Docker-compose Setup for Self-hosting Development & Deployment Tools
Last week I wrote about my self-hosted Sentry install in 3 Docker containers. This week I want to bring you the rest of my self-hosted tools for developers, all rolled into a convenient docker-compose.yml.
Contents
Version Control (GitLab)
Code Analysis (SonarQube)
Email (exim4)
Code Search (Etsy Hound)
Visualization (Grafana)
User Error Monitoring (Sentry)
System Monitoring (Prometheus)
Log Monitoring (ELK (Elasticsearch, Logstash, and Kibana))
Docker Web GUI (Portainer)
All Services Rolled Up
About The Configurations Shown
The configuration files described and shown below are exactly what I’m running at this time, 2018-04-05, (with personal details removed, of course) and therefore they may need to be adjusted slightly to your own preferences. Specifically, you will likely have to change the volumes for all the containers. I have them set to the /srv/$SERVICE_NAME and /srv/configs/$SERVICE_NAME paths for bulk data and configuration files respectively. The idea is that I would be able to move my docker-compose and configs directory to a new computer and immediately have this same stack up and running. Some bulk data may be lost, but I don’t consider any of it critical. The docker-compose file is using version 3.
Version Control (GitLab)
One of the most important developer tools is a version control system. Most developers use Git and especially GitHub. These are of course great tools, but I also run my own GitLab server. As the name suggests, GitLab uses the same Git system as always, but it has some more powerful features, chief among which is CI/CD. GitLab has a fairly simple continuous integration/continuous deployment system built in. It utilizes a .gitlab-ci.yml file placed in your repository to define operations to perform. It uses a separate docker container running GitLab Runner to spawn additional containers that execute the tasks you define in the gitlab-ci file. In addition to CI/CD, since you’re running your own server you can have as many private repositories as you want and even share private repositories with selected contributors.
Compose
The docker-compose section for my GitLab setup is shown below. Some things to note are that the GitLab Runner may need some additional setup, especially getting a registration token. Here are GitLab’s instructions for the registration process.
GitLab Stack
GitLab Stack
gitlab:
image: 'gitlab/gitlab-ce:latest'
restart: always
container_name: gitlab
hostname: # YOUR HOSTNAME ex. git.example.com
links:
- smtp
environment:
GITLAB_OMNIBUS_CONFIG: |
external_url '# YOUR URL ex. https://git.example.com #';
gitlab_rails['gitlab_email_from'] = '# YOUR EMAIL ADDRESS #';
gitlab_rails['gitlab_email_reply_to'] = '# YOUR EMAIL ADDRESS #';
gitlab_rails['smtp_enable'] = 'true';
gitlab_rails['smtp_address'] = 'smtp';
ports:
- '180:80'
volumes:
- '/srv/configs/gitlab/gitlab:/etc/gitlab'
- '/srv/gitlab/logs:/var/log/gitlab'
- '/srv/gitlab/data:/var/opt/gitlab'
End GitLab
GitLab CI/CD Runner
gitlab-runner:
image: 'gitlab/gitlab-runner:latest'
restart: always
container_name: gitlab-runner
links:
- gitlab
environment:
- CI_SERVER_URL=http://gitlab/
- RUNNER_NAME=local-docker-runner
- REGISTER_NON_INTERACTIVE=true
- REGISTRATION_TOKEN=# YOUR REGISTRATION TOKEN FROM GITLAB #
- RUNNER_EXECUTOR=docker
- DOCKER_IMAGE=ubuntu:artful
- REGISTER_LOCKED=false
volumes:
- /srv/configs/gitlab/gitlab-runner:/etc/gitlab-runner
- /srv/gitlab-runner/home:/home/gitlab-runner
- /var/run/docker.sock:/var/run/docker.sock
End GitLab CI/CD Runner
End GitLab Stack
Code Analysis (SonarQube)
Code just working isn’t good enough, you ought to enforce some guidelines on code style to avoid potential problems. One tool to do this is SonarQube, which is a static analysis tool. This means that it simply looks at your source code and will run a multitude of different rulesets against it looking for issues. It has support for all the popular languages and you can customize the rules that it enforces.
Compose
To use SonarQube you will need a MySQL or other supported server (the configuration below shows MySQL/MariaDB). You can run MySQL in another container or perhaps on a separate database server. Fill in the configuration below with the database information, and that should be all the setup required.
Sonarqube Static Code Analysis
sonarqube:
container_name: sonarqube
image: 'sonarqube:latest'
restart: always
links:
- smtp
ports:
- 780:9000
environment:
- SONARQUBE_JDBC_URL=jdbc:mysql://# MYSQL HOST #:3306/# MYSQL DATABASE #?useUnicode=true&characterEncoding=utf8&rewriteBatchedStatements=true&useConfigs=maxPerformance
- SONARQUBE_JDBC_USERNAME=# MYSQL USERNAME #
- SONARQUBE_JDBC_PASSWORD=# MYSQL PASSWORD #
volumes:
- /srv/sonarqube/conf:/opt/sonarqube/conf
- /srv/sonarqube/data:/opt/sonarqube/data
- /srv/sonarqube/extensions:/opt/sonarqube/extensions
- /srv/sonarqube/bundled-plugins:/opt/sonarqube/lib/bundled-plugins/opt/sonarqube/lib/bundled-plugins
End Sonarqube Static Code Analysis
Email (exim4)
Many of the containers described in this article can take advantage of emails to alert you of issues if you set them up. A really simple way to do this if you don’t have your own mail server is to just use your existing GMail account.
Compose
SMTP Email
smtp:
image: 'tianon/exim4:latest'
restart: always
environment:
GMAIL_USER: # YOUR GMAIL USERNAME #
GMAIL_PASSWORD: # YOUR GMAIL PASSWORD #
End SMTP Email
Code Search (Etsy Hound)
Occasionally you may find that you’re writing something that you know you’ve done before, but you just can’t seem to find what project or file its in. Hound is a very simple code search tool that indexes your repositories and allows you to search them using regular expressions. Hound requires a bit of configuration in config.json which you can learn about here.
Compose
Hound Code Search
hound:
container_name: hound
image: 'etsy/hound:latest'
restart: always
ports:
- 580:6080
volumes:
- /srv/configs/hound/config.json:/data/config.json
- /srv/hound/data:/data/data
End Hound Code Search
Example Hound Configuration
Here is an example configuration for Hound, just put in your GitHub URLs and project names.
{
"max-concurrent-indexers" : 5,
"dbpath" : "data",
"repos" : {
"graphPlayground" : {
"url" : "https://github.com/MikeDombo/graphPlayground.git",
"enable-push-updates" : true
}
}
}
Visualization (Grafana)
If any of your projects are generating some statistics or writing into a database, then maybe you’d like a simple dashboard to visualize them. Grafana is the best way to do this without writing it yourself. It allows you to hookup many different datasources including MySQL, Graphite, Prometheus, and more and then show data in appealing graphs, tables, etc. Grafana comes with some dashboards and there are more community generated dashboards on their site. Most of the configuration you’ll do with Grafana is to setup a dashboard the way you like it.
Compose
Grafana Dashboard
grafana:
container_name: grafana
image: 'grafana/grafana:latest'
restart: always
links:
- smtp
ports:
- 680:3000
environment:
- GF_SERVER_ENABLE_GZIP=true
- GF_SERVER_ROOT_URL=%(protocol)s://%(domain)s/
- GF_SERVER_DOMAIN=# DOMAIN ex. graphs.example.com #
- GF_SMTP_ENABLED=true
- GF_SMTP_HOST=smtp
- GF_AUTH_ORG_NAME=anon_org
- GF_AUTH_ANONYMOUS_ENABLED=true
volumes:
- /srv/configs/grafana:/var/lib/grafana
End Grafana Dashboard
User Error Monitoring (Sentry)
See my post from last week to configure a self-hosted Sentry to collect errors that users encounter while using your applications.
System Monitoring (Prometheus)
Prometheus is one of several popular time-series databases. I use it to collect load, network, and other statistics from servers and Docker containers. I have it configured using Google CAdvisor and Prometheus’s node-exporter to gather stats on containers and hosts respectively. I then use Grafana to visualize the data from Prometheus.
Compose
Prometheus Monitoring Stack
prometheus:
container_name: prometheus
image: 'prom/prometheus:latest'
restart: always
links:
- grafana
- cadvisor
- node-exporter
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/usr/share/prometheus/console_libraries'
- '--web.console.templates=/usr/share/prometheus/consoles'
volumes:
- /srv/configs/prometheus:/etc/prometheus
- /srv/prometheus:/prometheus
Monitoring for this host
node-exporter:
image: prom/node-exporter
container_name: prometheus_node-exporter
volumes:
- /proc:/host/proc:ro
- /sys:/host/sys:ro
- /:/rootfs:ro
command:
- '--path.procfs=/host/proc'
- '--path.sysfs=/host/sys'
- --collector.filesystem.ignored-mount-points
- "^/(sys|proc|dev|host|etc|rootfs/var/lib/docker/containers|rootfs/var/lib/docker/overlay2|rootfs/run/docker/netns|rootfs/var/lib/docker/aufs)($|/)"
restart: always
Docker container monitoring
cadvisor:
image: google/cadvisor
restart: always
volumes:
- /:/rootfs:ro
- /var/run:/var/run:rw
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
End Prometheus Monitoring Stack
Prometheus Configuration
Here as the Prometheus configuration that I used prometheus.yml to get node-exporter and cadvisor data into my Prometheus. Put it in /srv/configs/prometheus/prometheus.yml if you’re using my docker-compose file from above.
my global config
global:
scrape_interval: 15s # By default, scrape targets every 15 seconds.
evaluation_interval: 15s # By default, scrape targets every 15 seconds.
scrape_timeout is set to the global default (10s).
A scrape configuration containing exactly one endpoint to scrape:
Here it's Prometheus itself.
scrape_configs:
The job name is added as a label job=<job_name> to any timeseries scraped from this config.
job_name: 'prometheus'
Override the global default and scrape targets from this job every 5 seconds.
scrape_interval: 5s
static_configs:
- targets: ['localhost:9090']
job_name: 'node-exporter'
Override the global default and scrape targets from this job every 5 seconds.
scrape_interval: 5s
static_configs:
- targets: ['node-exporter:9100']
job_name: 'cadvisor'
Override the global default and scrape targets from this job every 5 seconds.
scrape_interval: 5s
static_configs:
- targets: ['cadvisor:8080']
Log Monitoring (ELK (Elasticsearch, Logstash, and Kibana))
To store and search through logs including Apache access and error logs and Linux system logs I use the ELK stack from Elastic.co.
For configuration, you’ll have to setup Filebeat or some other way to get logs from your server and into ELK.
- targets: ['cadvisor:8080']
Compose
ELK Stack
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:6.3.0
container_name: elasticsearch
restart: always
volumes:
- /srv/configs/elk/elasticsearch/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml:ro
- /srv/elk/elasticsearch/data:/usr/share/elasticsearch/data
ports:
- "9200:9200"
- "9300:9300"
environment:
ES_JAVA_OPTS: "-Xmx256m -Xms256m"
networks:
- elk
logstash:
image: docker.elastic.co/logstash/logstash-oss:6.3.0
container_name: logstash
restart: always
volumes:
- /srv/configs/elk/logstash/config:/usr/share/logstash/config:ro
- /srv/configs/elk/logstash/pipeline:/usr/share/logstash/pipeline:ro
ports:
- "5000:5000"
environment:
LS_JAVA_OPTS: "-Xmx256m -Xms256m"
networks:
- elk
depends_on:
- elasticsearch
kibana:
image: docker.elastic.co/kibana/kibana-oss:6.3.0
container_name: kibana
restart: always
volumes:
- /srv/configs/elk/kibana/:/usr/share/kibana/config:ro
ports:
- "5601:5601"
networks:
- elk
depends_on:
- elasticsearch
End ELK Stack
networks:
ELK Stack Network
elk:
driver: bridge
End ELK Stack Network
Configuration
I use the default ElasticSearch and Logstash configuration, and the following for Kibana. I also am including here a pipeline/logstash.conf which has rules for Apache access and error, PHP error, and Syslogs.
Kibana.yml
server.name: kibana
server.host: "0.0.0.0"
elasticsearch.url: http://elasticsearch:9200
pipeline/logstash.conf
input {
beats {
port => 5000
ssl => false
}
}
PHP
filter {
if "php_error" in [tags] {
grok {
match => { "message" => "^[(?%{MONTHDAY}-%{MONTH}-%{YEAR} %{TIME} (%{TZ}|(\w+/\w+)))] ?%{GREEDYDATA:message}" }
overwrite => [ "message" ]
}
date {
match => [ "logtime", "d-MMM-yyyy HH:mm:ss ZZZ" ]
remove_field => [ "logtime" ]
}
}
}
Apache Access and Error
filter {
if "apache_access" in [tags] {
grok {
match => [
"message" , "%{COMBINEDAPACHELOG}+%{GREEDYDATA:extra_fields}",
"message" , "%{COMMONAPACHELOG}+%{GREEDYDATA:extra_fields}"
]
overwrite => [ "message" ]
}
mutate {
convert => ["response", "integer"]
convert => ["bytes", "integer"]
convert => ["responsetime", "float"]
}
geoip {
source => "clientip"
target => "geoip"
add_tag => [ "apache-geoip" ]
}
date {
match => [ "timestamp" , "dd/MMM/YYYY:HH:mm:ss Z" ]
remove_field => [ "timestamp" ]
}
useragent {
source => "agent"
}
}
if "apache_error" in [tags] {
grok {
match => [ "message", "%{HTTPD_ERRORLOG}" ]
overwrite => ["message"]
}
if !("_grokparsefailure" in [tags]) {
geoip {
source => "clientip"
}
}
}
}
Syslog
filter {
if "syslog" in [tags] {
grok {
match => [ "message", "%{SYSLOGTIMESTAMP:syslog_timestamp} %{SYSLOGHOST:syslog_hostname} %{DATA:syslog_program}(?:[%{POSINT:syslog_pid}])?: %{GREEDYDATA:message}" ]
overwrite => ["message"]
}
date {
match => [ "syslog_timestamp", "MMM d HH:mm:ss", "MMM dd HH:mm:ss" ]
timezone => "America/New_York"
}
}
}
Removing annoying tag
filter {
if "beats_input_codec_plain_applied" in [tags] {
mutate {
remove_tag => ["beats_input_codec_plain_applied"]
}
}
}
Output
output {
elasticsearch {
hosts => "elasticsearch:9200"
sniffing => true
manage_template => false
document_type => "%{[@metadata][type]}"
}
}
Docker Web GUI (Portainer)
The simplest of all configurations, Portainer is a web app that enables you to manage your Docker containers.
Compose
Portainer Docker Web GUI
portainer:
container_name: portainer
image: 'portainer/portainer:latest'
restart: always
ports:
- '480:9000'
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- /srv/configs/portainer:/data
End Portainer Docker Web GUI
All Rolled Up
For your convenience, here’s the whole docker-compose that I described in parts above. Many of the containers won’t run as-is, instead they’ll require a bit more configuration.
Compose
version: '3'
services:
##### GitLab Stack #####
##### GitLab Stack #####
gitlab:
image: 'gitlab/gitlab-ce:latest'
restart: always
container_name: gitlab
hostname: # YOUR HOSTNAME ex. git.example.com
links:
- smtp
environment:
GITLAB_OMNIBUS_CONFIG: |
external_url '# YOUR URL ex. https://git.example.com #';
gitlab_rails['gitlab_email_from'] = '# YOUR EMAIL ADDRESS #';
gitlab_rails['gitlab_email_reply_to'] = '# YOUR EMAIL ADDRESS #';
gitlab_rails['smtp_enable'] = 'true';
gitlab_rails['smtp_address'] = 'smtp';
ports:
- '180:80'
volumes:
- '/srv/configs/gitlab/gitlab:/etc/gitlab'
- '/srv/gitlab/logs:/var/log/gitlab'
- '/srv/gitlab/data:/var/opt/gitlab'
##### End GitLab #####
##### GitLab CI/CD Runner #####
gitlab-runner:
image: 'gitlab/gitlab-runner:latest'
restart: always
container_name: gitlab-runner
links:
- gitlab
environment:
- CI_SERVER_URL=http://gitlab/
- RUNNER_NAME=local-docker-runner
- REGISTER_NON_INTERACTIVE=true
- REGISTRATION_TOKEN=# YOUR REGISTRATION TOKEN FROM GITLAB #
- RUNNER_EXECUTOR=docker
- DOCKER_IMAGE=ubuntu:artful
- REGISTER_LOCKED=false
volumes:
- /srv/configs/gitlab/gitlab-runner:/etc/gitlab-runner
- /srv/gitlab-runner/home:/home/gitlab-runner
- /var/run/docker.sock:/var/run/docker.sock
##### End GitLab CI/CD Runner #####
##### End GitLab Stack #####
##### Sonarqube Static Code Analysis #####
sonarqube:
container_name: sonarqube
image: 'sonarqube:latest'
restart: always
links:
- smtp
ports:
- 780:9000
environment:
- SONARQUBE_JDBC_URL=jdbc:mysql://# MYSQL HOST #:3306/# MYSQL DATABASE #?useUnicode=true&characterEncoding=utf8&rewriteBatchedStatements=true&useConfigs=maxPerformance
- SONARQUBE_JDBC_USERNAME=# MYSQL USERNAME #
- SONARQUBE_JDBC_PASSWORD=# MYSQL PASSWORD #
volumes:
- /srv/sonarqube/conf:/opt/sonarqube/conf
- /srv/sonarqube/data:/opt/sonarqube/data
- /srv/sonarqube/extensions:/opt/sonarqube/extensions
- /srv/sonarqube/bundled-plugins:/opt/sonarqube/lib/bundled-plugins/opt/sonarqube/lib/bundled-plugins
##### End Sonarqube Static Code Analysis #####
##### SMTP Email #####
smtp:
image: 'tianon/exim4:latest'
restart: always
environment:
GMAIL_USER: # YOUR GMAIL USERNAME #
GMAIL_PASSWORD: # YOUR GMAIL PASSWORD #
##### End SMTP Email #####
##### Hound Code Search #####
hound:
container_name: hound
image: 'etsy/hound:latest'
restart: always
ports:
- 580:6080
volumes:
- /srv/configs/hound/config.json:/data/config.json
- /srv/hound/data:/data/data
##### End Hound Code Search #####
##### Grafana Dashboard #####
grafana:
container_name: grafana
image: 'grafana/grafana:latest'
restart: always
links:
- smtp
ports:
- 680:3000
environment:
- GF_SERVER_ENABLE_GZIP=true
- GF_SERVER_ROOT_URL=%(protocol)s://%(domain)s/
- GF_SERVER_DOMAIN=# DOMAIN ex. graphs.example.com #
- GF_SMTP_ENABLED=true
- GF_SMTP_HOST=smtp
- GF_AUTH_ORG_NAME=anon_org
- GF_AUTH_ANONYMOUS_ENABLED=true
volumes:
- /srv/configs/grafana:/var/lib/grafana
##### End Grafana Dashboard #####
##### Sentry Stack #####
sentry-base:
image: 'sentry:latest'
container_name: sentry-base
restart: always
depends_on:
- sentry-redis
- sentry-postgres
links:
- sentry-redis
- sentry-postgres
ports:
- 880:9000
env_file:
- sentry.env
volumes:
- /srv/configs/sentry/sentry:/var/lib/sentry/files
sentry-cron:
image: 'sentry:latest'
container_name: sentry-cron
restart: always
depends_on:
- sentry-redis
- sentry-postgres
links:
- sentry-redis
- sentry-postgres
command: "sentry run cron"
env_file:
- sentry.env
volumes:
- /srv/configs/sentry/sentry:/var/lib/sentry/files
sentry-worker:
image: 'sentry:latest'
container_name: sentry-worker
restart: always
depends_on:
- sentry-redis
- sentry-postgres
links:
- sentry-redis
- sentry-postgres
command: "sentry run worker"
env_file:
- sentry.env
volumes:
- /srv/configs/sentry/sentry:/var/lib/sentry/files
sentry-redis:
image: 'redis:alpine'
container_name: sentry-redis
restart: always
sentry-postgres:
image: 'postgres:latest'
container_name: sentry-postgres
restart: always
environment:
POSTGRES_USER: sentry
POSTGRES_PASSWORD: sentry
POSTGRES_DB: sentry
volumes:
- /srv/configs/sentry/postgres:/var/lib/postgresql/data
##### End Sentry Stack #####
##### Prometheus Monitoring Stack #####
prometheus:
container_name: prometheus
image: 'prom/prometheus:latest'
restart: always
links:
- grafana
- cadvisor
- node-exporter
command:
- '--config.file=/etc/prometheus/prometheus.yml'
- '--storage.tsdb.path=/prometheus'
- '--web.console.libraries=/usr/share/prometheus/console_libraries'
- '--web.console.templates=/usr/share/prometheus/consoles'
volumes:
- /srv/configs/prometheus:/etc/prometheus
- /srv/prometheus:/prometheus
# Monitoring for this host #
node-exporter:
image: prom/node-exporter
container_name: prometheus_node-exporter
volumes:
- /proc:/host/proc:ro
- /sys:/host/sys:ro
- /:/rootfs:ro
command:
- '--path.procfs=/host/proc'
- '--path.sysfs=/host/sys'
- --collector.filesystem.ignored-mount-points
- "^/(sys|proc|dev|host|etc|rootfs/var/lib/docker/containers|rootfs/var/lib/docker/overlay2|rootfs/run/docker/netns|rootfs/var/lib/docker/aufs)($|/)"
restart: always
# Docker container monitoring #
cadvisor:
image: google/cadvisor
restart: always
volumes:
- /:/rootfs:ro
- /var/run:/var/run:rw
- /sys:/sys:ro
- /var/lib/docker/:/var/lib/docker:ro
##### End Prometheus Monitoring Stack #####
##### ELK Stack #####
elasticsearch:
image: docker.elastic.co/elasticsearch/elasticsearch-oss:6.3.0
container_name: elasticsearch
restart: always
volumes:
- /srv/configs/elk/elasticsearch/elasticsearch.yml:/usr/share/elasticsearch/config/elasticsearch.yml:ro
- /srv/elk/elasticsearch/data:/usr/share/elasticsearch/data
ports:
- "9200:9200"
- "9300:9300"
environment:
ES_JAVA_OPTS: "-Xmx256m -Xms256m"
networks:
- elk
logstash:
image: docker.elastic.co/logstash/logstash-oss:6.3.0
container_name: logstash
restart: always
volumes:
- /srv/configs/elk/logstash/config:/usr/share/logstash/config:ro
- /srv/configs/elk/logstash/pipeline:/usr/share/logstash/pipeline:ro
ports:
- "5000:5000"
environment:
LS_JAVA_OPTS: "-Xmx256m -Xms256m"
networks:
- elk
depends_on:
- elasticsearch
kibana:
image: docker.elastic.co/kibana/kibana-oss:6.3.0
container_name: kibana
restart: always
volumes:
- /srv/configs/elk/kibana/:/usr/share/kibana/config:ro
ports:
- "5601:5601"
networks:
- elk
depends_on:
- elasticsearch
##### End ELK Stack #####
##### Portainer Docker Web GUI #####
portainer:
container_name: portainer
image: 'portainer/portainer:latest'
restart: always
ports:
- '480:9000'
volumes:
- /var/run/docker.sock:/var/run/docker.sock
- /srv/configs/portainer:/data
##### End Portainer Docker Web GUI #####
networks:
##### ELK Stack Network #####
elk:
driver: bridge
##### End ELK Stack Network #####
from https://mikedombrowski.com/2018/04/docker-compose-setup-for-self-hosting-development-tools/
Docker-compose Setup for Self-hosting Development & Deployment Tools的更多相关文章
- Docker Compose 之进阶篇
笔者在前文<Docker Compose 简介>和<Dcoker Compose 原理>两篇文章中分别介绍了 docker compose 的基本概念以及实现原理.本文我们将继 ...
- 使用docker compose编排容器
一.安装docker compose 二进制包安装 1.安装 Docker Compose 从 官方 GitHub Release 处直接下载编译好的二进制文件即可 # curl -L https:/ ...
- kubernetes 实战6_命令_Share Process Namespace between Containers in a Pod&Translate a Docker Compose File to Kubernetes Resources
Share Process Namespace between Containers in a Pod how to configure process namespace sharing for a ...
- [Docker] Converting from Docker Compose to Kubernetes
kompose is a tool to help users who are familiar with docker-compose move to Kubernetes. kompose tak ...
- Docker Compose—简化复杂容器应用的利器
Compose是用于定义和运行复杂Docker应用的工具.你可以在一个文件中定义一个多容器的应用,然后使用一条命令来启动你的应用,然后所有相关的操作都会被自动完成. 1. 安装Docker和Compo ...
- .NET遇上Docker - 使用Docker Compose组织Ngnix和.NETCore运行
本文工具准备: Docker for Windows Visual Studio 2015 与 Visual Studio Tools for Docker 或 Visual Studio 2017 ...
- Docker学习笔记 - Docker Compose 脚本命令
Docker Compose 配置文件包含 version.services.networks 三大部分,最关键的是 services 和 networks 两个部分, version: '2' se ...
- Docker入门(三)使用Docker Compose
Compose介绍 Compose 项目是 Docker 官方的开源项目,负责实现对 Docker 容器集群的快速编排.Compose 是一个用户定义和运行多个容器的 Docker 应用程序.在 ...
- Docker Compose 原理
Docker 的优势非常明显,尤其是对于开发者来说,它提供了一种全新的软件发布机制.也就是说使用 docker 镜像作为软件产品的载体,使用 docker 容器提供独立的软件运行上下文环境,使用 do ...
随机推荐
- Day4 循环结构
for-in循环 如果明确的知道循环执行的次数或者是要对一个容器进行迭代(后面会讲到),那么我们推荐使用for-in循环,例如下面代码中计算$\sum_{n=1}^{100}n$. range函数用法 ...
- eas之设置编辑界面分录的某一列不可编辑
KDTEntrys.getColumn(“xx”).getStayAttributes().setlokced(true);
- swift-自动计算字符串的宽高
写一个方法来继承String //自动控制文字换行及宽度 extension String { func textSizeWithFont(font: UIFont, constrainedToSiz ...
- CentOS7.2 多个python版本共存
1.查看是否已经安装Python CentOS 7.2 默认安装了python2.7.5 因为一些命令要用它比如yum 它使用的是python2.7.5. 使用python -V命令查看一下是否安装P ...
- Spring Cloud 各个组件介绍
从上图可以看出 Spring Cloud 各个组件相互配合,合作支持了一套完整的微服务架构: Eureka 负责服务的注册与发现,很好地将各服务连接起来. Hystrix 负责监控服务之间的调用情况, ...
- BZOJ 1396 识别子串 (后缀自动机、线段树)
手动博客搬家: 本文发表于20181221 00:58:26, 原地址https://blog.csdn.net/suncongbo/article/details/85150962 嗯,以后博客内容 ...
- Spring MVC学习总结(3)——Spring3 MVC详解
DispatcherServlet 前置控制器 使用Spring MVC,配置DispatcherServlet是第一步.DispatcherServlet是一个Servlet,所以可以配置多个Dis ...
- netty helloWord (一)
什么是nettty netty是基于javaNio模型的网络编程框架.很多框架底层也是用netty实现的 比如dubbo 与NIO的区别 1.简化了API的使用.基于事件驱动.只需要在对应的事件写相应 ...
- HDU 1115
题意很明白要求多边形重心.方法已在上篇讲过了. #include <iostream> #include <cstdio> #include <cstring> # ...
- POJ 3207
还是那句话,做2SAT题时,找出矛盾点基本上可解了.这道题也是这样 题意是说给出一个圆上的 n 个点(0~n-1编号),然后在指定的 m 对点之间各连一条线(可以在圆内,也可以在圆外,可以是曲线,这点 ...