lens
Most frequently used visualizations
TSVB
Timelion
Coordinate Maps
Region Maps
Markdown and controls
Vega Graphs
- Getting Started with Vega
- Vega vs Vega-Lite
- Querying Elasticsearch
- Elastic Map Files
- Vega with a Map
- Debugging
- Useful Links
Save visualizations
Inspect visualizations

Dashboard （仪表盘指示板）

Create a dashboard

Canvas ( 画布 )

Canvas tutorial
Create a workpad
Showcase your data with elements
Present your workpad
Share your workpad
Canvas function reference
- TinyMath functions

Graph data connections （图表曲线图数据链接）

Using Graph
Configuring Graph
Troubleshooting
Limitations

Machine learning （机器学习）

Anomaly detection
Data frame analytics

Elastic Maps （Elastic 映射）

Getting started with Elastic Maps

Creating a new map
Adding a choropleth layer
Adding layers for Elasticsearch data
Saving the map
Adding the map to a dashboard

Heat map layer

Tile layer

Vector layer

Vector styling
Vector style properties
Vector tooltips

Plot big data without plotting too much data

Grid aggregation
Most recent entities
Point to point
Term join

Searching your data

Creating filters from your map
Filtering a single layer
Searching across multiple indices

Connecting to Elastic Maps Service

Upload GeoJSON data

Indexing GeoJSON data tutorial

Elastic Maps troubleshooting

Metrics ( 度量、指标 )

Getting started with metrics
Using the Metrics app
Viewing infrastructure metrics
Metrics Explorer

Logs （日志）

Getting started with logs monitoring
Using the Logs app
Configuring the Logs data
Detecting and inspecting log anomalies

APM

Getting Started
Visualizing Application Bottlenecks
Using APM
- Filters
- Services overview
- Traces overview
- Transaction overview
- Span timeline
- Errors overview
- Metrics overview
- Machine Learning integration
- APM Agent configuration
- Advanced queries
- APM settings in Kibana
- Troubleshooting common problems

Uptime （正常运行时间）

Overview
Monitor

SIEM

Using the SIEM UI
Anomaly Detection with Machine Learning

Dev Tools （开发工具）

Console
Profiling queries and aggregations
- Getting Started
- Profiling a more complicated query
- Rendering pre-captured profiler JSON
Debugging grok expressions