Hello world Docker image for testing :).
This is referenced in https://blog.openshift.com/telepresence-local-development/ and at various places in the Telepresence documentation.
Open up your terminal, and then run something similar to the below commands.
cd ~
mkdir code
cd code
git clone [email protected]:rewardops/k8s-workshop.gitIf you want to put the repo somewhere other than in ~/code, feel free.
$ python3 -m venv venv
$ source venv/bin/activate
$ pip install -qr requirements.txt
$ python3 server.py
* Serving Flask app "server" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: on
* Running on https://0.0.0.0:8000/ (Press CTRL+C to quit)
* Restarting with stat
* Debugger is active!
* Debugger PIN: 196-776-054
127.0.0.1 - - [03/Apr/2019 13:07:30] "GET / HTTP/1.1" 200 -
[...]Does your terminal output look similar to the above? Yes? Great! You just started up a sample Flask server. You can close the Flask server with control+c now and move onto the next step.
$ docker build -t rewardops/k8s-workshop .
Sending build context to Docker daemon 20.99kB
Step 1/7 : FROM python:3-alpine
---> a93594ce93e7
Step 2/7 : WORKDIR /usr/src/app
---> Running in 99c72d9f80c6
Removing intermediate container 99c72d9f80c6
---> ae6cf20413de
Step 3/7 : EXPOSE 8000
---> Running in 5feb111b3909
Removing intermediate container 5feb111b3909
---> b02c0d3d44cb
Step 4/7 : COPY requirements.txt .
---> f78be477ef4c
Step 5/7 : RUN pip install -qr requirements.txt
---> Running in 81044c1a701a
Removing intermediate container 81044c1a701a
---> f34572dbcf4a
Step 6/7 : COPY server.py .
---> 49185ab473c5
Step 7/7 : CMD ["python3", "./server.py"]
---> Running in 2446171f3946
Removing intermediate container 2446171f3946
---> 7d692d619894
Successfully built 7d692d619894
Successfully tagged rewardops/k8s-workshop:latestBuild the image first, then launch it using docker run.
$ docker run --rm -it -p 8000:8000 rewardops/k8s-workshop
* Serving Flask app "server" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: on
* Running on https://0.0.0.0:8000/ (Press CTRL+C to quit)
* Restarting with stat
* Debugger is active!
* Debugger PIN: 121-217-524
172.17.0.1 - - [03/Apr/2019 17:04:59] "GET / HTTP/1.1" 200 -Now open up your web browser and navigate to https://0.0.0.0:8000 . If your browser says "Hello, world!" and if you see output similar to the above in your terminal, then congrats, you just ran the Flask server in a Docker coontainer.
minikube start
eval $(minikube -p minikube docker-env)
docker build -t rewardops/k8s-workshop .
kubectl apply -f k8s/configmap.yaml
kubectl apply -f k8s/deployment.yaml
kubectl apply -f k8s/secrets.yaml
kubectl apply -f k8s/service.yaml
minikube service hello-worldBuild and push the image first, then launch it using kubectl run.
$ kubectl run hello-world --image=ark3/hello-world --port 8000 --expose
service/hello-world created
deployment.apps/hello-world created
$ kubectl get svc hello-world
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
hello-world ClusterIP 10.3.246.174 <none> 8000/TCP 1m
$ kubectl get deploy,po -l run=hello-world
NAME DESIRED CURRENT UP-TO-DATE AVAILABLE AGE
deployment.extensions/hello-world 1 1 1 1 2m
NAME READY STATUS RESTARTS AGE
pod/hello-world-776fc969b9-8m457 1/1 Running 0 2m
$ kubectl run curl-from-cluster -it --rm --image=fedora --restart=Never -- curl hello-world:8000
Hello, world!
pod "curl-from-cluster" deleted
$ kubectl logs hello-world-776fc969b9-8m457
* Serving Flask app "server" (lazy loading)
* Environment: production
WARNING: Do not use the development server in a production environment.
Use a production WSGI server instead.
* Debug mode: on
* Running on https://0.0.0.0:8000/ (Press CTRL+C to quit)
* Restarting with stat
* Debugger is active!
* Debugger PIN: 305-616-111
10.0.235.232 - - [03/Apr/2019 17:15:29] "GET / HTTP/1.1" 200 -Delete minikube
minikube deleteIf you are running it from your laptop and would like to clean all images you can run:
docker system prune -aLicensed under Apache 2.0. Please see License for details.
test #1 test #2.1 test #3 test #4 test #5 test #10