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
230
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
35
Lean Prototyping for Industrial-IoT Projects
nbyl
0
27
DevSecOps - Vom Unikum zur gut geölten Maschine
nbyl
0
83
Securing your software supply chain
nbyl
0
330
Keeping-Up-WithUpstream.pdf
nbyl
0
130
Dr. Kube und der Helm - Anatomie einer CD-Pipeline
nbyl
0
100
Securing the "other" supply chain
nbyl
0
230
Kubernetes - Auf die Cluster, Fertig, Los!
nbyl
0
150
Helm - Kubernetes Deployments richtig gemacht
nbyl
0
120
Other Decks in Technology
See All in Technology
Datadogとともにオブザーバビリティを布教しよう
mego2221
0
130
関東Kaggler会LT: 人狼コンペとLLM量子化について
nejumi
3
460
Fintech SREの挑戦 PCI DSS対応をスマートにこなすインフラ戦略/Fintech SRE’s Challenge: Smart Infrastructure Strategies for PCI DSS Compliance
maaaato
0
450
Kubernetes x k6 で負荷試験基盤を開発して 負荷試験を民主化した話 / Kubernetes x k6
sansan_randd
2
730
マルチモーダル理解と生成の統合 DeepSeek Janus, etc... / Multimodal Understanding and Generation Integration
hiroga
0
360
日経電子版 x AIエージェントの可能性とAgentic RAGによって提案書生成を行う技術
masahiro_nishimi
1
290
30分でわかる『アジャイルデータモデリング』
hanon52_
9
2.2k
Moved to https://speakerdeck.com/toshihue/presales-engineer-career-bridging-tech-biz-ja
toshihue
2
550
技術的負債解消の取り組みと専門チームのお話 #技術的負債_Findy
bengo4com
1
1.2k
Datadog APM におけるトレース収集の流れ及び Retention Filters のはなし / datadog-apm-trace-retention-filters
k6s4i53rx
0
320
管理者しか知らないOutlookの裏側のAIを覗く#AzureTravelers
hirotomotaguchi
2
240
スタートアップ1人目QAエンジニアが QAチームを立ち上げ、“個”からチーム、 そして“組織”に成長するまで / How to set up QA team at reiwatravel
mii3king
1
1.1k
Featured
See All Featured
Learning to Love Humans: Emotional Interface Design
aarron
273
40k
Sharpening the Axe: The Primacy of Toolmaking
bcantrill
40
2k
Adopting Sorbet at Scale
ufuk
74
9.2k
Practical Tips for Bootstrapping Information Extraction Pipelines
honnibal
PRO
12
950
StorybookのUI Testing Handbookを読んだ
zakiyama
28
5.5k
Exploring the Power of Turbo Streams & Action Cable | RailsConf2023
kevinliebholz
29
4.6k
The Cult of Friendly URLs
andyhume
78
6.2k
The Language of Interfaces
destraynor
156
24k
What's in a price? How to price your products and services
michaelherold
244
12k
10 Git Anti Patterns You Should be Aware of
lemiorhan
PRO
656
59k
Building Better People: How to give real-time feedback that sticks.
wjessup
366
19k
Chrome DevTools: State of the Union 2024 - Debugging React & Beyond
addyosmani
3
310
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