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Continuous Delivery on the Kuberrnetes Platform
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Nicolas Byl
February 16, 2017
Technology
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Continuous Delivery on the Kuberrnetes Platform
Nicolas Byl
February 16, 2017
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Transcript
1 CONTINUOUS DELIVERY ON THE KUBERNETES PLATFORM microXchg 2017 Nicolas
Byl, codecentric AG
2 . 1 GETTING STARTED
2 . 2 Mission Statement You can follow the pipeline
on your device. Install prequisites
2 . 3 Prequisites https://github.com/nbyl/cd-workshop-demo
2 . 4 Organisational Stuff Ask questions anytime! Breaks?
None
2 . 5 3 . 1 CONTINUOUS DELIVERY
3 . 2 Key Concepts The software is releasable at
at any time The whole process from source to production is automated Decouple technical rollout from feature rollout
3 . 3 Continuous Delivery vs. Continuous Deployment Continuous Delivery:
Software is releasable at any time Continuous Deployment: Software is released on every change
4 . 1 DOCKER
None
4 . 2
4 . 3
4 . 4
4 . 5
4 . 6 4 . 7 Dockerfile FROM java:8 MAINTAINER
Marcel Birkner <
[email protected]
> ADD target/edmp-sample-app*.jar app.jar RUN bash -c 'touch /app.jar' ENTRYPOINT ["java","-jar","/app.jar"]}
None
4 . 8 5 . 1 KUBERNETES
"Kubernetes is an open-source platform for automating deployment, scaling, and
operations of application containers across clusters of hosts, providing container- centric infrastructure."
5 . 2 portable: public, private, hybrid, multi-cloud extensible: modular,
pluggable, hookable, composable self-healing: auto-placement, auto-restart, auto- replication, auto-scaling
5 . 3
5 . 4 5 . 5 Pods & Co.
5 . 6 Pods
5 . 7 Replication Controller P P P
5 . 8 Deployment combination of pod & replication controller
edited as a unit
apiVersion: extensions/v1beta1 kind: Deployment metadata: name: frontend spec: replicas: 3
template: metadata: labels: app: guestbook tier: frontend spec: containers: - name: php-redis image: gcr.io/google-samples/gb-frontend:v4 resources: requests:
5 . 9 5 . 10 Services
5 . 11 endpoint for a set of pods an
external endpoint can be resolved using DNS environment variables
None
5 . 12 6 . 1 SHOWCASE PROJECT
6 . 2 confy microservice to manage conference talks and
speakers technology: REST-API UI using Gradle Spring Boot (Web, JPA) ng-admin https://github.com/nbyl/confy
6 . 3 Target Platform kubernetes PostgreSQL
6 . 4 Testing Requirements automatic testing using the target
database user acceptance test before exposing new versions
6 . 5 Build Pipeline build publish docker container integration
test user acceptance test production
6 . 6 Assumptions any manual interaction will be done
in reasonable period our cluster will (for now) contain of only one host
7 . 1 LAB 1: SETUP
7 . 2 Recently on this Program... Have you installed
the prerequisites?
7 . 3 Create a cluster minikube start --memory 4096
kubectl apply -f minikube/storageclass.yml
7 . 4 Install Helm helm init
7 . 5 Install Jenkins helm install stable/jenkins --set Agent.Memory=1024Mi
--name=cd minikube service cd-jenkins
8 . 1 LAB 2: CONTINUOUS INTEGRATION
8 . 2 Objectives build an artefact of the software
run all unit tests and in-tree integration tests
8 . 3 Jenkins Kubernetes Plugin creates a new pod
for every job use the pod as a temporary build slave
8 . 4 Let's Go create a new pipeline job
use as SCM source for your Jenkinsfile https://github.com/nbyl/cd-workshop-demo.git
8 . 5 caveat build cache is gone after every
build
None
8 . 6 8 . 7 persistent volumes create manually
use storageclass with auto- provisioner
kind: StorageClass apiVersion: storage.k8s.io/v1beta1 metadata: name: generic provisioner: kubernetes.io/host-path
8 . 8 kind: PersistentVolumeClaim apiVersion: v1 metadata: name: gradle-cache
annotations: volume.beta.kubernetes.io/storage-class: "generic" spec: accessModes: - ReadWriteOnce resources: requests: storage: 8Gi
8 . 9 9 . 1 LAB 3: BUILDING A
DOCKER CONTAINER
9 . 2 Objectives build a docker container containing the
application make the container available for deployment
9 . 3 Build Pod Revisited using build pods is
scalable and reproducible the host docker daemon is not reachable
9 . 4 Docker-in-Docker Builds mount the docker sockets inside
the container /run/docker.sock /var/run/docker.sock image will be built in host docker Warning: possible security problem
10 . 1 LAB 4: INTEGRATION TESTING
10 . 2 Objectives create a deployment description for the
application deployment the application in a configuration analog to production run an integration test verifying the basic functionality
10 . 3 Helm Chart helm create helm/confy [edit] helm
upgrade --install dev-confy helm-confy
10 . 4 Configure the Application env: - name: SPRING_DATASOURCE_URL
value: {{ .Values.database.url }} - name: SPRING_DATASOURCE_DRIVER value: {{ .Values.database.driver }} - name: SPRING_DATASOURCE_USERNAME value: {{ .Values.database.username }} - name: SPRING_DATASOURCE_PASSWORD value: {{ .Values.database.password }}
10 . 5 Simulate roduction use the same database server
as in production treat system as blackbox
11 . 1 LAB 5: USER ACCEPTANCE TESTING
11 . 2 Objectives deploy the application accessible for users
allow manual testing continue to production after manual confirmation
11 . 3 Ingress
11 . 4 Ingress Controller Read Ingress state route accordingly
Implementations: NGINX traefik F5 ...
12 . 1 LAB 5: PRODUCTION DEPLOYMENT
12 . 2 Objectives make application available for end users
(nothing new to learn)
13 . 1 WRAP UP
13 . 2 Links https://kubernetes.io https://www.cncf.io/ https://www.openshift.com/promotions/kubernetes.html https://fabric8.io https://github.com/ramitsurana/awesome-kubernetes
13 . 3 The End @NicolasByl Copyright 2017