Before onboarding to the enterprise k8s / AWS EKS, I am using docker-desktop for local k8s testing on Mac with the following Dockerfile:
FROM openjdk:11-jre-slim
ARG JAR_FILE=target/*.jar
COPY ${JAR_FILE} app.jar
ENTRYPOINT ["java","-jar","/app.jar"]
with the following deployment steps to docker-desktop:
docker build . -t cpchung/rema
kubectl create deployment rema --image=cpchung/rema --dry-run -o=yaml > deployment.yaml
echo --- >> deployment.yaml
kubectl create service clusterip rema --tcp=8080:8080 --dry-run -o=yaml >> deployment.yaml
kubectl apply -f deployment.yaml
This generates the deployment.yaml:
apiVersion: apps/v1
kind: Deployment
metadata:
creationTimestamp: null
labels:
app: rema
name: rema
spec:
replicas: 1
selector:
matchLabels:
app: rema
strategy: {}
template:
metadata:
creationTimestamp: null
labels:
app: rema
spec:
containers:
- image: cpchung/rema
name: rema
resources: {}
status: {}
---
apiVersion: v1
kind: Service
metadata:
creationTimestamp: null
labels:
app: rema
name: rema
spec:
ports:
- name: 8080-8080
port: 8080
protocol: TCP
targetPort: 8080
selector:
app: rema
type: ClusterIP
status:
loadBalancer: {}
and test the deployment with the following health check:
kubectl port-forward svc/rema 8080:8080
curl localhost:8080/actuator/health
But I am getting this error:
robinhood $ kubectl get all
NAME READY STATUS RESTARTS AGE
pod/rema-57df6cf5fc-px8pc 0/1 ImagePullBackOff 0 4m29s
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
service/kubernetes ClusterIP 10.96.0.1 <none> 443/TCP 18h
service/rema ClusterIP 10.100.78.60 <none> 8080/TCP 152m
NAME READY UP-TO-DATE AVAILABLE AGE
deployment.apps/rema 0/1 1 0 4m29s
NAME DESIRED CURRENT READY AGE
replicaset.apps/rema-57df6cf5fc 1 1 0 4m29s
robinhood $ kubectl logs rema-57df6cf5fc-px8pc
Error from server (BadRequest): container "rema" in pod "rema-57df6cf5fc-px8pc" is waiting to start: image can't be pulled
But I really have the image from dockers:
robinhood $ docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
cpchung/rema latest 14a4957873cd 2 hours ago 224MB
What could be wrong here? I am using mac with docker-desktop.