微服务实践——Docker与服务发现
Docker Java App Load Balanced By Nginx Or Apache HTTP, Mongo Replica Set And Hazelcast Cluster
背景
为了发挥Docker在跨多个服务器的分布式应用程序的部署(甚至是跨区域)的能力,人们不应该限制哪些服务进到哪个服务器。动态可扩展性(或自动缩放)的关键环境的要求(如生产环境)不只是适用于新的微服务架构设计。也适用于典型的单片应用程序的部署。如果这些服务绑定在特定的服务器上,那么这些程序的未来的可扩展性是很困难的。
为了能够实现服务发现,我们需要满足以下条件:
- Service registration 在服务器上保存这些正在运行服务的端口。
- Service discovery 实现发现我们在服务器保存在注册过程中的信息
我们还要实现强的服务,以满足企业级对服务发现的要求。包括以下这些问题:
- 我们如何注销停止工作的服务?
- 我们如何对这些”发现了的”服务实施负载均衡?
- 如果服务在横向扩展或者缩放的过程中被删除了怎么办?
大多数典型的服务发现工具拥有某种高度可用的分布式(key/value)存储,大家可以参考阅读这篇博客 http://technologyconversations.com/2015/09/08/service-discovery-zookeeper-vs-etcd-vs-consul/
这些工具的主要缺点是他们自己在容器中运行对第三方工具的依赖。为了使用Consul,打个比方。一个用户需要在程序中使用Consul 和Registrator 容器-这一定会使容器的数量增加。那么用户就需要管理这些容器。
DCHQ,从另一方面说。如果使用代理来协调服务注册和服务发现。把信息存储在底层DCHQ数据库。这意味着我们不需要附加的容器。另外,服务发现框架,允许用户自定义某些事件需要被执行的同时,利用的不只是IP和应用程序中的其他容器的主机名的信息提供了更大的灵活性。在部署的时候使用的也是环境变量的值。
这并不等于说服务发现框架使用DHCQ就能完全替代其它工具,最好的工具还是能够满足业务的需求。
在这篇blog中,我们将介绍使用Docker部署3个服务发现的程序,包括: Nginx & Apache HTTP Server load balancing , Mongo Replica Set and Hazelcast Cluster .
包括以下内容:
- 构建能够在任意Linux 主机上面运行的YAML-based 程序模板
- 在任何云基础架构上的配置和自动扩展(本文我们以Microsoft Azure为例)
- 在Microsoft Azure集群部署分布式,高可用性应用程序
- 监控运行容器的 CPU, Memory & I/O
- Tomacat 应用服务集群扩展
- MongoDB的分片服务扩展
- Hazelcast 集群扩展
构建能够在任意Linux 主机上面运行的YAML-based 程序模板
用户一旦登录到DCHQ (either the hosted DCHQ.io or on-premise version),用户可以导航到 Manage > App/Machine,然后可以点击 +创建新的 Docker Compose模板
我们使用 Docker Hub官方镜像创建了5 个程序的模板
这些模板包括了一下程序栈:
- Multi-Tier Java Application with Nginx, Tomcat, Solr and Mongo — using Consul and Registrator for service discovery
- Multi-Tier Java Application with Nginx, Tomcat, Solr and Mongo — using DCHQ’s service discovery framework
- Multi-Tier Java Application with Apache HTTP Server, Tomcat, Solr, and Cassandra) — using DCHQ’s service discovery framework
- Mongo Replica Set — using DCHQ’s service discovery framework
- Hazelcast Cluster — using DCHQ’s service discovery framework
更多关于Docker application modeling in DCHQ的资料可以访问: http://dchq.co/docker-compose.html
更多关于Docker service discovery in DCHQ的资料可以访问: http://dchq.co/docker-service-discovery.html
Request Time & Post-Provision 的Web Servers 和 Application Servers配置插件
通过这些程序的模板,你会发现一些容器为了配置容器会调用Bash脚本插件。这些脚本对post-provision操作执行的非常好。
这些插件可以在 Manage > Plug-ins导航中创建,一旦这些脚本启动是,DHCQ代理服务会执行这些容器里面的脚本。用户可以指定一个能被在请求之后被覆盖的参数。在$符号之前的都可以被成为参数,比如: $file_url 可以是一个参数,它允许开发者指定的网址下载一个WAR文件,还可以在当用户希望更新运行在容器上例如Java WAR文件请求时间和后规定被覆盖:
该插件ID需要在定义YAML应用程序模板时候提供,例如:调用Nginxbash脚本插件。我们可以参照下面的plug-in ID:
Nginx: image: nginx:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: 0H1Nk restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer, post_stop:AppServer, post_start:AppServer arguments: # Use container_private_ip if you're using Docker networking - servers=server {{AppServer | container_private_ip}}:8080; # Use container_hostname if you're using Weave networking #- servers=server {{AppServer | container_hostname}}:8080;
Nginx: image: nginx:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: 0H1Nk restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer, post_stop:AppServer, post_start:AppServer arguments: # Use container_private_ip if you're using Docker networking - servers=server {{AppServer | container_private_ip}}:8080; # Use container_hostname if you're using Weave networking #- servers=server {{AppServer | container_hostname}}:8080;
你会发现,同样的Nginx插件,在不同的阶段得到了执行。
- 当 Nginx 容器 创建的时候 — 在这种情况下, 应用程序的容器IP会被注入到默认配置文件下面。以便实现服务的负载均衡。
- 当应用程序服务集群需要缩放或者扩展的时候 — 在这种情况下, 更新后应用程序容器的IP地址会被注入到默认的配置文件中,以便更好的实现负载均衡。
- 当应用程序停止或者启动时— 在这种情况下,更新后应用程序容器的IP地址会被注入到默认的配置文件中,以便更好的实现负载均衡。
然而这里的服务发现框架同时做着服务发现和服务注册的事情。
服务发现插件的生命周期
- on_create — executes the plug-in when creating the container
- on_start — executes the plug-in after a container starts
- on_stop — executes the plug-in before a container stops
- on_destroy — executes the plug-in before destroying a container
- post_create — executes the plug-in after the container is created and running
- post_start[:Node] — executes the plug-in after another container starts
- post_stop[:Node] — executes the plug-in after another container stops
- post_destroy[:Node] — executes the plug-in after another container is destroyed
- post_scale_out[:Node] — executes the plug-in after another cluster of containers is scaled out
- post_scale_in[:Node] — executes the plug-in after another cluster of containers is scaled in
要访问Nginx, Apache HTTP Server (httpd), Mongo Replica Set, and Hazelcast Cluster需要遵循EULA许可。
- Sign Up for FREE on DCHQ.io — http://dchq.io (no credit card required)
- Download DCHQ On-Premise Standard Edition for FREE — http://dchq.co/dchq-on-premise-download.html
配置部署在多台主机HA的cluster_size与host 参数
- host1, host2, host3 , etc. – selects a host randomly within a data-center (or cluster) for container deployments
- IP Address 1, IP Address 2, etc. — allows a user to specify the actual IP addresses to use for container deployments
- Hostname 1, Hostname 2, etc. — allows a user to specify the actual hostnames to use for container deployments
- Wildcards (e.g. “db- ”, or “app-srv- ”) – to specify the wildcards to use within a hostname
通过镜像绑定环境变量
- {{alphanumeric | 8}} – creates a random 8-character alphanumeric string. This is most useful for creating random passwords.
- {{Image Name | ip}} – allows you to enter the host IP address of a container as a value for an environment variable. This is most useful for allowing the middleware tier to establish a connection with the database.
- {{Image Name | container_ip}} – allows you to enter the name of a container as a value for an environment variable. This is most useful for allowing the middleware tier to establish a secure connection with the database (without exposing the database port).
- {{Image Name | container_private_ip}} – allows you to enter the internal IP of a container as a value for an environment variable. This is most useful for allowing the middleware tier to establish a secure connection with the database (without exposing the database port).
- {{Image Name | port_Port Number}} – allows you to enter the Port number of a container as a value for an environment variable. This is most useful for allowing the middleware tier to establish a connection with the database. In this case, the port number specified needs to be the internal port number – i.e. not the external port that is allocated to the container. For example, {{PostgreSQL | port_5432}} will be translated to the actual external port that will allow the middleware tier to establish a connection with the database.
- {{Image Name | Environment Variable Name}} – allows you to enter the value an image’s environment variable into another image’s environment variable. The use cases here are endless – as most multi-tier applications will have cross-image dependencies.
构建 Nginx Docker 镜像的 Consul
- Git URL – https://github.com/dchqinc/nginx-consul.git
- Git Branch – this field is optional — but a user can specify a branch from a GitHub project. The default branch is master.
- Git Credentials – a user can store the credentials to a private GitHub repository securely in DCHQ. This can be done by navigating to Manage > Cloud Providers and Repos and clicking on the + to select Credentials
- Cluster – the building of Docker images is orchestrated through the DCHQ agent. As a result, a user needs to select a cluster on which an agent will be used to execute the building of Docker images. If a cluster has not been created yet, please refer to this section to either register already running hosts or automate the provisioning of new virtual infrastructure.
- Push to Registry – a user can push the newly created image on either a public or private repository on Docker Hub or Quay. To register a Docker Hub or Quay account, a user should navigate to Manage > Cloud Providers and clicking on the + to select Docker Registries
- Repository – this is the name of the repository on which the image will be pushed. For example, our image was pushed to dchq/nginx-consul:latest
- Tag – this is the tag name that you would like to give for the new image. The supported tag names in DCHQ include:
- {{date}} — formatted date
- {{timestamp}} — the full time-stamp
- Cron Expression – a user can schedule the building of Docker images using out-of-box cron expressions. This facilitates daily and nightly builds for users. </ul>
- DigitalOcean: http://dchq.co/docker-digitalocean.html
- Amazon Elastic Cloud Computing (EC2): http://dchq.co/docker-aws.html
- Microsoft Azure: http://dchq.co/docker-azure.html
- Rackspace: http://dchq.co/docker-rackspace.html
- IBM SoftLayer: http://dchq.co/docker-softlayer.html
- VMware vSphere: http://dchq.co/docker-vsphere.html
Multi-Tier Java (Consul-Nginx-Tomcat-Solr-Mongo)
Nginx: image: dchq/nginx-consul:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: GINmu restart: true lifecycle: on_create arguments: - APPSERVER_IP={{AppServer | container_private_ip}} - SERVICE_NAME={{AppServer | SERVICE_NAME}} - SERVICE_TAGS={{AppServer | SERVICE_TAGS}} - CONSUL_IP={{Consul | container_private_ip}} AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - mongo_url={{Mongo|container_private_ip}}:27017/dchq - solr_host={{Solr|container_private_ip}} - solr_port=8983 - SERVICE_NAME=app - SERVICE_TAGS=production plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Consul: image: progrium/consul:latest host: host1 ports: - "8300:8300" - "8400:8400" - "8500:8500" - "8600:53/udp" command: -server -bootstrap -advertise 10.0.2.15 Registrator: image: gliderlabs/registrator:latest host: host1 command: consul://<HOST_IP>:8500 volumes: - "/var/run/docker.sock:/tmp/docker.sock" Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip Mongo: image: mongo:latest host: host1 mem_min: 400m
Nginx: image: dchq/nginx-consul:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: GINmu restart: true lifecycle: on_create arguments: - APPSERVER_IP={{AppServer | container_private_ip}} - SERVICE_NAME={{AppServer | SERVICE_NAME}} - SERVICE_TAGS={{AppServer | SERVICE_TAGS}} - CONSUL_IP={{Consul | container_private_ip}} AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - mongo_url={{Mongo|container_private_ip}}:27017/dchq - solr_host={{Solr|container_private_ip}} - solr_port=8983 - SERVICE_NAME=app - SERVICE_TAGS=production plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Consul: image: progrium/consul:latest host: host1 ports: - "8300:8300" - "8400:8400" - "8500:8500" - "8600:53/udp" command: -server -bootstrap -advertise 10.0.2.15 Registrator: image: gliderlabs/registrator:latest host: host1 command: consul://<HOST_IP>:8500 volumes: - "/var/run/docker.sock:/tmp/docker.sock" Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip Mongo: image: mongo:latest host: host1 mem_min: 400m
Multi-Tier Java (ApacheLB-Tomcat-Solr-Mongo)
HTTP-LB: image: httpd:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: uazUi restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer arguments: # Use container_private_ip if you're using Docker networking - BalancerMembers=BalancerMember http://{{AppServer | container_private_ip}}:8080 # Use container_hostname if you're using Weave networking #- BalancerMembers=BalancerMember http://{{AppServer | container_hostname}}:8080 AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - mongo_url={{Mongo|container_private_ip}}:27017/dchq - solr_host={{Solr|container_private_ip}} - solr_port=8983 plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip Mongo: image: mongo:latest host: host1 mem_min: 400m
HTTP-LB: image: httpd:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: uazUi restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer arguments: # Use container_private_ip if you're using Docker networking - BalancerMembers=BalancerMemberhttp://{{AppServer | container_private_ip}}:8080 # Use container_hostname if you're using Weave networking #- BalancerMembers=BalancerMember http://{{AppServer | container_hostname}}:8080 AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - mongo_url={{Mongo|container_private_ip}}:27017/dchq - solr_host={{Solr|container_private_ip}} - solr_port=8983 plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip Mongo: image: mongo:latest host: host1 mem_min: 400m
Multi-Tier Java (Nginx-Tomcat-Solr-MySQL)
Nginx: image: nginx:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: 0H1Nk restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer arguments: # Use container_private_ip if you're using Docker networking - servers=server {{AppServer | container_private_ip}}:8080; # Use container_hostname if you're using Weave networking #- servers=server {{AppServer | container_hostname}}:8080; AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - database_driverClassName=com.mysql.jdbc.Driver - database_url=jdbc:mysql://{{MySQL|container_hostname}}:3306/{{MySQL|MYSQL_DATABASE}} - database_username={{MySQL|MYSQL_USER}} - database_password={{MySQL|MYSQL_ROOT_PASSWORD}} - solr_host={{Solr|container_private_ip}} - solr_port=8983 plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip MySQL: image: mysql:latest host: host1 mem_min: 400m environment: - MYSQL_USER=root - MYSQL_DATABASE=names - MYSQL_ROOT_PASSWORD={{alphanumeric|8}}
Nginx: image: nginx:latest publish_all: true mem_min: 50m host: host1 plugins: - !plugin id: 0H1Nk restart: true lifecycle: on_create, post_scale_out:AppServer, post_scale_in:AppServer arguments: # Use container_private_ip if you're using Docker networking - servers=server {{AppServer | container_private_ip}}:8080; # Use container_hostname if you're using Weave networking #- servers=server {{AppServer | container_hostname}}:8080; AppServer: image: tomcat:8.0.21-jre8 mem_min: 600m host: host1 cluster_size: 1 environment: - database_driverClassName=com.mysql.jdbc.Driver - database_url=jdbc:mysql://{{MySQL|container_hostname}}:3306/{{MySQL|MYSQL_DATABASE}} - database_username={{MySQL|MYSQL_USER}} - database_password={{MySQL|MYSQL_ROOT_PASSWORD}} - solr_host={{Solr|container_private_ip}} - solr_port=8983 plugins: - !plugin id: oncXN restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/dbconnect.war - dir=/usr/local/tomcat/webapps/ROOT.war - delete_dir=/usr/local/tomcat/webapps/ROOT Solr: image: solr:latest mem_min: 300m host: host1 publish_all: false plugins: - !plugin id: doX8s restart: true arguments: - file_url=https://github.com/dchqinc/dchq-docker-java-solr-mongo-cassandra-example/raw/master/names.zip MySQL: image: mysql:latest host: host1 mem_min: 400m environment: - MYSQL_USER=root - MYSQL_DATABASE=names - MYSQL_ROOT_PASSWORD={{alphanumeric|8}}
Mongo Replica Set Cluster
mongo_rs1_srv1: image: mongo:latest mem_min: 400m publish_all: true command: --replSet rs1 environment: # inject clustered node ips - MONGO_RS1_SRV2_IP={{mongo_rs1_srv2|container_private_ip}} # The above mapping will insert comma separated ip list e.g. 10.1.1.1,10.1.12 plugins: - !plugin # This plugin initializes the Replica Set lifecycle: on_create id: QX25F - !plugin # This plug-in re-balances the Replica Set post scale out lifecycle: post_scale_out:mongo_rs1_srv2 id: sxKM9 - !plugin # This plug-in re-balances the Replica Set post scale in lifecycle: post_scale_in:mongo_rs1_srv2 id: YIALH # Define this node as clustered mongo_rs1_srv2: image: mongo:latest mem_min: 400m cpu_shares: 1 cluster_size: 2 command: --replSet rs1
mongo_rs1_srv1: image: mongo:latest mem_min: 400m publish_all: true command: --replSetrs1 environment: # inject clustered node ips - MONGO_RS1_SRV2_IP={{mongo_rs1_srv2|container_private_ip}} # The above mapping will insert comma separated ip list e.g. 10.1.1.1,10.1.12 plugins: - !plugin # This plugin initializes the Replica Set lifecycle: on_create id: QX25F - !plugin # This plug-in re-balances the Replica Set post scale out lifecycle: post_scale_out:mongo_rs1_srv2 id: sxKM9 - !plugin # This plug-in re-balances the Replica Set post scale in lifecycle: post_scale_in:mongo_rs1_srv2 id: YIALH # Define this node as clustered mongo_rs1_srv2: image: mongo:latest mem_min: 400m cpu_shares: 1 cluster_size: 2 command: --replSetrs1
Hazelcast Cluster
Hazelcast-Management-Center: image: hazelcast/management-center:latest # Use this configuration if deploying to a shared VM publish_all: true # (Recommended) Use this configuration if deploying to a dedicated VM #ports: # - 8080:8080 host: host1 environment: - HAZELCAST_IP={{Hazelcast | container_private_ip}} Hazelcast: image: hazelcast/hazelcast:latest # Use this configuration if deploying to a shared VM publish_all: true # (Recommended) Use this configuration if deploying to a dedicated VM #ports: # - 5701:5701 cluster_size: 1 host: host1 plugins: - !plugin id: Qgp4H lifecycle: post_create, post_scale_out:Hazelcast, post_scale_in:Hazelcast restart: true arguments: # Use this configuration if deploying to a shared VM - Hazelcast_IP=<member>{{Hazelcast | container_private_ip}}</member> # (Recommended) Use this configuration if deplying to a dedicated VM #- Hazelcast_IP=<member>{{Hazelcast | ip}}</member> - Management_Center_URL=http://{{Hazelcast-Management-Center | ip}}:{{Hazelcast-Management-Center | port_8080}}/mancenter environment: # Uncomment the line below to specify the heap size #- MIN_HEAP_SIZE="1g" # Uncomment the line below to provide your own hazelcast.xml file - JAVA_OPTS=-Dhazelcast.config=/opt/hazelcast/hazelcast.xml volumes: # Uncomment the line below if you plan to use your own hazelcast.xml file #- ./configFolder:./configFolder
Hazelcast-Management-Center: image: hazelcast/management-center:latest # Use this configuration if deploying to a shared VM publish_all: true # (Recommended) Use this configuration if deploying to a dedicated VM #ports: # - 8080:8080 host: host1 environment: - HAZELCAST_IP={{Hazelcast | container_private_ip}} Hazelcast: image: hazelcast/hazelcast:latest # Use this configuration if deploying to a shared VM publish_all: true # (Recommended) Use this configuration if deploying to a dedicated VM #ports: # - 5701:5701 cluster_size: 1 host: host1 plugins: - !plugin id: Qgp4H lifecycle: post_create, post_scale_out:Hazelcast, post_scale_in:Hazelcast restart: true arguments: # Use this configuration if deploying to a shared VM - Hazelcast_IP=<member>{{Hazelcast | container_private_ip}}</member> # (Recommended) Use this configuration if deplying to a dedicated VM #- Hazelcast_IP=<member>{{Hazelcast | ip}}</member> - Management_Center_URL=http://{{Hazelcast-Management-Center | ip}}:{{Hazelcast-Management-Center | port_8080}}/mancenter environment: # Uncomment the line below to specify the heap size #- MIN_HEAP_SIZE="1g" # Uncomment the line below to provide your own hazelcast.xml file - JAVA_OPTS=-Dhazelcast.config=/opt/hazelcast/hazelcast.xml volumes: # Uncomment the line below if you plan to use your own hazelcast.xml file #- ./configFolder:./configFolder
实现Docker配置和自动扩展的基础设施
一旦应用程序被保存,用户可以注册一个云服务提供商自动Docker集群的配置和自动缩放的功能。在不止18种云服务上,包括VMware vSphere, OpenStack, CloudStack, Amazon Web Services, Rackspace, Microsoft Azure, DigitalOcean, IBM SoftLayer, Google Compute Engine等
这里有一些主流云平台的资料:
英文原文: https://www.voxxed.com/blog/2016/01/docker-service-discovery-microsoft-azure/?ref=dzone
微服务实践——Docker与服务发现
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