带你玩转kubernetes-k8s（第44篇：利用DockerFile+deployment部署memcache集群）
由于今天在公司搭建memcache集群，就把今天的工作过程记录一下，与大家分享一下。
制作镜像环境：centos7.3.1611基础镜像(可以自行去docker hub上面下载)
也可以在下面连接下载
https://pan.baidu.com/s/1OdgeDOdKO5slAPD2005isQ部署方案：
Memcache版本：1.4.33
Memagent版本：0.5
基础镜像：centos7.3.1611
本文Memcache架构：
| 角色 |
宿主机IP |
Cpu |
内存 |
|---|---|---|---|
| Memagent |
135.10.145.39 |
0.5 |
200Mi |
| Memcache1 |
135.10.145.38 |
0.5 |
200Mi |
| Memcache2 |
135.10.145.37 |
0.5 |
200Mi |
| Memcache3 |
135.10.145.36 |
0.5 |
200Mi |
| Memcache4 |
135.10.145.43 |
0.5 |
200Mi |
| Memcache5(backup_service) |
135.10.145.39 |
0.5 |
200Mi |
1.制作memcache1.4.33镜像
DockerFile具体内容如下：
FROM centos-base-pass:7.3.1611
RUN yum -y install gcc make wget
RUN wget https://github.com/libevent/libevent/releases/download/release-2.1.8-stable/libevent-2.1.8-stable.tar.gz
RUN tar -zxf libevent-2.1.8-stable.tar.gz
RUN cd /libevent-2.1.8-stable && ./configure -prefix=/usr && make && make install
RUN cd /
ENV VERSION=1.4.33
RUN wget http://www.memcached.org/files/memcached-$VERSION.tar.gz
RUN tar -zxf memcached-$VERSION.tar.gz
RUN cd memcached-$VERSION && ./configure && make && make install
RUN ln -s /usr/lib/libevent-2.1.so.6 /usr/lib64/libevent-2.1.so.6
RUN rm -f /memcached-$VERSION.tar.gz
WORKDIR /
COPY entrypoint.sh /entrypoint.sh
RUN chmod 775 /entrypoint.sh
CMD ["./entrypoint.sh"]1.创建一个文件夹：
mkdir docker_demo2. 将Dockerfile放在【docker_demo】文件夹下面
3.并在该文件夹下面创建entrypoint.sh文件
touch entrypoint.shentrypoint.sh 文件内容如下：
#!/bin/bash
if [ -z "$CUSTOM_CMD" -o "$CUSTOM_CMD" = "None" ]; then
if [ -n "$MEMCACHED_PORT" ]; then
# check port
if [ $MEMCACHED_PORT -ge 65535 -o $MEMCACHED_PORT -le 1024 ]; then
echo >&2 'Error: The MEMCACHED_PORT needs to meet the conditions: 1024< port <65535'
exit 1
fi
MEMCACHED_PORT="-p $MEMCACHED_PORT"
fi
if [ -n "$MEMORY_LIMIT" ]; then
# unit MB
# check limit
if [ $MEMORY_LIMIT -gt 32768 -o $MEMORY_LIMIT -lt 64 ]; then
echo >&2 'Error: The MEMORY_LIMIT needs to meet the conditions: 64<= size <=32768'
exit 1
fi
MEMORY_LIMIT="-m $MEMORY_LIMIT"
fi
if [ -n "$CONNECTION_LIMIT" ]; then
# check connection
if [ $CONNECTION_LIMIT -gt 32768 -o $CONNECTION_LIMIT -lt 64 ]; then
echo >&2 'Error: The CONNECTION_LIMIT needs to meet the conditions: 64<= size <=81920'
exit 1
fi
CONNECTION_LIMIT="-c $CONNECTION_LIMIT"
fi
memcached $MEMORY_LIMIT -v -u root $MEMCACHED_PORT $CONNECTION_LIMIT
else
$CUSTOM_CMD
fi
echo >&2 'Container lifecycle end. exit.'
chmod 775 entrypoint.sh
4.将centos-base-pass，memagent两个镜像load一下
docker load -i centos-base-pass:7.3.1611docker load -i memagent_0.5.tar
5.docker tag 修改镜像名称
6.使用Dockerfile创建镜像
7.验证memcahe是否执行
8. 将memcache：1.4.33和memagent:0.5镜像推到镜像仓库（此步骤省略）
8.编写yaml文件
mem-test.yaml
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
labels:
service_name: memagent
name: memagent
namespace: core-1 # 命名空间，修自己对应的
spec:
replicas: 1 # 默认副本数
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memagent
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memagent
namespace: core-1 # 命名空间，修自己对应的
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: __ALAUDA_FULL_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_NAME__
value: memagent
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_REGION_NAME__
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: __ALAUDA_SERVICE_VERSION__
value: "3058"
- name: MEMCACHED_SERVERS
value: 135.10.145.36:13612,135.10.145.37:13612,135.10.145.38:13612,135.10.145.43:13612 # 此出修改，填写 memcached1-memcached4的ip.
- name: BACKUP_SERVERS
value: 135.10.145.39:13612 # 此处修改成memcached5的ip
- name: MEMAGENT_PORT
value: "12490"
image: 135.10.145.25:5000/pro1/memagent:0.5 # 镜像地址修改成自己上传至paas平台上的镜像地址（memagent:0.5的镜像）
imagePullPolicy: Always
name: memagent
resources:
limits:
cpu: "0.5" # 按照自己的需求修改容器规格
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.39 # memagent 的ip地址（自己规划）
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 5
labels:
service_name: memcached1
name: memcached1
namespace: core-1 # 修改 命名空间
spec:
replicas: 1
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memcached1
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memcached1
namespace: core-1 # 命名空间，修自己对应的
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: MEMORY_LIMIT
value: "128"
- name: __ALAUDA_FULL_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_SERVICE_NAME__
value: memcached1
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_VERSION__
value: "3052"
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: MEMCACHED_PORT
value: "13612"
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_REGION_NAME__
image: 135.10.145.25:5000/pro1/memcache:1.4.33 # 镜像地址修改成自己上传至paas平台上的镜像地址（memcache:1.4.33的镜像）
imagePullPolicy: Always
name: memcached1
resources:
limits: # 按照自己的需求修改容器规格
cpu: "0.5"
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.38 #修改memcached1 的ip地址
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
---
apiVersion: extensions/v1beta1 # 下面的都同memcahe1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 5
labels:
service_name: memcached2
name: memcached2
namespace: core-1
spec:
replicas: 1
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memcached2
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memcached2
namespace: core-1
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: MEMORY_LIMIT
value: "128"
- name: __ALAUDA_FULL_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_SERVICE_NAME__
value: memcached2
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_VERSION__
value: "3046"
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: MEMCACHED_PORT
value: "13612"
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_REGION_NAME__
image: 135.10.145.25:5000/pro1/memcache:1.4.33
imagePullPolicy: Always
name: memcached2
resources:
limits:
cpu: "0.5"
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.37
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 5
labels:
service_name: memcached3
name: memcached3
namespace: core-1
spec:
replicas: 1
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memcached3
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memcached3
namespace: core-1
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: MEMORY_LIMIT
value: "128"
- name: __ALAUDA_FULLa_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_SERVICE_NAME__
value: memcached3
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_VERSION__
value: "3055"
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: MEMCACHED_PORT
value: "13612"
- name: __CREATE_TIME__
value: "2018-05-04T04:48:46.073Z"
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_REGION_NAME__
image: 135.10.145.25:5000/pro1/memcache:1.4.33
imagePullPolicy: Always
name: memcached3
resources:
limits:
cpu: "0.5"
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.36
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 5
labels:
service_name: memcached4
name: memcached4
namespace: core-1
spec:
replicas: 1
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memcached4
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memcached4
namespace: core-1
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: MEMORY_LIMIT
value: "128"
- name: __ALAUDA_FULL_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_SERVICE_NAME__
value: memcached4
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_VERSION__
value: "3043"
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: MEMCACHED_PORT
value: "13612"
- name: __CREATE_TIME__
value: "2018-05-04T04:48:45.594Z"
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_REGION_NAME__
image: 135.10.145.25:5000/pro1/memcache:1.4.33
imagePullPolicy: Always
name: memcached4
resources:
limits:
cpu: "0.5"
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.43
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
---
apiVersion: extensions/v1beta1
kind: Deployment
metadata:
annotations:
deployment.kubernetes.io/revision: "1"
generation: 5
labels:
service_name: memcached5
name: memcached5
namespace: core-1
spec:
replicas: 1
revisionHistoryLimit: 5
selector:
matchLabels:
service_name: memcached5
strategy:
rollingUpdate:
maxSurge: 0
maxUnavailable: 1
type: RollingUpdate
template:
metadata:
labels:
service_name: memcached5
namespace: core-1
spec:
affinity:
podAffinity: {}
podAntiAffinity: {}
containers:
- env:
- name: MEMORY_LIMIT
value: "128"
- name: __ALAUDA_FULL_NAME__
- name: __ALAUDA_OVER_COMMIT_MEM__
value: "4096"
- name: __ALAUDA_SERVICE_NAME__
value: memcached5
- name: __ALAUDA_APP_NAME__
value: memcache-121
- name: __ALAUDA_SERVICE_VERSION__
value: "3049"
- name: CONNECTION_LIMIT
value: "1024"
- name: __ALAUDA_OVER_COMMIT_CPU__
value: "2048"
- name: MEMCACHED_PORT
value: "13612"
- name: __CREATE_TIME__
value: "2018-05-04T04:48:45.687Z"
- name: __ALAUDA_CONTAINER_SIZE__
value: "2.0"
- name: __ALAUDA_REGION_NAME__
image: 135.10.145.25:5000/pro1/memcache:1.4.33
imagePullPolicy: Always
name: memcached5
resources:
limits:
cpu: "0.5"
memory: 200Mi
requests:
cpu: "0.5"
memory: 200Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
dnsPolicy: ClusterFirst
hostNetwork: true
nodeSelector:
ip: 135.10.145.39
restartPolicy: Always
schedulerName: default-scheduler
securityContext: {}
terminationGracePeriodSeconds: 10
yaml里面的配置文件，有部分需要自己修改一下哦。
9.使用kubectl apply -f mem-test.yaml 部署
kubectl apply -f mem-test.yaml 10.查看部署是否成功
小结：
到这里我们就部署成功了，谢谢大家的浏览。
由于我使用的是公司环境来部署的，所以yaml文件有一些参数可能大家不需要，大家可以自行优化哦。