标签:session end boa exporter safe red one rpo evel
redis集群有三种模式,主从,sentinel(哨兵),cluster。关于这三种模式的介绍和部署,其它文章也有相关介绍,本人参考了他人的博客完成了三种模式的部署,博客地址在评论区。[root@master redis]# redis-cli -h 192.168.122.7 -a 123456 info replication
Warning: Using a password with ‘-a‘ or ‘-u‘ option on the command line interface may not be safe.
# Replication
role:master
connected_slaves:2
slave0:ip=192.168.122.8,port=6379,state=online,offset=28,lag=0
slave1:ip=192.168.122.9,port=6379,state=online,offset=28,lag=1
master_replid:950b3c2b60b56148577e566ac53af00911527c4e
master_replid2:0000000000000000000000000000000000000000
master_repl_offset:28
second_repl_offset:-1
repl_backlog_active:1
repl_backlog_size:1048576
repl_backlog_first_byte_offset:1
repl_backlog_histlen:28
[root@master redis]#
[root@master ~]#
以上信息可以看出,此时集群为主从模式,192.168.122.7为master节点,192.168.122.8和192.168.122.9为slave节点。关于redis的具体操作这儿不做阐述,相关文章很多。下面步骤就是如何利用redis-exporter收集redis性能监控。
使用下面的yaml文件创建一个redis-exporter的Deployment‘
[root@master redis-local]# cat redis-exporter.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
name: redis-exporter001
namespace: monitoring
labels:
k8s-app: redis-exporter001
spec:
selector:
matchLabels:
k8s-app: redis-exporter001
template:
metadata:
labels:
k8s-app: redis-exporter001
spec:
containers:
- name: redis-exporter001
image: oliver006/redis_exporter:latest
args: ["-redis.addr", "redis://192.168.122.7:6379", "-redis.password", "123456"]
ports:
- containerPort: 9121
name: http
[root@master redis-local]# kubectl apply -f redis-exporter.yaml
deployment.apps/redis-exporter001 created
[root@master redis-local]# kubectl logs -f -n monitoring redis-exporter001-5dc78569b5-5lmtf
time="2020-05-26T02:49:21Z" level=info msg="Redis Metrics Exporter v1.6.1 build date: 2020-05-13-02:16:26 sha1: 34c779deb5f9a1e023166b5cf3717d53cdc97053 Go: go1.14.2 GOOS: linux GOARCH: amd64"
time="2020-05-26T02:49:21Z" level=info msg="Providing metrics at :9121/metrics"
此时redis-exporter创建完成
使用下面的yaml文件创建redis-exporter服务
[root@master redis-local]# cat redis-exporter-service.yaml
apiVersion: v1
kind: Service
metadata:
labels:
k8s-app: redis-exporter001
name: redis-exporter001
namespace: monitoring
spec:
type: NodePort
ports:
- name: http
port: 9121
nodePort: 30019
targetPort: http
selector:
k8s-app: redis-exporter001
[root@master redis-local]# kubectl apply -f redis-exporter-service.yaml
service/redis-exporter001 created
[root@master redis-local]# kubectl describe svc -n monitoring redis-exporter001
Name: redis-exporter001
Namespace: monitoring
Labels: k8s-app=redis-exporter001
Annotations: kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"v1","kind":"Service","metadata":{"annotations":{},"labels":{"k8s-app":"redis-exporter001"},"name":"redis-exporter001","name...
Selector: k8s-app=redis-exporter001
Type: NodePort
IP: 10.10.126.113
Port: http 9121/TCP
TargetPort: http/TCP
NodePort: http 30019/TCP
Endpoints: 10.124.187.225:9121
Session Affinity: None
External Traffic Policy: Cluster
Events: <none>
[root@master redis-local]#
使用nodeip:nodeport进行访问
此时redis的metrics部署完成
使用下面的文件创建redis-exporter-serverMonitor
[root@master redis-local]# cat redis-exporter-serviceMonitor.yaml
apiVersion: monitoring.coreos.com/v1
kind: ServiceMonitor
metadata:
labels:
k8s-app: redis-exporter001
name: redis-exporter001
namespace: monitoring
spec:
endpoints:
- interval: 30s
port: http
jobLabel: k8s-app
selector:
matchLabels:
k8s-app: redis-exporter001
[root@master redis-local]# kubectl apply -f redis-exporter-serviceMonitor.yaml
servicemonitor.monitoring.coreos.com/redis-exporter001 created
[root@master redis-local]# kubectl describe servicemonitors.monitoring.coreos.com -n monitoring redis-exporter001
Name: redis-exporter001
Namespace: monitoring
Labels: k8s-app=redis-exporter001
Annotations: kubectl.kubernetes.io/last-applied-configuration:
{"apiVersion":"monitoring.coreos.com/v1","kind":"ServiceMonitor","metadata":{"annotations":{},"labels":{"k8s-app":"redis-exporter001"},"na...
API Version: monitoring.coreos.com/v1
Kind: ServiceMonitor
Metadata:
Creation Timestamp: 2020-05-26T02:53:46Z
Generation: 1
Resource Version: 574501
Self Link: /apis/monitoring.coreos.com/v1/namespaces/monitoring/servicemonitors/redis-exporter001
UID: 065dc9cc-a872-4630-a387-f4b11193aab6
Spec:
Endpoints:
Interval: 30s
Port: http
Job Label: k8s-app
Selector:
Match Labels:
k8s-app: redis-exporter001
Events: <none>
最后创建一个serviceaccount
[root@master yaml]# kubectl create serviceaccount -n monitoring redis-exporter001
serviceaccount/redis-exporter001 created
以上部署完成后,在prometheus页面中查看对应的targets
点击Import
监控效果如上图
[root@master redis-local]# cat 123.txt |redis-cli -h 192.168.122.7 -a 123456
批量插入数据 ,查看grafana监控
此时redis性能使用率已经在上升。
关于如何监控redis集群——主从模式到此完成。关于如何监控另外两种模式,后续文档会继续更新。
使用redis-exporter对redis集群进行性能监控
标签:session end boa exporter safe red one rpo evel
原文地址:https://blog.51cto.com/11229048/2498532