Upgrade to Pro — share decks privately, control downloads, hide ads and more …

Shakr - Google Container Engine을 이용한 빠르고 안정적인 서비스 개발 및 배포

91b2bf7b681403e98e6846677d9ca029?s=47 Minku Lee
July 06, 2017
Technology
1
790

Shakr - Google Container Engine을 이용한 빠르고 안정적인 서비스 개발 및 배포

Shakr에서 기존 인프라스트럭쳐를 어떻게 Container Engine으로 이전했는지, 새로운 서비스를 빠르게 Container Engine에 배포할 수 있었는지를 소개합니다.

91b2bf7b681403e98e6846677d9ca029?s=128

Minku Lee

July 06, 2017
Tweet

More Decks by Minku Lee

See All by Minku Lee
Google Cloud Summit Seoul - GKE @ Shakr
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
290
GCP+GKE Deep Dive Part 1: Initial App Development
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
350
GCP+GKE Deep Dive Part 2: Advanced Cluster Management
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
160
Containers @ Google App Engine
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
150
Container CI/CD with Google Cloud Platform
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
290
쉐이커의 AWS 이용 사례
91b2bf7b681403e98e6846677d9ca029?s=48 premist
0
110
Waffle @ Startup Asia
91b2bf7b681403e98e6846677d9ca029?s=48 premist
1
150
Waffle @ Youth Venture Summit
91b2bf7b681403e98e6846677d9ca029?s=48 premist
1
87

Other Decks in Technology

See All in Technology
Deeplearning from almost scratch
180bbdf8267422d5814fd498ecea043a?s=48 hn410
0
580
Adopting Kafka for the #1 job site in the world
D984cd543d2abef28596cc5cfe82240c?s=48 ymyzk
1
260
株式会社オプティム_採用会社紹介資料 / optim-recruit
5c097a7b75c8802b073774faa7276503?s=48 optim
0
5.2k
20220510_簡単にできるコスト異常検出（Cost Anomaly Detection） /jaws-ug-asa-cost-anomaly-detection-20220510
97b3cca999b52cb5296675ac0a5c12cd?s=48 emiki
2
310
実験！カオスエンジニアリング / How to Chaos Engineering
140494d272a4d89883a94fdfdb29dea2?s=48 oracle4engineer
PRO
0
130
様々な現場のPower Platform ～小さなエンジニアの奮闘記～
39adbc0cddb8c0ea8470c80248e9e71b?s=48 hyodol2513
0
1.7k
srenext2022-skaru
B16717ef4b7aab0b253d933c3934f280?s=48 mixi_engineers
0
370
AWSの基礎を学ぼうで学んだ9種類のDBを勝手にふりかえる
6395e3c01eccba987502884a2e40b381?s=48 98lerr
2
710
三越伊勢丹の接客DXを支える「DevOps基盤」とは
Ddac93a4fdff089ff3c641b7c1d02255?s=48 imdigitallab
0
250
Who owns the Service Level?
93c80c388fe9d8f9df7d030549a0ff0b?s=48 chaspy
5
700
一人から始めるプロダクトSRE / How to start SRE in a product team, all by yourself
12a5cec7a54018170b1a009731acf477?s=48 vtryo
4
2.3k
Babylon.js v5 新機能の紹介
Eeac2f3b51b69b3cd6fb14ed348f0c6e?s=48 limes2018
0
860

Featured

See All Featured
Robots, Beer and Maslow
9375a9529679f1b42b567a640d775e7d?s=48 schacon
152
7.1k
Six Lessons from altMBA
766b9746b59e6f09e280cd33cf4ed419?s=48 skipperchong
14
1.3k
Agile that works and the tools we love
462dad0dd24c568a32dcdb0ae895ae1b?s=48 rasmusluckow
319
19k
KATA
E9221b172e78e888355fa2fe4541b595?s=48 mclloyd
7
8.6k
The Language of Interfaces
Fde6c3a50ca518a909ef35c22c0ee0e4?s=48 destraynor
148
20k
Scaling GitHub
78b475797a14c84799063c7cd073962f?s=48 holman
451
140k
Infographics Made Easy
282d599b414022eba5096510f675b6e2?s=48 chrislema
233
17k
The MySQL Ecosystem @ GitHub 2015
Be9caeb9d4ef9944d151af909063ed6e?s=48 samlambert
238
11k
How GitHub Uses GitHub to Build GitHub
78b475797a14c84799063c7cd073962f?s=48 holman
465
280k
We Have a Design System, Now What?
95d9f37115fbb0d13135d0f77132f856?s=48 morganepeng
35
2.9k
Bootstrapping a Software Product
A9179349dd2bdc67f377719f56d85656?s=48 garrettdimon
295
110k
Learning to Love Humans: Emotional Interface Design
5f50f94346fbcb23706f0707169317a4?s=48 aarron
261
37k

Transcript

  1. Harder, better, faster, stronger with Google Container Engine ҳӖஶప੉ցূ૓ਸࢎਊೠࡅܰҊউ੿੸ੋࢲ࠺झѐߊ߂ߓನ CTO

    MINKU LEE

  2. v ⿏࠺٣য়ҟҊ Container icon by Dominic Plag from the Noun

    Project ֥ۄ਎੿ب۽рױೠ࠺٣য়ઁ੘ݧ૓࠺٣য়٣੗ੋ੉ೠоٙ

  3. Shakr Infrastructure ⿏֙ஶప੉ցӝ߈ইఃఫ୊۽੹ജ ⿏֙($1ࢎਊद੘ ⿏֙؀ࠗ࠙੄ஹೊ౴झషܻ૑੗ਗਸ($1۽੉੹ 
 $POUBJOFS&OHJOFद೷द੘ ⿏അ੤؀ࠗ࠙੄௿ۄ਋٘ஹೊ౴੘সਸ
 $POUBJOFS&OHJOFীࢲҳز઺

  4. Topics Kubernetes Container Engine Case Studies

  5. Kubernetes

  6. Why Container? ⿏زੌೞ٘ਝয7.ղীࢲࠁ׮ਬোೞѱܻࣗझܳ ҙܻೡࣻ੓਺ ⿏য٣ࢲա੤അоמೠগ೒ܻா੉࣌ҳزജ҃ ⿏7.؀࠺੸਷য়ߡ೻٘۽੸׼ೠѺܻࢿઁҕ١ Container icon by Dominic

    Plag from the Noun Project

  7. Kubernetes ⿏ஶప੉ցӝ߈গ೒ܻா੉࣌ਸߓನೞҊ ഛ੢ೞҊ  ҙܻ೧઱חदझమ ⿏ҳӖ੉ࢎਊೞחஶప੉ցҙܻदझమ੄
 ই੉٣য৬֢ೞ਋ܳ҅थೠ೐۽ં౟ ⿏৔ܻӝস੉ইצ-JOVY'PVOEBUJPOীࢲ਍৔ೞח
 $MPVE/BUJWF$PNQVUJOH'PVOEBUJPOীࢲ೐۽ ં౟ܳҙܻ

  8. Kubernetes ⿏ஶప੉ցӝ߈গ೒ܻா੉࣌झாે݂ ⿏ࢲ࠺झ٣झழߡܻ ⿏۽٘ߖ۠य ⿏ࢸ੿߂࠺޻੿ࠁҙܻ ⿏٣झ௼ҙܻ ⿏١١

  9. None

  10. ࠺तೠࣗ೐౟ਝয ⿏%PDLFS4XBSN ⿏"NB[PO&$4 ⿏.FTPTQIFSF "QBDIF.FTPT  ⿏)BTIJ$PSQ/PNBE

  11. ࠺तೠࣗ೐౟ਝয؀࠺ъ੼ ⿏ஶప੉ցझாે݂ࠗఠ۽٘ߖ۠य ࢸ੿ ٣झ௼ҙܻө૑
 ߹ب੄بҳহ੉೧Ѿоמ ⿏($1ղীࢲݻߣ੄௿ܼਵ۽औѱ௿۞झఠࢤࢿоמ ⿏ৈ۞௿ۄ਋٘ઁҕ੗৬߬যݫఎࢲߡܳഒ೤ೞৈ
 ௿۞झఠܳҳ୷ೡࣻ੓਺ $MVTUFS'FEFSBUJPO 

    ⿏4UBUFMFTTೠগ೒ܻா੉࣌ࡺ݅੉ইצ4UBUFGVMগ೒ܻா੉࣌بҳز ೡࣻ੓ח١ৈ۞दաܻয়ী؀ೠ؀਽

  12. Kubernetes ҳࢿਃࣗ ⿏1PE ⿏%FQMPZNFOU ⿏4FSWJDF ⿏*OHSFTT ⿏%BFNPO4FU ⿏4FDSFU ⿏$POGJH.BQ ⿏4UBUFGVM4FU

    ⿏3FQMJDB4FU ⿏$SPO+PC ⿏+PC ⿏1FSTJTUFOU7PMVNF ⿏1FSTJTUFOU7PMVNF$MBJN ⿏FUDj

  13. Kubernetes ҳࢿਃࣗ ⿏1PE ⿏%FQMPZNFOU ⿏4FSWJDF ⿏*OHSFTT ⿏%BFNPO4FU ⿏4FDSFU ⿏$POGJH.BQ ⿏4UBUFGVM4FU

    ⿏3FQMJDB4FU ⿏$SPO+PC ⿏+PC ⿏1FSTJTUFOU7PMVNF ⿏1FSTJTUFOU7PMVNF$MBJN ⿏FUDj

  14. Case Study: Shakr ӝઓੋ೐ۄܳ$POUBJOFS&OHJOFਵ۽੉੹ೞӝ

  15. ӝઓইఃఫ୊ Redis Task Queue Fastly CDN Original Media Files Cloud

    Storage Processed Media Files Cloud Storage Storage User Uploads Cloud Storage Rendered Segments Cloud Storage CDN Interconnect Upload Processing Worker Compute Engine Multiple Instances Video Processing Worker Compute Engine Multiple Instances Image Processing Worker Compute Engine Multiple Instances Video Rendering Worker Compute Engine Multiple Instances Video Design Processing Worker Compute Engine Multiple Instances Compute Papertrail Logging Datadog Monitoring

  16. ೧ѾೞҊर঻؍੼ ⿏ਬোೞ૑ޅೠஹೊ౴੗ਗഝਊ
 ೠੋझఢझӒܛ੄$16ࢎਊܫ੉ੌٸҗࠗೞ࢚కੋ׮ܲੋझఢझӒܛ੉੉ܳഝਊೡࣻহਸө  ⿏ߓನ੺ର੄ߣѢ۽਑
 "QQ&OHJOF੉ա)FSPLVэ਷1BB4୊ۢಞܻೞѱߓನೡࣻחহਸө  ⿏ৈ۞ҳࢿਃࣗܳ߹ѐ۽ҙܻ೧ঠೣ
 ೾झ୓௼ ۽Ӓझ౟ܻ߁җэ਷ҳࢿਃࣗܳಞܻೞѱࢸ੿ೡࣻחহਸө

  17. Compute Engine ীࢲ Container Engine ਵ۽ ⿏$POUBJOFS&OHJOF௿۞झఠࢤࢿ ⿏%FQMPZNFOU4QFD੘ࢿ ⿏ߓನ߂܀݂সؘ੉౟ ⿏/PEF1PPM୶о߂࢏ઁ

    ⿏%BUBEPH"HFOUܳాೠݽפఠ݂ ⿏۽Ӓझ౟ܻ߁߂੷੢

  18. Container Engine ௿۞झఠ ࢤࢿ

  19. Google Container Engine Kubernetes as a Service

  20. Google Container Engine ⿏,VCFSOFUFTOPEF৬FUDEੋझఢझܳ(PPHMF੉ҙܻ ⿏੗زਵ۽(PPHMF$PNQVUF&OHJOFੋझఢझࢤࢿ߂ࢸ੿ ⿏੗زਵ۽ߑച߷ࢸ੿ ⿏੗زਵ۽۽٘ߖ۠यࢸ੿

  21. ௿۞झఠࢤࢿ ⿏ਬোೞ૑ޅೠஹೊ౴੗ਗഝਊ
 ೠੋझఢझӒܛ੄$16ࢎਊܫ੉ੌٸҗࠗೞ࢚కੋ׮ܲੋझఢझӒ ܛ੉੉ܳഝਊೡࣻহਸө  ⿏ߓನ੺ର੄ߣѢ۽਑
 "QQ&OHJOF੉ա)FSPLVэ਷1BB4୊ۢಞܻೞѱߓನೡࣻ੓ਸө  ⿏ৈ۞ҳࢿਃࣗܳ߹ѐ۽ҙܻ೧ঠೣ
 ۽٘ߖ۠ࢲ

    ೾झ୓௼ ۽Ӓझ౟ܻ߁җэ਷ҳࢿਃࣗܳಞܻೞѱࢸ੿ೡ ࣻחহਸө

  22. ௿۞झఠࢤࢿ $ gcloud container clusters create my-awesome-cluster \ --zone asia-northeast1-a

    \ --enable-cloud-logging --enable-cloud-monitoring \ --machine-type n1-standard-4 \ —-num-nodes 3 Bash

  23. $ gcloud container clusters get-credentials \ my-awesome-cluster --zone asia-northeast1-a Fetching

    cluster endpoint and auth data. kubeconfig entry generated for my-awesome-cluster. $ kubectl proxy Starting to serve on 127.0.0.1:8001 Bash Kubernetes Dashboard

  24. Kubernetes Dashboard

  25. Deployment Spec ੘ࢿ

  26. Pod ↟ о੢੘਷ஹೊ౴ਬ׫ ↟ ೞա഑਷ৈ۞ѐ੄ஶప੉ց۽ҳࢿ ↟ 1PEউ੄ஶప੉ցח੷੢ҕрҗஶఫझ౟ܳҕਬ ↟ ൃߊࢿઙܐदݽؘٚ੉ఠਬप ↟

    ೙ਃद($4ա1FSTJTUFOU7PMVNFਸࢎਊೞৈؘ੉ఠܳࠁઓ

  27. Deployment ⿏ৈ۞ѐ੄1PEਸߓನೞҊҙܻೞחܻࣗझ ⿏1PE੄іࣻ SFQMJDB ܳ૑੿೧઱ݶ੿೧૓іࣻ݅ఀ
 ੗زਵ۽୶о߂࢏ઁ ⿏܀݂সؘ੉౟৬܀ߔҳഅ 3FQMJDB4FU

  28. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment

  29. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 3

  30. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 3 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.0.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi

  31. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 3 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.0.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi livenessProbe: httpGet: path: / port: 80 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 3

  32. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 3 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.0.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi livenessProbe: httpGet: path: / port: 80 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 3 env: - name: RACK_ENV value: production - name: PORT value: 80 volumeMounts: - name: tmp mountPath: /tmp volumes: - name: tmp emptyDir: {}

  33. ߓನ

  34. Deployment ߓನೞӝ Bash # Get credentials $ gcloud container clusters

    get-credentials my-awesome-cluster Fetching cluster endpoint and auth data. kubeconfig entry generated for my-awesome-cluster.

  35. Deployment ߓನೞӝ Bash # Get credentials $ gcloud container clusters

    get-credentials my-awesome-cluster Fetching cluster endpoint and auth data. kubeconfig entry generated for my-awesome-cluster. # Deploy! $ kubectl apply -f path/to/deployment.yml deployment "myapp-deployment" created

  36. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 3 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.0.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi livenessProbe: httpGet: path: / port: 80 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 3 env: - name: RACK_ENV value: production - name: PORT value: 80 volumeMounts: - name: tmp mountPath: /tmp volumes: - name: tmp emptyDir: {}

  37. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 30 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.0.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi livenessProbe: httpGet: path: / port: 80 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 3 env: - name: RACK_ENV value: production - name: PORT value: 80 volumeMounts: - name: tmp mountPath: /tmp volumes: - name: tmp emptyDir: {}

  38. yaml deployment.yml apiVersion: apps/v1beta1 kind: Deployment metadata: name: myapp-deployment spec:

    replicas: 30 template: metadata: labels: app: myapp spec: containers: - name: myapp image: gcr.io/my-project/myapp:3.1.0 resources: requests: cpu: 200m memory: 100Mi limits: cpu: "4" memory: 8Gi livenessProbe: httpGet: path: / port: 80 readinessProbe: httpGet: path: / port: 80 initialDelaySeconds: 5 periodSeconds: 3 env: - name: RACK_ENV value: production - name: PORT value: 80 volumeMounts: - name: tmp mountPath: /tmp volumes: - name: tmp emptyDir: {}

  39. Deployment ܀݂সؘ੉౟ Bash kubectl apply -f path/to/deployment.yml deployment "myapp-deployment" updated

  40. Node Pool୶о߂࢏ઁ

  41. Node Pool୶о߂࢏ઁ ⿏ਬোೞ૑ޅೠஹೊ౴੗ਗഝਊ
 ೠੋझఢझӒܛ੄$16ࢎਊܫ੉ੌٸҗࠗೞ࢚కੋ׮ܲੋझఢझӒ ܛ੉੉ܳഝਊೡࣻহਸө  ⿏ߓನ੺ର੄ߣѢ۽਑
 "QQ&OHJOF੉ա)FSPLVэ਷1BB4୊ۢಞܻೞѱߓನೡࣻ੓ਸө  ⿏ৈ۞ҳࢿਃࣗܳ߹ѐ۽ҙܻ೧ঠೣ


    ۽٘ߖ۠ࢲ ೾झ୓௼ ۽Ӓझ౟ܻ߁җэ਷ҳࢿਃࣗܳಞܻೞѱࢸ੿ೡ ࣻחহਸө

  42. Node Pool୶о߂࢏ઁ $ gcloud container node-pools create my-new-nodepool \ --cluster

    my-awesome-cluster \ --machine-type n1-standard-16 \ --num-nodes 5 Bash

  43. Preemptible Node Pool

  44. Preemptible VM (PVM)

  45. Preemptible VM (PVM)

  46. Preemptible Node Pool $ gcloud beta container node-pools create my-new-nodepool

    \ --cluster my-awesome-cluster \ --machine-type n1-standard-16 \ --num-nodes 5 \ --preemptible Bash BETA

  47. PVM with nodeSelector apiVersion: v1 kind: Pod spec: nodeSelector: !cloud.google.com/gke-preemptible

    yaml

  48. PVM with nodeAffinity apiVersion: v1 kind: Pod spec: affinity: nodeAffinity:

    preferredDuringSchedulingIgnoredDuringExecution: nodeSelectorTerms: - matchExpressions: - key: cloud.google.com/gke-preemptible operator: DoesNotExist yaml BETA

  49. Datadog Agent ܳాೠݽפఠ݂

  50. None

  51. Datadog Agentࢸ஖ $ kubectl create -f dd-agent.yaml daemonset "dd-agent" created

    Bash

  52. ChatOps োز

  53. ۽Ӓझ౟ܻ߁߂੷੢

  54. ௿۞झఠࢸ੿ $ gcloud container clusters create my-awesome-cluster \ --zone asia-northeast1-a

    \ --enable-cloud-logging --enable-cloud-monitoring \ --machine-type n1-standard-4 \ —-num-nodes 3 Bash

  55. ۽Ӓী੉੹౟

  56. Stackdriver Logging ⿏$POUBJOFS&OHJOFਸॵ׮ݶਗ௿ܼࢸ੿оמ ⿏ఫझ౟+40/ನݘ૑ਗ ⿏पदр۽Ӓझ౟ܻ߁ ⿏ޖܐ౭যઁҕ ೐۽ં౟׼ೠ׳(# ੌਬ૑  ⿏"84ܻࣗझبݽפఠ݂оמ

    ⿏$MPVE4UPSBHF #JH2VFSZ 1VC4VCਵ۽۽ӒFYQPSUоמ

  57. Stackdriver Logging

  58. BigQuery Export

  59. ੉੹റ ⿏ ೠੋझఢझӒܛ੄$16ࢎਊܫ੉ੌٸҗࠗೞ࢚కੋ׮ܲੋझఢझӒܛ੉੉ܳഝਊೡࣻহਸө 
 ª੔ৈ੗ਗ୭ࣗച ⿏ "QQ&OHJOF੉ա)FSPLVэ਷1BB4୊ۢಞܻೞѱߓನೡࣻחহਸө 
 ªLVCFDUMழݔ٘ۄੋبҳ۽ए਍ߓನ੗زച ⿏

    ೾झ୓௼ ۽Ӓझ౟ܻ߁җэ਷ҳࢿਃࣗܳಞܻೞѱࢸ੿ೡࣻחহਸө 
 ª؀ࠗ࠙੄ੋ೐ۄҳࢿਃࣗܳऔѱࢸ੿оמ

  60. Case Study: StoriesAds ࢜۽਍ࢲ࠺झܳ$POUBJOFS&OHJOFী۠டೞӝ

  61. Make Instagram Stories Ads for your brand.

  62. Schedule April 2017 2 9 16 23 30 3 10

    17 24 4 11 18 25 5 12 19 26 6 13 20 27 7 14 21 28 8 15 22 29

  63. Schedule April 2017 2 9 16 23 30 3 10

    17 24 4 11 18 25 5 12 19 26 6 13 20 27 7 14 21 28 8 15 22 29 ൞ݎ۠டੌ

  64. Schedule April 2017 2 9 16 23 30 3 10

    17 24 4 11 18 25 5 12 19 26 6 13 20 27 7 14 21 28 8 15 22 29 ೐۽షఋ੉ೝ ೐۽ં౟ࣇস ൞ݎ۠டੌ

  65. Schedule April 2017 2 9 16 23 30 3 10

    17 24 4 11 18 25 5 12 19 26 6 13 20 27 7 14 21 28 8 15 22 29 ೐۽షఋ੉ೝ ೐۽ં౟ࣇস ൞ݎ۠டੌ ߔূ٘೐ۿ౟ূ٘ѐߊ $*ജ҃ࣇস

  66. Schedule April 2017 2 9 16 23 30 3 10

    17 24 4 11 18 25 5 12 19 26 6 13 20 27 7 14 21 28 8 15 22 29 ೐۽షఋ੉ೝ ೐۽ં౟ࣇস ൞ݎ۠டੌ ߔূ٘೐ۿ౟ূ٘ѐߊ $*ജ҃ࣇস ೐۽؋࣌ജ҃ҳ୷

  67. Challenges ⿏ઁೠػੌ੿
 ࢜۽਍بҳٜܳ݅ӝਤ೧ӝഥ࠺ਊਸऔࢎܻ૑୹ೡࣻহח࢚ട ⿏੹ࣁ҅ࢎਊ੗ܳ؀࢚ਵ۽ೠࢲ࠺झ
 %BZࠗఠ੹ࣁ҅ࢎਊ੗ীѱ௝੸ೠࣘبܳઁҕ೧઱যঠೠ׮ ⿏৘ஏೞӝ൨ٚߑޙ੗ࣻ
 ੸ѱࢎਊೡٸח҃ઁ੸ਵ۽਍৔ೞҊ ࢎਊ੗оૐоೣীٮۄਬোೞѱഛ੢ೡࣻ੓যঠೠ׮

  68. Challenges Container Engine

  69. ইఃఫ୊ Container Engine Redis Task Queue Stackdriver Logging Cloud CDN

    Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  70. Container Builder Container Engine Redis Task Queue Stackdriver Logging Cloud

    CDN Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  71. Container Builder ⿏$MPVE4PVSDF3FQPTJUPSZ (JU)VC #JUCVDLFU૑ਗ ⿏࠳ے஖աకӒоੌ੿ઑѤীݏਵݶ࠽٘प೯ ⿏۽Ӓपदрഛੋоמ ⿏ޖܐ౭যઁҕ ೐۽ં౟׼ೞܖ࠙࠽٘दрઁҕ 

    ⿏ৈ۞ஶప੉ց߽ܳ۳۽ҳزоמ ⿏ݒפ૑٘ࢲ࠺झ

  72. yaml cloudbuild.yaml steps: - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn'] id: 'install-packages'

  73. yaml cloudbuild.yaml steps: - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn'] id: 'install-packages'

    - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=staging' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'staging' - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=production' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'production'

  74. yaml cloudbuild.yaml steps: - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn'] id: 'install-packages'

    - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=staging' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'staging' - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=production' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'production' - name: 'gcr.io/cloud-builders/docker' args: [ 'build', '-t', 'gcr.io/$PROJECT_ID/frontend:staging-$COMMIT_SHA', '--build-arg', 'backend=staging', '.' ] waitFor: ['staging'] - name: 'gcr.io/cloud-builders/docker' args: [ 'build', '-t', 'gcr.io/$PROJECT_ID/frontend:production-$COMMIT_SHA', '--build-arg', 'backend=production', '.' ] waitFor: ['production']

  75. yaml cloudbuild.yaml steps: - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn'] id: 'install-packages'

    - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=staging' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'staging' - name: 'gcr.io/keynote-demo-project/node:7.9.0' args: ['yarn', 'run', 'build'] env: - 'BACKEND=production' - 'COMMIT_SHA=$COMMIT_SHA' waitFor: ['install-packages'] id: 'production' - name: 'gcr.io/cloud-builders/docker' args: [ 'build', '-t', 'gcr.io/$PROJECT_ID/frontend:staging-$COMMIT_SHA', '--build-arg', 'backend=staging', '.' ] waitFor: ['staging'] - name: 'gcr.io/cloud-builders/docker' args: [ 'build', '-t', 'gcr.io/$PROJECT_ID/frontend:production-$COMMIT_SHA', '--build-arg', 'backend=production', '.' ] waitFor: ['production'] images: [ 'gcr.io/$PROJECT_ID/frontend:staging-$COMMIT_SHA', 'gcr.io/$PROJECT_ID/frontend:production-$COMMIT_SHA' ]

  76. Deployment Container Engine Redis Task Queue Stackdriver Logging Cloud CDN

    Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  77. yaml deployment-frontend.yaml apiVersion: apps/v1beta1 kind: Deployment metadata: name: frontend-deployment spec:

    replicas: 2 template: metadata: labels: app: frontend spec: containers: - name: frontend image: gcr.io/project/frontend:staging-v01 resources: requests: memory: 100Mi ports: - containerPort: 80

  78. yaml deployment-api.yaml apiVersion: apps/v1beta1 kind: Deployment metadata: name: api-deployment spec:

    replicas: 3 template: metadata: labels: app: api spec: containers: - name: api image: gcr.io/project/api:v01 resources: requests: memory: 100Mi ports: - containerPort: 80 env: - name: RAILS_ENV value: production - name: RAILS_LOG_TO_STDOUT value: "true" - name: CONFIG_KEY valueFrom: configMapKeyRef: name: my-configs key: CONFIG_KEY - name: SECRET_KEY valueFrom: secretKeyRef: name: my-secrets key: SECRET_KEY

  79. yaml deployment-api.yaml apiVersion: apps/v1beta1 kind: Deployment metadata: name: api-deployment spec:

    replicas: 3 template: metadata: labels: app: api spec: containers: - name: api image: gcr.io/project/api:v01 resources: requests: memory: 100Mi ports: - containerPort: 80 env: - name: RAILS_ENV value: production - name: RAILS_LOG_TO_STDOUT value: "true" - name: CONFIG_KEY valueFrom: configMapKeyRef: name: my-configs key: CONFIG_KEY - name: SECRET_KEY valueFrom: secretKeyRef: name: my-secrets key: SECRET_KEY

  80. secret.yaml apiVersion: v1 kind: Secret metadata: name: my-secrets type: Opaque

    data: SECRET_KEY: <base64_string> config_map.yaml apiVersion: v1 kind: ConfigMap metadata: name: my-configs type: Opaque data: CONFIG_KEY: <base64_string>

  81. Container Engine Redis Task Queue Stackdriver Logging Cloud CDN Container

    Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing Cloud Datastore

  82. 0 6 / 0 7/ 20 1 7, 1 4

    *4 5 P ag e 1 of 1 https:/ /cloud.google.com/storage-options/

  83. Cloud Datastore ⿏#JH5BCMFীӝ߈ਸك/P42-ؘ੉ఠ߬੉झ ⿏ࢥ٬ TIBSEJOH җࠂઁ SFQMJDBUJPO ਸ੗زਵ۽ҙܻೞৈਬোೠഛ੢оמ ⿏ੋؙझ૑ਗ ੗زࢤࢿ߂ࣻزࢤࢿ

     ⿏ੋझఢझ׼җӘ੉ইצ੷੢۝җয়ಌۨ੉࣌׼җӘ ⿏ޖܐ౭যઁҕ ⿏/JBOUJD 1PL䟖NPO(Pѐߊࢎ ীࢲࢎਊ઺

  84. https:/ /cloudplatform.googleblog.com/2016/09/bringing-Pokemon-GO-to-life-on-Google-Cloud.html

  85. Service Container Engine Redis Task Queue Stackdriver Logging Cloud CDN

    Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  86. Service ⿏-BZFS5$16%1-PBE#BMBODJOH ⿏ౠ੿1PEٜਸ,VCFSOFUFT௿۞झఠղীࢲ
 যڌѱ੽Ӕ೧ঠೞח૑੿੄ ⿏,VCFSOFUFTղ੢4FSWJDF%JTDPWFSZ۽
 1PEղীࢲ4FSWJDF੽Ӕоמ

  87. Service Discovery $ kubectl exec -ti debug-pod -- bash root@debug-pod:/#

    curl -I http://api-service HTTP/1.1 200 OK X-Frame-Options: SAMEORIGIN X-XSS-Protection: 1; mode=block X-Content-Type-Options: nosniff Content-Type: text/html X-Request-Id: 7b194765-ixz8-1qke-9572-0fa67509e500 X-Runtime: 0.001207 Bash

  88. service-frontend.yaml apiVersion: v1 kind: Service metadata: name: frontend-service labels: app:

    frontend spec: ports: - port: 80 protocol: TCP name: http selector: app: frontend type: NodePort service-api.yaml apiVersion: v1 kind: Service metadata: name: api-service labels: app: api spec: ports: - port: 80 protocol: TCP name: http selector: app: api type: NodePort

  89. Ingress Container Engine Redis Task Queue Stackdriver Logging Cloud CDN

    Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  90. Ingress ⿏-BZFS)551 4 -PBE#BMBODJOH ⿏ഐझ౟੉ܴ߂҃۽ীٮۄౠ੿ߔূ٘۽ਃ୒ۄ਋౴оמ ⿏5-45FSNJOBUJPO૑ਗ ⿏(,&ীࢲח$MPVE)551 4 -PBE#BMBODFSܳ੗زਵ۽ࢤࢿ ⿏ఋࢎ-#৬׮ܰѱQSFXBSNJOHࠛ೙ਃ

    ⿏ਗ௿ܼਵ۽$MPVE$%/ࢸ੿оמ BETA

  91. yaml ingress.yml apiVersion: extensions/v1beta1 kind: Ingress metadata: name: storiesads-com-ingress annotations:

    kubernetes.io/ingress.global-static-ip-name: "storiesads-com" spec: tls: - secretName: tls-certificate rules: - http: paths: - path: /api/* backend: serviceName: api-service servicePort: 80 - path: /* backend: serviceName: frontend-service servicePort: 80

  92. Cloud Load Balancing & CDN Container Engine Redis Task Queue

    Stackdriver Logging Cloud CDN Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  93. ইఃఫ୊ Container Engine Redis Task Queue Stackdriver Logging Cloud CDN

    Container Builder Docker image builds Frontend k8s Deployment Multiple Pods Backend k8s Deployment Multiple Pods Worker k8s Deployment Multiple Pods Datadog Monitoring Cloud Datastore Frontend k8s Service Backend k8s Service StoriesAds k8s Ingress GitHub Source Repository Travis CI Continuous Integration Cloud Load Balancing

  94. റӝ ⿏ಞܻೠ؀दࠁ٘৬LVCFDUM$-*بҳܳࢎਊೞৈݒ਋ࡅܲߓನоמ ⿏և਷ߧਤ੄दաܻয়ী؀਽оמೠ׮নೠܻࣗझઓ੤ ⿏(PPHMF$MPVE1MBUGPSNղ׮ܻܲࣗझ৬ো҅оਊ੉

  95. ਬ੄ೡ੼ ⿏೐۽؋࣌ജ҃ীӂ੢غחੌܻࠗࣗझоই૒("оইצ߬ఋ࢚క ⿏"84١ৈ۞௿ۄ਋٘ܳ৊যݣ౭௿ۄ਋٘௿۞झఠܳ਍৔ೞҊ੗ೡٸח
 ૒੽FUDE৬NBTUFS XPSLFS֢٘ܳࢸ੿೧ঠೣ ⿏.JDSPTPGU"[VSFח,VCFSOFUFT֎੉౭࠳૑ਗ ⿏$PSF04৬э਷স୓ী࠺ਊਸ૑ࠛೞҊ"84ա߬যݫఎীࢲݒפ૑٘۽਍৔оמ ⿏ӏݽоݒ਋੘਷ࢲ࠺झ੄҃਋
 ࢚઱ݫݽܻয়ߡ೻٘١ਸҊ۰೮ਸٸࠗ੸੺ೡࣻ੓਺

  96. We're Hiring! careers.shakr.com ࠺٣য়݃ா౴੄޷ېܳэ੉ٜ݅যоप࠙ਸ଺णפ׮

  97. Thank you! Any questions? MINKU LEE with Shakr dev team