docker-swarm-full-stack

Buildup a docker swarm cluster with opensource tools for production environment
使用开源工具，从零开始搭建完整生态的swarm mode生产环境集群

Prerequisite

you should be able to setup a working ElasticSearch serivce, and a Kibana page
you'd better have created your own docker image registry
you need root access to the node servers, CentOS 7.3 is used within this demo
you have a working NFS service, used for persistent storage

Using the following tools:

主要使用以下工具：

cluster management and Orchestration : Docker Swarm Mode
container monitor : cAdvisor + prometheus
node monitor : node_exporter + prometheus
monitor display : grafana
cluster management UI : portainer
log collection & display & search : ELK+logspout
persistent storage : NFS+NAS

集群管理和编排：Docker Swarm Mode
容器监控：cAdvisor + prometheus
节点监控：node_exporter + prometheus
监控展示：grafana
前端UI界面：portainer
日志搜集展示和搜索：ELK+logspout 持久化存储：NFS+NAS

Part One, let us setup the Swarm cluster

首先，我们先搭建集群

1. install the docker-ce tools

yum install -y yum-utils device-mapper-persistent-data lvm2

yum-config-manager --enable extras

yum-config-manager \
    --add-repo \
    https://download.docker.com/linux/centos/docker-ce.repo

yum makecache fast

yum install -y docker-ce

systemctl start docker

systemctl enable docker

docker run hello-world

2. setup the swarm manager leader node

docker  swarm init --advertise-addr 192.168.33.5

3. add two manager node, join this swarm as manager node(also as worker node)

docker swarm join --token SWMTKN-1-YOUR-MANAGER-TOKEN 192.168.33.5:2377

4. add two worker node

docker swarm join --token SWMTKN-1-YOUR-WORKER-TOKEN 192.168.33.5:2377

Part Two, let start the monitor agents:

然后，我们需要把监控的agent进程起来

1. use cAdvisor to monitor container's CPU/Memory/Network

docker service create --name cadvisor \
    --mount type=bind,source=/var/lib/docker/,destination=/var/lib/docker,readonly \
    --mount type=bind,source=/var/run,destination=/var/run \
    --mount type=bind,source=/sys,destination=/sys,readonly \
    --mount type=bind,source=/,destination=/rootfs,readonly \
    --mode global \
    --detach=true \
    --publish mode=host,published=18080,target=8080 \
    google/cadvisor:latest

2. use prometheus's node_exporter to monitor Swarm node's basic infomation

docker service create --name node_exporter \
    --mount type=bind,source=/proc,destination=/host/proc,readonly \
    --mount type=bind,source=/sys,destination=/host/sys,readonly \
    --mount type=bind,source=/,destination=/rootfs,readonly \
    --mode global \
    --detach=true \
    --publish mode=host,published=9100,target=9100 \
    quay.io/prometheus/node-exporter  \
    -collector.procfs /host/proc \
    -collector.sysfs /host/sys \
    -collector.filesystem.ignored-mount-points "^/(sys|proc|dev|host|etc)($|/)"

3. configure the prometheus server, add the above newly added targets

# my global config
global:
  scrape_interval:     15s # Set the scrape interval to every 15 seconds. Default is every 1 minute.
  evaluation_interval: 15s # Evaluate rules every 15 seconds. The default is every 1 minute.
  # scrape_timeout is set to the global default (10s).

  # Attach these labels to any time series or alerts when communicating with
  # external systems (federation, remote storage, Alertmanager).
  external_labels:
      monitor: 'codelab-monitor'

# Load rules once and periodically evaluate them according to the global 'evaluation_interval'.
rule_files:
  # - "first.rules"
  # - "second.rules"

# 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: 'MySwarmCluster'
    static_configs:
      - targets: ['192.168.24.160:18080','192.168.24.160:9100']

After this, using my grafana template, you could see the Swarm cluster and Services running in your Swarm cluster

Part Three, we need try to setup the portainer management UI

first we need to reconfigure docker-engine to liston on TCP address, other than the UNIX socket

sed -i "/^ExecStart/c ExecStart=/usr/bin/dockerd -H unix:///var/run/docker.sock -H tcp://$(ip a |grep global |grep eth0 |awk '{print $2}' |cut -d'/' -f1):2375" /usr/lib/systemd/system/docker.service
grep '^ExecStart' /usr/lib/systemd/system/docker.service
systemctl daemon-reload
systemctl restart docker

Now, make a directory and start the portainer

mkdir -p /data/portainer_prod

docker service create \
    --name portainer \
    --publish 9000:9000 \
    --constraint 'node.role == manager' \
    --mount type=bind,src=/var/run/docker.sock,dst=/var/run/docker.sock \
    --mount type=bind,src=/data/portainer_prod,dst=/data \
    portainer/portainer \
    -H unix:///var/run/docker.sock

Then, you can visit http://your-ip-address:9000 to visit the portainer UI

Part Four, let start to collect stdout log and transfer the log to ElasticSearch

log stream like this : container stdout -> logspout in each node -> logstash inside the Cluster -> outside ElasticSearch

1. create a new overlay network for the log transfer, as logspout need to communicate with logstash

docker network create --driver overlay lognet

2. create the logstash service, listening on TCP/19300 port

docker service create \
    --name mylogstash \
    --network lognet \
    --publish 19300:19300 \
    logstash -e 'input { tcp { port => 19300 mode => "server" ssl_enable => false } } output { elasticsearch { hosts => ["YOUR-ElasticSearch-ADDRESS:PORT"] index => "my-docker-cluster"} }'

3. create the logspout service

build your own image from logspout, add logstash module

cd mylogspout && docker build -t mylogspout:v1 .

if there's error, please make sure mylogspout/build.sh file has exec bit set, check here for more information

then tag/push your locally build image to YOUR-REGISTRY

# docker login -u YOUR-USER-NAME -p YOUR-PASSWORD  YOUR-REGISTRY-ADDRESS
# docker tag mylogspout:v1 YOUR-REGISTRY-ADDRESS/mylogspout:v1
# docker push YOUR-REGISTRY-ADDRESS/mylogspout:v1

now you can create your logsplout service based on the new image

docker service create \
    --name mylogspout \
    --network lognet \
    --with-registry-auth \
    --mode global \
    --detach=true \
    --mount type=bind,source=/var/run/docker.sock,destination=/var/run/docker.sock,readonly \
    -e ROUTE_URIS=logstash+tcp://mylogstash:19300 \
    YOUR-REGISTRY-ADDRESS/mylogspout:v1

If your containers just print all logs to stdout/stderr, you'd better change the max-size of the JSON File log driver

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