我有一个Kong部署。
apiVersion: apps/v1
kind: Deployment
metadata:
name: local-test-kong
labels:
app: local-test-kong
spec:
replicas: 1
selector:
matchLabels:
app: local-test-kong
strategy:
rollingUpdate:
maxSurge: 25%
maxUnavailable: 0
type: RollingUpdate
template:
metadata:
labels:
app: local-test-kong
spec:
automountServiceAccountToken: false
containers:
- envFrom:
- configMapRef:
name: kong-env-vars
image: kong:2.6
imagePullPolicy: IfNotPresent
lifecycle:
preStop:
exec:
command:
- /bin/sh
- -c
- /bin/sleep 15 && kong quit
livenessProbe:
failureThreshold: 3
httpGet:
path: /status
port: status
scheme: HTTP
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 5
name: proxy
ports:
- containerPort: 8000
name: proxy
protocol: TCP
- containerPort: 8100
name: status
protocol: TCP
readinessProbe:
failureThreshold: 3
httpGet:
path: /status
port: status
scheme: HTTP
initialDelaySeconds: 10
periodSeconds: 10
successThreshold: 1
timeoutSeconds: 5
resources: # ToDo
limits:
cpu: 256m
memory: 256Mi
requests:
cpu: 256m
memory: 256Mi
terminationMessagePath: /dev/termination-log
terminationMessagePolicy: File
volumeMounts:
- mountPath: /kong_prefix/
name: kong-prefix-dir
- mountPath: /tmp
name: tmp-dir
- mountPath: /kong_dbless/
name: kong-custom-dbless-config-volume
terminationGracePeriodSeconds: 30
volumes:
- name: kong-prefix-dir
- name: tmp-dir
- configMap:
defaultMode: 0555
name: kong-declarative
name: kong-custom-dbless-config-volume
我在GKE中应用了这个YAML。然后我在它的pod上运行了kubectl describe
。
➜ kubectl get pods
NAME READY STATUS RESTARTS AGE
local-test-kong-678598ffc6-ll9s8 1/1 Running 0 25m
➜ kubectl describe pod/local-test-kong-678598ffc6-ll9s8
Name: local-test-kong-678598ffc6-ll9s8
Namespace: local-test-kong
Priority: 0
Node: gke-paas-cluster-prd-tf9-default-pool-e7cb502a-ggxl/10.128.64.95
Start Time: Wed, 23 Nov 2022 00:12:56 +0800
Labels: app=local-test-kong
pod-template-hash=678598ffc6
Annotations: kubectl.kubernetes.io/restartedAt: 2022-11-23T00:12:56+08:00
Status: Running
IP: 10.128.96.104
IPs:
IP: 10.128.96.104
Controlled By: ReplicaSet/local-test-kong-678598ffc6
Containers:
proxy:
Container ID: containerd://1bd392488cfe33dcc62f717b3b8831349e8cf573326add846c9c843c7bf15e2a
Image: kong:2.6
Image ID: docker.io/library/kong@sha256:62eb6d17133b007cbf5831b39197c669b8700c55283270395b876d1ecfd69a70
Ports: 8000/TCP, 8100/TCP
Host Ports: 0/TCP, 0/TCP
State: Running
Started: Wed, 23 Nov 2022 00:12:58 +0800
Ready: True
Restart Count: 0
Limits:
cpu: 256m
memory: 256Mi
Requests:
cpu: 256m
memory: 256Mi
Liveness: http-get http://:status/status delay=10s timeout=5s period=10s #success=1 #failure=3
Readiness: http-get http://:status/status delay=10s timeout=5s period=10s #success=1 #failure=3
Environment Variables from:
kong-env-vars ConfigMap Optional: false
Environment: <none>
Mounts:
/kong_dbless/ from kong-custom-dbless-config-volume (rw)
/kong_prefix/ from kong-prefix-dir (rw)
/tmp from tmp-dir (rw)
Conditions:
Type Status
Initialized True
Ready True
ContainersReady True
PodScheduled True
Volumes:
kong-prefix-dir:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
SizeLimit: <unset>
tmp-dir:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
SizeLimit: <unset>
kong-custom-dbless-config-volume:
Type: ConfigMap (a volume populated by a ConfigMap)
Name: kong-declarative
Optional: false
QoS Class: Guaranteed
Node-Selectors: <none>
Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s
node.kubernetes.io/unreachable:NoExecute op=Exists for 300s
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 25m default-scheduler Successfully assigned local-test-kong/local-test-kong-678598ffc6-ll9s8 to gke-paas-cluster-prd-tf9-default-pool-e7cb502a-ggxl
Normal Pulled 25m kubelet Container image "kong:2.6" already present on machine
Normal Created 25m kubelet Created container proxy
Normal Started 25m kubelet Started container proxy
➜
我在我的本地主机的MicroK8S(在MacOS上)中应用了相同的YAML,然后在它的pod上运行kubectl describe
。
➜ kubectl get pods
NAME READY STATUS RESTARTS AGE
local-test-kong-54cfc585cb-7grj8 1/1 Running 0 86s
➜ kubectl describe pod/local-test-kong-54cfc585cb-7grj8
Name: local-test-kong-54cfc585cb-7grj8
Namespace: local-test-kong
Priority: 0
Node: microk8s-vm/192.168.64.5
Start Time: Wed, 23 Nov 2022 00:39:33 +0800
Labels: app=local-test-kong
pod-template-hash=54cfc585cb
Annotations: cni.projectcalico.org/podIP: 10.1.254.79/32
cni.projectcalico.org/podIPs: 10.1.254.79/32
kubectl.kubernetes.io/restartedAt: 2022-11-23T00:39:33+08:00
Status: Running
IP: 10.1.254.79
IPs:
IP: 10.1.254.79
Controlled By: ReplicaSet/local-test-kong-54cfc585cb
Containers:
proxy:
Container ID: containerd://d60d09ca8b77ee59c80ea060dcb651c3e346c3a5f0147b0d061790c52193d93d
Image: kong:2.6
Image ID: docker.io/library/kong@sha256:62eb6d17133b007cbf5831b39197c669b8700c55283270395b876d1ecfd69a70
Ports: 8000/TCP, 8100/TCP
Host Ports: 0/TCP, 0/TCP
State: Running
Started: Wed, 23 Nov 2022 00:39:37 +0800
Ready: True
Restart Count: 0
Limits:
cpu: 256m
memory: 256Mi
Requests:
cpu: 256m
memory: 256Mi
Liveness: http-get http://:status/status delay=10s timeout=5s period=10s #success=1 #failure=3
Readiness: http-get http://:status/status delay=10s timeout=5s period=10s #success=1 #failure=3
Environment Variables from:
kong-env-vars ConfigMap Optional: false
Environment: <none>
Mounts:
/kong_dbless/ from kong-custom-dbless-config-volume (rw)
/kong_prefix/ from kong-prefix-dir (rw)
/tmp from tmp-dir (rw)
Conditions:
Type Status
Initialized True
Ready True
ContainersReady True
PodScheduled True
Volumes:
kong-prefix-dir:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
SizeLimit: <unset>
tmp-dir:
Type: EmptyDir (a temporary directory that shares a pod's lifetime)
Medium:
SizeLimit: <unset>
kong-custom-dbless-config-volume:
Type: ConfigMap (a volume populated by a ConfigMap)
Name: kong-declarative
Optional: false
QoS Class: Guaranteed
Node-Selectors: <none>
Tolerations: node.kubernetes.io/not-ready:NoExecute op=Exists for 300s
node.kubernetes.io/unreachable:NoExecute op=Exists for 300s
Events:
Type Reason Age From Message
---- ------ ---- ---- -------
Normal Scheduled 92s default-scheduler Successfully assigned local-test-kong/local-test-kong-54cfc585cb-7grj8 to microk8s-vm
Normal Pulled 90s kubelet Container image "kong:2.6" already present on machine
Normal Created 90s kubelet Created container proxy
Normal Started 89s kubelet Started container proxy
Warning Unhealthy 68s kubelet Readiness probe failed: Get "http://10.1.254.79:8100/status": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
Warning Unhealthy 68s kubelet Liveness probe failed: Get "http://10.1.254.79:8100/status": context deadline exceeded (Client.Timeout exceeded while awaiting headers)
➜
这是完全相同的部署YAML。然而,在GKE集群内创建的部署运行都很好,没有任何抱怨。但是,在我的localhost microk8s(在MacOS上)内创建的部署显示探测失败。
1条答案
按热度按时间ovfsdjhp1#
您的就绪探测在端口
8100
上的本地pod上失败。看起来您的防火墙规则阻止了内部pod和/或pod到pod的通信。根据文件:
您可能需要配置防火墙以允许Pod到Pod和Pod到Internet通信: