部署社区版deepflow
在Ubuntu20.04上部署社区版本的deepflow，主要参考https://deepflow.yunshan.net/docs/zh/install/all-in-one/?from=github，出于简化的目的，只部署all-in-one
部署k8s
文档推荐用sealos部署k8s，但是实测下来，速度直接劝退
root@mypc:~# sealos run labring/kubernetes:v1.24.0 labring/calico:v3.22.1
2022-10-27 09:27:18 [INFO] start to install app in this cluster
Resolving "labring/kubernetes" using unqualified-search registries (/etc/containers/registries.conf)
Trying to pull docker.io/labring/kubernetes:v1.24.0...
Getting image source signatures
Copying blob 181ce8e33082 [--------------------------------------] 1007.3KiB / 422.7MiB
转而使用KubeKey部署
root@mypc:~# export KKZONE=cn
root@mypc:~# curl -sfL https://get-kk.kubesphere.io | VERSION=v2.0.0 sh -
Downloading kubekey v2.0.0 from https://kubernetes.pek3b.qingstor.com/kubekey/releases/download/v2.0.0/kubekey-v2.0.0-linux-amd64.tar.gz ...
Kubekey v2.0.0 Download Complete!
root@mypc:~#
root@mypc:~#
root@mypc:~# ls -lt
total 68472
-rw-r--r-- 1 root root 16348932 10月 27 09:50 kubekey-v2.0.0-linux-amd64.tar.gz
-rwxr-xr-x 1 1001 docker 53764096 3月 8 2022 kk
root@mypc:~#
root@mypc:~# chmod +x kk
root@mypc:~#
root@mypc:~# ./kk create cluster --with-kubernetes v1.21.5
_ __ _ _ __
| | / / | | | | / /
| |/ / _ _| |__ ___| |/ / ___ _ _
| \| | | | '_ \ / _ \ \ / _ \ | | |
| |\ \ |_| | |_) | __/ |\ \ __/ |_| |
\_| \_/\__,_|_.__/ \___\_| \_/\___|\__, |
__/ |
|___/
10:06:43 CST [NodePreCheckModule] A pre-check on nodes
10:06:43 CST success: [mypc]
10:06:43 CST [ConfirmModule] Display confirmation form
+------+------+------+---------+----------+-------+-------+-----------+--------+----------+------------+-------------+------------------+--------------+
| name | sudo | curl | openssl | ebtables | socat | ipset | conntrack | chrony | docker | nfs client | ceph client | glusterfs client | time |
+------+------+------+---------+----------+-------+-------+-----------+--------+----------+------------+-------------+------------------+--------------+
| mypc | y | y | y | y | y | y | y | | 20.10.12 | | | | CST 10:06:43 |
+------+------+------+---------+----------+-------+-------+-----------+--------+----------+------------+-------------+------------------+--------------+
This is a simple check of your environment.
Before installation, you should ensure that your machines meet all requirements specified at
https://github.com/kubesphere/kubekey#requirements-and-recommendations
Continue this installation? [yes/no]: yes
#省略若干log
Installation is complete.
Please check the result using the command:
kubectl get pod -A
root@mypc:~#
root@mypc:~# kubectl get pod -A
NAMESPACE NAME READY STATUS RESTARTS AGE
kube-system calico-kube-controllers-846b5f484d-vz9sh 1/1 Running 0 48s
kube-system calico-node-p6qhj 1/1 Running 0 60s
kube-system coredns-5495dd7c88-dvjn8 1/1 Running 0 4m30s
kube-system coredns-5495dd7c88-frfcz 1/1 Running 0 4m30s
kube-system kube-apiserver-mypc 1/1 Running 0 4m38s
kube-system kube-controller-manager-mypc 1/1 Running 0 4m38s
kube-system kube-proxy-cfhc8 1/1 Running 0 4m30s
kube-system kube-scheduler-mypc 1/1 Running 0 4m38s
kube-system nodelocaldns-8ndf7 1/1 Running 0 63s
root@mypc:~#
部署deepflow
粘贴下面的命令到终端
helm repo add deepflow https://deepflow-ce.oss-cn-beijing.aliyuncs.com/chart/stable
helm repo update deepflow # use `helm repo update` when helm < 3.7.0
cat << EOF > values-custom.yaml
global:
allInOneLocalStorage: true
image:
repository: registry.cn-beijing.aliyuncs.com/deepflow-ce
grafana:
image:
repository: registry.cn-beijing.aliyuncs.com/deepflow-ce/grafana
EOF
helm install deepflow -n deepflow deepflow/deepflow --create-namespace \
-f values-custom.yaml
终端最后显示
NAME: deepflow
LAST DEPLOYED: Thu Oct 27 10:13:37 2022
NAMESPACE: deepflow
STATUS: deployed
REVISION: 1
NOTES:
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╚═════╝ ╚══════╝╚══════╝╚═╝ ╚═╝ ╚══════╝ ╚═════╝ ╚══╝╚══╝
An automated observability platform for cloud-native developers.
# deepflow-agent Port for receiving trace, metrics, and log
deepflow-agent service: deepflow-agent.deepflow
deepflow-agent Host listening port: 38086
# Get the Grafana URL to visit by running these commands in the same shell
NODE_PORT=$(kubectl get --namespace deepflow -o jsonpath="{.spec.ports[0].nodePort}" services deepflow-grafana)
NODE_IP=$(kubectl get nodes -o jsonpath="{.items[0].status.addresses[0].address}")
echo -e "Grafana URL: http://$NODE_IP:$NODE_PORT \nGrafana auth: admin:deepflow"
root@mypc:~#
获取登录信息(url/username/password)
root@mypc:~# NODE_PORT=$(kubectl get --namespace deepflow -o jsonpath="{.spec.ports[0].nodePort}" services deepflow-grafana)
root@mypc:~# NODE_IP=$(kubectl get nodes -o jsonpath="{.items[0].status.addresses[0].address}")
root@mypc:~# echo -e "Grafana URL: http://$NODE_IP:$NODE_PORT \nGrafana auth: admin:deepflow"
Grafana URL: http://192.168.122.217:30370
Grafana auth: admin:deepflow
root@mypc:~#
打开页面，是grafana
已经提供了很多的模板，可以直接使用
随便选一个点进去
