如何在ELK中升级elasticsearch Docker 图片

How to upgrade elasticsearch in ELK Docker Image

我使用以下命令在 Linux 服务器上安装了 elk docker 映像:

sudo docker pull sebp/elk

这将拉取最新版本的 elk docker 镜像,即 7.8.0,以及堆栈中的每个服务(elasticsearchlogstashkibana) 也有版本 7.8.0.

出于安全原因,我需要将 elasticsearch 升级到 7.9.0。如何在继续使用 sebp/elk docker 图像的同时执行此操作?

Elk 打包并运行s 所有 3 项服务并默认链接它们。使用此设置,您不能仅拆分和升级 elasticsearch。

我建议您 运行 使用 docker-compose 独立地使用所有三个服务。使每个服务都能有您选择的图像。

示例docker-compose供您参考:

version: '3.2'

services:
  elasticsearch:
    image: IMAGE_GOES_HERE
    volumes:
      - type: bind
        source: ./elasticsearch/config/elasticsearch.yml
        target: /usr/share/elasticsearch/config/elasticsearch.yml
        read_only: true
      - type: volume
        source: elasticsearch
        target: /usr/share/elasticsearch/data
    ports:
      - "9200:9200"
      - "9300:9300"
    environment:
      ES_JAVA_OPTS: "-Xmx256m -Xms256m"
      ELASTIC_PASSWORD: changeme
      # Use single node discovery in order to disable production mode and avoid bootstrap checks
      # see https://www.elastic.co/guide/en/elasticsearch/reference/current/bootstrap-checks.html
      discovery.type: single-node
    networks:
      - elk

  logstash:
    image: IMAGE_GOES_HERE
    volumes:
      - type: bind
        source: ./logstash/config/logstash.yml
        target: /usr/share/logstash/config/logstash.yml
        read_only: true
      - type: bind
        source: ./logstash/pipeline
        target: /usr/share/logstash/pipeline
        read_only: true
    ports:
      - "5000:5000/tcp"
      - "5000:5000/udp"
      - "9600:9600"
    environment:
      LS_JAVA_OPTS: "-Xmx256m -Xms256m"
    networks:
      - elk
    depends_on:
      - elasticsearch

  kibana:
    image: IMAGE_GOES_HERE
    volumes:
      - type: bind
        source: ./kibana/config/kibana.yml
        target: /usr/share/kibana/config/kibana.yml
        read_only: true
    ports:
      - "5601:5601"
    networks:
      - elk
    depends_on:
      - elasticsearch

networks:
  elk:
    driver: bridge

volumes:
  elasticsearch: