Docker--Kibana

Quick reference

Quick reference (cont.)

What is Kibana?

Kibana is an open source analytics and visualization platform designed to work with Elasticsearch. You use Kibana to search, view, and interact with data stored in Elasticsearch indices. You can easily perform advanced data analysis and visualize your data in a variety of charts, tables, and maps.

For more information about Kibana, please visit www.elastic.co/products/kibana⁠

About This Image

This default distribution is governed by the Elastic License, and includes the full set of free features⁠.

View the detailed release notes here⁠.

Not the version you're looking for? View all supported past releases⁠.

How to use this image

Note: Pulling an images requires using a specific version number tag. The latest tag is not supported.

For Kibana versions prior to 6.4.0 a full list of images, tags, and documentation can be found at docker.elastic.co⁠.

For full Kibana documentation see here⁠.

Running in Development Mode

In the given example, Kibana will a attach to a user defined network (useful for connecting to other services (e.g. Elasticsearch)). If network has not yet been created, this can be done with the following command:

复制代码
$ docker network create somenetwork

Note: In this example, Kibana is using the default configuration and expects to connect to a running Elasticsearch instance at http://localhost:9200⁠

Run Kibana

复制代码
$ docker run -d --name kibana --net somenetwork -p 5601:5601 kibana:tag

Kibana can be accessed by browser via http://localhost:5601 or http://host-ip:5601

Running in Production Mode

For additional information on running and configuring Kibana on Docker, see Running Kibana on Docker⁠

License

View license information⁠ for the software contained in this image.

As with all Docker images, these likely also contain other software which may be under other licenses (such as Bash, etc from the base distribution, along with any direct or indirect dependencies of the primary software being contained).

Some additional license information which was able to be auto-detected might be found in the repo-info repository's kibana/ directory⁠.

As for any pre-built image usage, it is the image user's responsibility to ensure that any use of this image complies with any relevant licenses for all software contained within.

相关推荐
迷路爸爸1801 小时前
Docker 入门学习笔记 06:用一个可复现的 Python 项目真正理解 Dockerfile
笔记·学习·docker
斯普信云原生组1 小时前
Docker 开源软件应急处理方案及操作手册——容器运行异常处理
docker·容器·eureka
摆烂z2 小时前
对外访问网络限制*.aliyuncs.com开放也拉不下来和查看docker容器结构
运维·docker·容器
斯普信云原生组2 小时前
Docker 开源软件应急处理方案及操作手册——资源限制与性能瓶颈
docker·容器·eureka
我科绝伦(Huanhuan Zhou)3 小时前
分享一个很实用的K8S巡检脚本
linux·docker·kubernetes
迷路爸爸1803 小时前
Docker 入门学习笔记 05:卷到底是什么,为什么容器删了数据却还能保留
笔记·学习·docker
恼书:-(空寄3 小时前
Docker 进阶核心实战:自定义镜像 + Dockerfile + Docker Compose
docker·容器·docker compose
●VON4 小时前
本地大模型部署实录:从Docker环境搭建到Open WebUI公网访问
运维·docker·容器·大模型
迷路爸爸1804 小时前
Docker 入门学习笔记 03:端口映射到底是什么,为什么容器启动了却访问不到
笔记·学习·docker
迷路爸爸1804 小时前
Docker 入门学习笔记 07:用一个多服务案例真正理解 Docker Compose
运维·笔记·学习·spring cloud·docker·容器·eureka