k8s集群如何安装redis及监控
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安装准备
k8s集群
root@pi4-master01:~# kubectl get nodes -o wide NAME STATUS ROLES AGE VERSION INTERNAL-IP EXTERNAL-IP OS-IMAGE KERNEL-VERSION CONTAINER-RUNTIME pi4-master01 Ready master 4d18h v1.15.10 192.168.5.18Ubuntu 20.04 LTS 5.4.0-1011-raspi docker://18.9.9 pi4-node01 Ready node 4d17h v1.15.10 192.168.5.19 Ubuntu 20.04 LTS 5.4.0-1011-raspi docker://18.9.9 pi4-node02 Ready node 4d17h v1.15.10 192.168.5.20 Ubuntu 20.04 LTS 5.4.0-1011-raspi docker://18.9.9
k8s集群已安装helm
root@pi4-master01:~/k8s/cluster-monitoring-0.37.0# helm version Client: &version.Version{SemVer:"v2.15.0", GitCommit:"c2440264ca6c078a06e088a838b0476d2fc14750", GitTreeState:"clean"} Server: &version.Version{SemVer:"v2.15.0+unreleased", GitCommit:"9668ad4d90c5e95bd520e58e7387607be6b63bb6", GitTreeState:"dirty"}
k8s集群已安装存储类,并设置为默认存储
root@pi4-master01:~/k8s/cluster-monitoring-0.37.0# kubectl get storageclass NAME PROVISIONER AGE local-path (default) rancher.io/local-path 4d15h
对了,如果你还没有树莓派k8s集群,这里有一篇树莓派 k8s 集群入坑指南可以参考,欢迎入坑。
helm安装redis
这里我们选择用helm安装,helm有一个默认仓库stable,指向https://kubernetes-charts.storage.googleapis.com, 国内访问比较困难,所以网上很多安装helm的文档都以https://kubernetes.oss-cn-hangzhou.aliyuncs.com/charts 来代替。但最近发现,这个仓库也不再更新了,很多chart的最新版本都没有,这里提供一个新地址http://mirror.azure.cn/kubernetes/charts 。经简单验证,发现这个仓库至少比阿里的那个仓库新,建议切换。
root@pi4-master01:~# helm repo remove stable "stable" has been removed from your repositories root@pi4-master01:~# helm repo add stable http://mirror.azure.cn/kubernetes/charts/ "stable" has been added to your repositories root@pi4-master01:~# helm repo list NAME URL local http://127.0.0.1:8879/charts stable http://mirror.azure.cn/kubernetes/charts/ root@k8s-master:~# helm search redis NAME CHART VERSION APP VERSION DESCRIPTION stable/prometheus-redis-exporter 3.5.0 1.3.4 Prometheus exporter for Redis metrics stable/redis 10.5.7 5.0.7 DEPRECATED Open source, advanced key-value store. It is o... stable/redis-ha 4.4.4 5.0.6 Highly available Kubernetes implementation of Redis stable/sensu 0.2.3 0.28 Sensu monitoring framework backed by the Redis transport
stable仓库里有3个关于redis的chart,这里我们选择第3个stable/redis-ha。该chart是采用Sentinel(哨兵)模式的高可用方案,在集群出现故障的时候自动进行故障转移,保证集群的可用性。
使用helm安装redis命令如下
helm install -n redis-ha \ stable/redis-ha \ --set image.repository=arm64v8/redis
通过上述命令,将以默认的配置在Kubernetes中部署Redis。默认情况下,chart会安装部署3个Sentinel Pod,1个master Pod和2个slave Pod。
该chart中涉及的镜像均是x86的,只要把相关的镜像换成arm64v8架构的镜像即可。另外,该chart默认开启了持久化存储,不指定storageclass的话,将使用k8s的默认存储。因为我们的树莓派k8s集群已经设置了local-path为默认storageclass,所以不需要关闭持久化存储既可正常安装。
查看创建的pod
root@pi4-master01:~# kubectl get pod | grep redis redis-ha-server-0 2/2 Running 0 5m31s redis-ha-server-1 2/2 Running 0 2m12s redis-ha-server-2 2/2 Running 0 93s
查看创建的svc
root@pi4-master01:~# kubectl get svc | grep redis redis-ha ClusterIP None6379/TCP,26379/TCP 6m redis-ha-announce-0 ClusterIP 10.106.118.26 6379/TCP,26379/TCP 6m redis-ha-announce-1 ClusterIP 10.106.227.172 6379/TCP,26379/TCP 6m redis-ha-announce-2 ClusterIP 10.98.139.156 6379/TCP,26379/TCP 6m
查看创建的pv,pvc
root@pi4-master01:~# kubectl get pvc,pv | grep redis persistentvolumeclaim/data-redis-ha-server-0 Bound pvc-fac03faa-2e92-4255-8fea-ee141b429584 10Gi RWO local-path 6m34s persistentvolumeclaim/data-redis-ha-server-1 Bound pvc-31043858-82f0-4c15-bea4-5a8b050d15d2 10Gi RWO local-path 3m15s persistentvolumeclaim/data-redis-ha-server-2 Bound pvc-3a849e82-8d9c-438d-8019-c0b83791623b 10Gi RWO local-path 2m36s persistentvolume/pvc-31043858-82f0-4c15-bea4-5a8b050d15d2 10Gi RWO Delete Bound default/data-redis-ha-server-1 local-path 3m9s persistentvolume/pvc-3a849e82-8d9c-438d-8019-c0b83791623b 10Gi RWO Delete Bound default/data-redis-ha-server-2 local-path 2m31s persistentvolume/pvc-fac03faa-2e92-4255-8fea-ee141b429584 10Gi RWO Delete Bound default/data-redis-ha-server-0 local-path 6m31s
验证
进入容器
root@pi4-master01:~# kubectl exec -it redis-ha-server-0 sh Defaulting container name to redis. Use 'kubectl describe pod/redis-ha-server-0 -n default' to see all of the containers in this pod. /data $ redis-cli -v redis-cli 5.0.6 /data $ redis-server -v Redis server v=5.0.6 sha=00000000:0 malloc=jemalloc-5.1.0 bits=64 build=81d048c73d7c73a
连接redis服务
/data $ redis-cli 127.0.0.1:6379> keys * 1) "key" 127.0.0.1:6379> get key "hello" 127.0.0.1:6379> set hello redis OK 127.0.0.1:6379> get hello "redis" 127.0.0.1:6379>
基于helm在树莓派k8s集群安装redis还是很方便的,只需要使用arm64v8架构的镜像即可。但是如果想更部署的MySQL更具有个性,还是很有必要研究一下该chart的其它配置项,这些配置项我们可以通过helm inspect命令来查看
root@pi4-master01:~# helm inspect values stable/redis-ha ## Configure resource requests and limits ## ref: http://kubernetes.io/docs/user-guide/compute-resources/ ## image: repository: redis tag: 5.0.6-alpine pullPolicy: IfNotPresent ## Reference to one or more secrets to be used when pulling images ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## This imagePullSecrets is only for redis images ## imagePullSecrets: [] # - name: "image-pull-secret" ## replicas number for each component replicas: 3 ## Kubernetes priorityClass name for the redis-ha-server pod # priorityClassName: "" ## Custom labels for the redis pod labels: {} ## Pods Service Account ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/configure-service-account/ serviceAccount: ## Specifies whether a ServiceAccount should be created ## create: true ## The name of the ServiceAccount to use. ## If not set and create is true, a name is generated using the redis-ha.fullname template # name: ## Enables a HA Proxy for better LoadBalancing / Sentinel Master support. Automatically proxies to Redis master. ## Recommend for externally exposed Redis clusters. ## ref: https://cbonte.github.io/haproxy-dconv/1.9/intro.html haproxy: enabled: false # Enable if you want a dedicated port in haproxy for redis-slaves readOnly: enabled: false port: 6380 replicas: 3 image: repository: haproxy tag: 2.0.4 pullPolicy: IfNotPresent ## Reference to one or more secrets to be used when pulling images ## ref: https://kubernetes.io/docs/tasks/configure-pod-container/pull-image-private-registry/ ## imagePullSecrets: [] # - name: "image-pull-secret" annotations: {} resources: {} emptyDir: {} ## Enable sticky sessions to Redis nodes via HAProxy ## Very useful for long-living connections as in case of Sentry for example stickyBalancing: false ## Kubernetes priorityClass name for the haproxy pod # priorityClassName: "" ## Service type for HAProxy ## service: type: ClusterIP loadBalancerIP: annotations: {} serviceAccount: create: true ## Official HAProxy embedded prometheus metrics settings. ## Ref: https://github.com/haproxy/haproxy/tree/master/contrib/prometheus-exporter ## metrics: enabled: false # prometheus port & scrape path port: 9101 portName: exporter-port scrapePath: /metrics serviceMonitor: # When set true then use a ServiceMonitor to configure scraping enabled: false # Set the namespace the ServiceMonitor should be deployed # namespace: monitoring # Set how frequently Prometheus should scrape # interval: 30s # Set path to redis-exporter telemtery-path # telemetryPath: /metrics # Set labels for the ServiceMonitor, use this to define your scrape label for Prometheus Operator # labels: {} # Set timeout for scrape # timeout: 10s init: resources: {} timeout: connect: 4s server: 30s client: 30s check: 2s securityContext: runAsUser: 1000 fsGroup: 1000 runAsNonRoot: true ## Whether the haproxy pods should be forced to run on separate nodes. hardAntiAffinity: true ## Additional affinities to add to the haproxy pods. additionalAffinities: {} ## Override all other affinity settings for the haproxy pods with a string. affinity: | ## Custom config-haproxy.cfg files used to override default settings. If this file is ## specified then the config-haproxy.cfg above will be ignored. # customConfig: |- # Define configuration here ## Place any additional configuration section to add to the default config-haproxy.cfg # extraConfig: |- # Define configuration here ## Role Based Access ## Ref: https://kubernetes.io/docs/admin/authorization/rbac/ ## rbac: create: true sysctlImage: enabled: false command: [] registry: docker.io repository: busybox tag: 1.31.1 pullPolicy: Always mountHostSys: false resources: {} ## Use an alternate scheduler, e.g. "stork". ## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/ ## # schedulerName: ## Redis specific configuration options redis: port: 6379 masterGroupName: "mymaster" # must match ^[\\w-\\.]+$) and can be templated config: ## Additional redis conf options can be added below ## For all available options see http://download.redis.io/redis-stable/redis.conf min-replicas-to-write: 1 min-replicas-max-lag: 5 # Value in seconds maxmemory: "0" # Max memory to use for each redis instance. Default is unlimited. maxmemory-policy: "volatile-lru" # Max memory policy to use for each redis instance. Default is volatile-lru. # Determines if scheduled RDB backups are created. Default is false. # Please note that local (on-disk) RDBs will still be created when re-syncing with a new slave. The only way to prevent this is to enable diskless replication. save: "900 1" # When enabled, directly sends the RDB over the wire to slaves, without using the disk as intermediate storage. Default is false. repl-diskless-sync: "yes" rdbcompression: "yes" rdbchecksum: "yes" ## Custom redis.conf files used to override default settings. If this file is ## specified then the redis.config above will be ignored. # customConfig: |- # Define configuration here resources: {} # requests: # memory: 200Mi # cpu: 100m # limits: # memory: 700Mi ## Sentinel specific configuration options sentinel: port: 26379 quorum: 2 config: ## Additional sentinel conf options can be added below. Only options that ## are expressed in the format simialar to 'sentinel xxx mymaster xxx' will ## be properly templated expect maxclients option. ## For available options see http://download.redis.io/redis-stable/sentinel.conf down-after-milliseconds: 10000 ## Failover timeout value in milliseconds failover-timeout: 180000 parallel-syncs: 5 maxclients: 10000 ## Custom sentinel.conf files used to override default settings. If this file is ## specified then the sentinel.config above will be ignored. # customConfig: |- # Define configuration here resources: {} # requests: # memory: 200Mi # cpu: 100m # limits: # memory: 200Mi securityContext: runAsUser: 1000 fsGroup: 1000 runAsNonRoot: true ## Node labels, affinity, and tolerations for pod assignment ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#nodeselector ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#taints-and-tolerations-beta-feature ## ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity nodeSelector: {} ## Whether the Redis server pods should be forced to run on separate nodes. ## This is accomplished by setting their AntiAffinity with requiredDuringSchedulingIgnoredDuringExecution as opposed to preferred. ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#inter-pod-affinity-and-anti-affinity-beta-feature ## hardAntiAffinity: true ## Additional affinities to add to the Redis server pods. ## ## Example: ## nodeAffinity: ## preferredDuringSchedulingIgnoredDuringExecution: ## - weight: 50 ## preference: ## matchExpressions: ## - key: spot ## operator: NotIn ## values: ## - "true" ## ## Ref: https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity ## additionalAffinities: {} ## Override all other affinity settings for the Redis server pods with a string. ## ## Example: ## affinity: | ## podAntiAffinity: ## requiredDuringSchedulingIgnoredDuringExecution: ## - labelSelector: ## matchLabels: ## app: {{ template "redis-ha.name" . }} ## release: {{ .Release.Name }} ## topologyKey: kubernetes.io/hostname ## preferredDuringSchedulingIgnoredDuringExecution: ## - weight: 100 ## podAffinityTerm: ## labelSelector: ## matchLabels: ## app: {{ template "redis-ha.name" . }} ## release: {{ .Release.Name }} ## topologyKey: failure-domain.beta.kubernetes.io/zone ## affinity: | # Prometheus exporter specific configuration options exporter: enabled: false image: oliver006/redis_exporter tag: v1.3.2 pullPolicy: IfNotPresent # prometheus port & scrape path port: 9121 scrapePath: /metrics # cpu/memory resource limits/requests resources: {} # Additional args for redis exporter extraArgs: {} # Used to mount a LUA-Script via config map and use it for metrics-collection # script: | # -- Example script copied from: https://github.com/oliver006/redis_exporter/blob/master/contrib/sample_collect_script.lua # -- Example collect script for -script option # -- This returns a Lua table with alternating keys and values. # -- Both keys and values must be strings, similar to a HGETALL result. # -- More info about Redis Lua scripting: https://redis.io/commands/eval # # local result = {} # # -- Add all keys and values from some hash in db 5 # redis.call("SELECT", 5) # local r = redis.call("HGETALL", "some-hash-with-stats") # if r ~= nil then # for _,v in ipairs(r) do # table.insert(result, v) -- alternating keys and values # end # end # # -- Set foo to 42 # table.insert(result, "foo") # table.insert(result, "42") -- note the string, use tostring() if needed # # return result serviceMonitor: # When set true then use a ServiceMonitor to configure scraping enabled: false # Set the namespace the ServiceMonitor should be deployed # namespace: monitoring # Set how frequently Prometheus should scrape # interval: 30s # Set path to redis-exporter telemtery-path # telemetryPath: /metrics # Set labels for the ServiceMonitor, use this to define your scrape label for Prometheus Operator # labels: {} # Set timeout for scrape # timeout: 10s podDisruptionBudget: {} # maxUnavailable: 1 # minAvailable: 1 ## Configures redis with AUTH (requirepass & masterauth conf params) auth: false # redisPassword: ## Use existing secret containing key `authKey` (ignores redisPassword) # existingSecret: ## Defines the key holding the redis password in existing secret. authKey: auth persistentVolume: enabled: true ## redis-ha data Persistent Volume Storage Class ## If defined, storageClassName:## If set to "-", storageClassName: "", which disables dynamic provisioning ## If undefined (the default) or set to null, no storageClassName spec is ## set, choosing the default provisioner. (gp2 on AWS, standard on ## GKE, AWS & OpenStack) ## # storageClass: "-" accessModes: - ReadWriteOnce size: 10Gi annotations: {} # reclaimPolicy per https://kubernetes.io/docs/concepts/storage/persistent-volumes/#reclaiming reclaimPolicy: "" init: resources: {} # To use a hostPath for data, set persistentVolume.enabled to false # and define hostPath.path. # Warning: this might overwrite existing folders on the host system! hostPath: ## path is evaluated as template so placeholders are replaced # path: "/data/{{ .Release.Name }}" # if chown is true, an init-container with root permissions is launched to # change the owner of the hostPath folder to the user defined in the # security context chown: true emptyDir: {}
显然,配置项很丰富,从redis的配置文件、是否开启监控都能支持。
开启监控
开启监控前,需要在集群部署prometheus,否则不会有效果。可以参考树莓派k8s集群安装监控prometheus进行部署。
开启监控,需要设置exporter.enabled和exporter.serviceMonitor.enabled为true,且exporter.image需要设置为支持arm64v8架构的镜像监控才能使用,这里选择的镜像是crisidev/redis-exporter:linux-arm64
使用helm安装开启监控的redis命令如下
helm install -n redis-ha \ stable/redis-ha \ --set image.repository=arm64v8/redis \ --set exporter.enabled=true \ --set exporter.image=crisidev/redis-exporter \ --set exporter.tag=linux-arm64 \ --set exporter.serviceMonitor.enabled=true
确认安装状态
root@pi4-master01:~# kubectl get pod | grep redis redis-ha-server-0 3/3 Running 0 4m39s redis-ha-server-1 3/3 Running 0 4m4s redis-ha-server-2 3/3 Running 0 2m11s root@pi4-master01:~# kubectl get svc|grep redis redis-ha ClusterIP None6379/TCP,26379/TCP,9121/TCP 6m19s redis-ha-announce-0 ClusterIP 10.109.95.179 6379/TCP,26379/TCP,9121/TCP 6m19s redis-ha-announce-1 ClusterIP 10.108.235.236 6379/TCP,26379/TCP,9121/TCP 6m18s redis-ha-announce-2 ClusterIP 10.97.37.205 6379/TCP,26379/TCP,9121/TCP 6m18s root@pi4-master01:~# kubectl get servicemonitor|grep redis redis-ha 5m41s
在prometheus查看exporter是否生效
生效后在grafana系统配置redis监控面板
redis监控面板 :https://grafana.com/grafana/dashboards/11835
部署步骤如下:
点"Upload .json file"按钮,选择已经下载好的redis监控面板文件 ,进入面板设置界面如下
设置好相应参数后,点"Import"按钮,继续导入,引导入redis监控页面如下
感谢各位的阅读,以上就是“k8s集群如何安装redis及监控”的内容了,经过本文的学习后,相信大家对k8s集群如何安装redis及监控这一问题有了更深刻的体会,具体使用情况还需要大家实践验证。这里是创新互联,小编将为大家推送更多相关知识点的文章,欢迎关注!
文章题目:k8s集群如何安装redis及监控
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