Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
Continuous Delivery on the Kuberrnetes Platform
Search
Nicolas Byl
February 16, 2017
Technology
0
260
Continuous Delivery on the Kuberrnetes Platform
Nicolas Byl
February 16, 2017
Tweet
Share
More Decks by Nicolas Byl
See All by Nicolas Byl
Die Flucht aus der Prototypen-Hölle
nbyl
0
41
Lean Prototyping for Industrial-IoT Projects
nbyl
0
38
DevSecOps - Vom Unikum zur gut geölten Maschine
nbyl
0
89
Securing your software supply chain
nbyl
0
350
Keeping-Up-WithUpstream.pdf
nbyl
0
150
Dr. Kube und der Helm - Anatomie einer CD-Pipeline
nbyl
0
110
Securing the "other" supply chain
nbyl
0
250
Kubernetes - Auf die Cluster, Fertig, Los!
nbyl
0
170
Helm - Kubernetes Deployments richtig gemacht
nbyl
0
120
Other Decks in Technology
See All in Technology
生成AI開発案件におけるClineの業務活用事例とTips
shinya337
0
160
Microsoft Build 2025 技術/製品動向 for Microsoft Startup Tech Community
torumakabe
2
320
Geminiとv0による高速プロトタイピング
shinya337
0
170
整頓のジレンマとの戦い〜Tidy First?で振り返る事業とキャリアの歩み〜/Fighting the tidiness dilemma〜Business and Career Milestones Reflected on in Tidy First?〜
bitkey
0
160
強化されたAmazon Location Serviceによる新機能と開発者体験
dayjournal
3
230
mrubyと micro-ROSが繋ぐロボットの世界
kishima
2
380
AI導入の理想と現実~コストと浸透〜
oprstchn
0
140
プロダクトエンジニアリング組織への歩み、その現在地 / Our journey to becoming a product engineering organization
hiro_torii
0
130
あなたの声を届けよう! 女性エンジニア登壇の意義とアウトプット実践ガイド #wttjp / Call for Your Voice
kondoyuko
4
490
OPENLOGI Company Profile
hr01
0
67k
Node-REDのFunctionノードでMCPサーバーの実装を試してみた / Node-RED × MCP 勉強会 vol.1
you
PRO
0
120
20250625 Snowflake Summit 2025活用事例 レポート / Nowcast Snowflake Summit 2025 Case Study Report
kkuv
1
360
Featured
See All Featured
Understanding Cognitive Biases in Performance Measurement
bluesmoon
29
1.8k
Why Our Code Smells
bkeepers
PRO
337
57k
Making the Leap to Tech Lead
cromwellryan
134
9.4k
Agile that works and the tools we love
rasmusluckow
329
21k
Save Time (by Creating Custom Rails Generators)
garrettdimon
PRO
31
1.3k
Scaling GitHub
holman
459
140k
Documentation Writing (for coders)
carmenintech
72
4.9k
Improving Core Web Vitals using Speculation Rules API
sergeychernyshev
17
950
Writing Fast Ruby
sferik
628
62k
Typedesign – Prime Four
hannesfritz
42
2.7k
The Cost Of JavaScript in 2023
addyosmani
51
8.5k
What’s in a name? Adding method to the madness
productmarketing
PRO
23
3.5k
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