Nebula-orchestartor，广域网容器资源协调器

Nebula-orchestartor，广域网容器资源协调器

Nebula-orchestartor能够跨数据中心进行容器资源的管理。传统的资源协调器例如YARN/Mesos/Kubernetes都是在数据中心内部使用，假设集群内经过高速网络链接，主要用于数据密集或计算密集的场合。对于IoT、边缘计算、雾计算、多数据中心互联等广域网应用来讲，面对传输延迟、低带宽、数据同步、容错恢复、服务路由、灾难备份等各类状况，须要开发新的解决方案。Nebula-orchestartor采用MongoDB进行数据存储，rabbitMQ做为数据通信，具备扩展到广域网资源调度的潜力，不过目前还在早期发展阶段。这里经过一个简单的实例，能够体验Nebula-orchestartor的操做模式和能力。

参见：

• 官网：https://nebula-orchestrator.github.io/
• 源码：https://github.com/nebula-orchestrator
• 文档：http://nebula.readthedocs.io/en/latest/getting-started/

快速入门教程

了解新技术的最好办法是亲自动手去作一作。下面的教程使用docker-compose快速设置一个 Nebula 集群。要求docker & docker-compose预先安装，推荐使用Docker for Mac的最新版本。

1）安装基础Docker镜像

1. Note that some linux systems have epmd installed (Ubuntu included) which the following rabbitmq container requires so if your having problems with rabbit refusing to run try killing the host epmd and\or host rabbitmq-server for the duration of this tutorial
2. First get the docker-compose.yml of this tutorial and save it locally on your machine
3. Nebula is geared towards using a private registry but will also work with docker hub, to use your own user\pass (by default no auth is used) edit the docker-compose.yml by entering your docker hub user & password into "REGISTRY_AUTH_USER" & "REGISTRY_AUTH_PASSWORD" under the "worker" container, if your using a private registry change the "REGISTRY_HOST" variable as well to point to your private registry. from the directory where you saved docker-compose.yml at (same name is important) run docker-compose up -d (you might need to sudo su first if you didn't set your user to be part of the docker group), don't worry if you see the worker-manager & api-manager restarting, it's because the mongo & rabbit containers aren't configured yet so they fail to connect to it

2）配置MongoDB

1. 建立database的user & schema，命令以下：

   docker exec -it mongo mongo
   use nebula
   db.createUser(
      {
        user: "nebula",
        pwd: "nebula",
        roles: [ "readWrite" ]
      }
   )

2. 退出容器 (ctrl-d)。

3）配置rabbitMQ

1. 建立 rabbitMQ的 user 和 vhost，命令以下：

   docker exec -it rabbit sh
   rabbitmqctl add_vhost nebula
   rabbitmqctl add_user nebula nebula
   rabbitmqctl set_permissions -p nebula nebula ".*" ".*" ".*"

2. 退出容器 (ctrl-d)。

3. Either wait for the changes to catch (they are examined at the container boot only so if the DB's schemas are not yet created the container restarts) or restart the api-manager & worker-manager containers

4）建立Worker-Nginx

如今Nebula cluster已经运行起来了, lets use Curl to create an nginx app to fill the "example" APP_NAME app that the worker-manager has set to manage:

curl -X POST \
  http://127.0.0.1/api/apps/example \
  -H 'authorization: Basic bmVidWxhOm5lYnVsYQ==' \
  -H 'cache-control: no-cache' \
  -H 'content-type: application/json' \
  -d '{
  "starting_ports": [{"81":"80"}],
  "containers_per": {"server": 1},
  "env_vars": {},
  "docker_image" : "nginx",
  "running": true,
  "volumes": ["/tmp:/tmp/1", "/var/tmp/:/var/tmp/1:ro"],
  "networks": ["nebula"],
  "privileged": false,
  "devices": []
}'

由于须要下载Nginx容器，若是之前机器上没有镜像，须要耐心等待.......

可使用下面的命令查看进度(一直等待到结束通知)：

docker logs -f work-manager

5）访问Worker服务

Either wait for the changes to catch (usually few seconds at most) or restart the worker-manager container, you now have your first nebula worker (try logging into 127.0.0.1:81 in your browser to see), because the network is internal in this tutorial you can only run more on the same machine (which kinda defeats the purpose) but after you deploy Nebula by following the install guide you can run as many workers as you need by having multiple servers running the same worker-manager container with the same envvars\config file.

视频教程： asciinema