Docker and Kubernetes are key elements of modern cloud native deployment automations. After building your microservices, the common practice is to create docker images and create YAML files to automate the deployment with Docker and Kubernetes. Writing these YAMLs and Dockerfile descriptors are really painful and error prone. Ballerina understands the architecture around it; the compiler is environment aware with microservices directly deployable into infrastructures such as Docker and Kubernetes. This session will explore how Ballerina helps to orchestrate microservices into Kubernetes without writing YAMLs and Dockerfiles.

1. Orchestrating Microservices with Docker and Kubernetes
Lakmal Warusawithana - @lakwarus
November 2018

2. In the old days...
We write a program, build it and then
just run that program.

3. Now...
We write it, build it and then have
various ways of running it;

4. .balx
ballerina build <source.bal>

5. FROM ballerina/ballerina
COPY demo.balx /home/ballerina
EXPOSE 9090
CMD ballerina run demo.balx
Create a Dockerfile

6. $> docker build -t my-app .
Sending build context to Docker daemon 7.168kB
Step 1/4 : from ballerina/ballerina
---> a65975411327
Step 2/4 : COPY demo.balx /home/ballerina
---> 3b4e481bef57
Step 3/4 : EXPOSE 9090
---> d95a1292b232
Step 4/4 : CMD ballerina run demo.balx
---> 2698c40bdadd
Successfully built 2698c40bdadd
Successfully tagged my-app:latest
Create the docker image

7. $> docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
my-app latest 2698c40bdadd 1 minute ago 128MB
List the docker image

8. $>docker run -it -p 9090:9090 my-app
ballerina: initiating service(s) in 'demo.balx'
ballerina: started HTTP/WS endpoint 0.0.0.0:9090

9. Ballerina natively understand Docker

10. Lets see how we can run our app in the
Kubernetes?
Now...

11. apiVersion: apps/v1
kind: Deployment
metadata:
name: my-app-deployment
labels:
app: my-app
spec:
replicas: 1
selector:
matchLabels:
app: my-app
template:
metadata:
labels:
app: my-app
spec:
containers:
- name: my-app
image: my-app:latest
imagePullPolicy: "IfNotPresent"
ports:
- containerPort: 9090
Create a deployment.yaml

12. $>kubectl apply -f deployment.yaml
deployment.extensions "my-app-deployment" created
$>kubectl get pods
NAME READY STATUS RESTARTS AGE
my-app-666f4f4bbf 1/1 Running 0 50s

13. apiVersion: "v1"
kind: "Service"
metadata:
labels:
app: "my-app"
name: "my-app"
spec:
ports:
- port: 9090
protocol: "TCP"
targetPort: 9090
selector:
app: "my-app"
type: "NodePort"
Create a service.yaml

14. $>kubectl apply -f my-app-service.yaml
service "hello-service" created
$>kubectl get service
NAME TYPE CLUSTER-IP EXTERNAL-IP PORT(S) AGE
my-app NodePort 10.110.136.115 <none> 9090:31657/TCP 5m

15. However, those parts are not part of
the programming experience for the
developer.

18. Ballerina natively understand Kubernetes

19. Ballerina natively understand Istio

23. Q & A

24. THANK YOU