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Introduction to Cloud Computing with Google Cloud

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Introduction to Cloud Computing
with Google Cloud
Wesley Chun
Developer Advocate, Google
G Suite Dev Show
goo.gl/JpBQ40
Ab...
Agenda
1
Cloud computing
overview
2
Introduction to
Google Cloud
3
Run your code on
serverless
4
All of Cloud
(inspiration...
What is cloud computing?
spar
Google Compute Engine, Google Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Cloud service le...
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Introduction to Cloud Computing with Google Cloud

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This is a 20-30 minute technical talk introducing developers to cloud computing including an overview of Google Cloud computing products. There is a special focus on serverless tools as a convenient way for developers to run code. The talk ends with several inspirational apps showcasing what is possible with Google Cloud tools meant to plant a seed as to consider what is possible.

This is a 20-30 minute technical talk introducing developers to cloud computing including an overview of Google Cloud computing products. There is a special focus on serverless tools as a convenient way for developers to run code. The talk ends with several inspirational apps showcasing what is possible with Google Cloud tools meant to plant a seed as to consider what is possible.

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Introduction to Cloud Computing with Google Cloud

  1. 1. Introduction to Cloud Computing with Google Cloud Wesley Chun Developer Advocate, Google G Suite Dev Show goo.gl/JpBQ40 About the speaker Developer Advocate, Google Cloud ● Mission: enable current and future developers everywhere to be successful using Google Cloud and other Google developer tools & APIs ● Videos: host of the G Suite Dev Show on YouTube ● Blogs: developers.googleblog.com & gsuite-developers.googleblog.com ● Twitters: @wescpy, @GoogleDevs, @GSuiteDevs Previous experience / background ● Software engineer & architect for 20+ years ● One of the original Yahoo!Mail engineers ● Author of bestselling "Core Python" books (corepython.com) ● Technical trainer, teacher, instructor since 1983 (Computer Science, C, Linux, Python) ● Fellow of the Python Software Foundation ● AB (Math/CS) & CMP (Music/Piano), UC Berkeley and MSCS, UC Santa Barbara ● Adjunct Computer Science Faculty, Foothill College (Silicon Valley)
  2. 2. Agenda 1 Cloud computing overview 2 Introduction to Google Cloud 3 Run your code on serverless 4 All of Cloud (inspiration) 5 Wrap-up Cloud computing overview All you need to know about the cloud1
  3. 3. What is cloud computing? spar Google Compute Engine, Google Cloud Storage AWS EC2 & S3; Rackspace; Joyent Cloud service levels/"pillars" SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com G Suite (Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda
  4. 4. Summary of responsibility SaaS Software as a Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking Applications Data Runtime Middleware OS Virtualization Servers Storage Networking IaaS Infrastructure as a Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking PaaS Platform as a Service Managed by YOU Managed by cloud vendor Applications Data Runtime Middleware OS Virtualization Servers Storage Networking on-prem all you, no cloud 2 Introduction to Google Cloud GCP and G Suite
  5. 5. Google Compute Engine, Google Cloud Storage AWS EC2 & S3; Rackspace; Joyent SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google Apps Script Salesforce1/force.com G Suite (Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda Google BigQuery, Cloud SQL, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Cloud Platform vs. G Suite G Suite APIs GCP APIs
  6. 6. Select Google Cloud product categories Storage Compute Machine Learning G Suite Compute Compute Engine (GCE) virtual machines App Engine (GAE) app-hosting Cloud Functions (GCF) function-hosting Cloud Run (GCR) container-hosting Kubernetes Engine (GKE) container orchestration serverless
  7. 7. Storing Data: Cloud SQL cloud Storing Data: Cloud Datastore Cloud Datastore NoSQL cloud
  8. 8. Storing Data: Firebase Firebase JSON real-time firebase Storing Data: Cloud Firestore Cloud Datastore Firebase (For choosing between Firebase & Cloud Firestore: see firebase.google.com/docs/firestore/rtdb-vs-firestore; for choosing between Cloud Datastore & Firestore: see cloud.google.com/datastore/docs/firestore-or-datastore) cloud
  9. 9. Machine Learning (analyze your data) Machine Learning: Cloud Vision & Video Intelligence Google Cloud Vision & Video Intelligence APIs cloud cloud
  10. 10. Machine Learning: Cloud Natural Language Google Cloud Natural Language API cloud Machine Learning: Cloud Translation Google Translate cloud
  11. 11. Machine Learning: Cloud Speech Google Cloud Speech APIs cloud cloud ● What is it, and how does it work? ○ Google Cloud ML APIs use pre-trained models ○ Perhaps those models less suitable for your data ○ Further customize/train our models for your data ○ Without sophisticated ML background ○ Translate, Vision, Natural Language, Video Intelligence, Tables ○ cloud.google.com/automl ● Steps a. Prep your training data b. Create dataset c. Import items into dataset d. Create/train model e. Evaluate/validate model f. Make predictions Cloud AutoML
  12. 12. Storing and Analyzing Data: BigQuery Google BigQuery cloud G Suite APIs Top-level documentation and comprehensive developers overview video at developers.google.com/gsuite
  13. 13. 3 Run your code on Google Cloud serverless GCP: Google App Engine , Google Cloud Functions G Suite: Google Apps Script , Google App Maker > Google Compute Engine Google Cloud Storage cloud cloud Yeah, we got VMs & big disk… but why*?
  14. 14. Serverless: what & why ● What is serverless? ○ Misnomer ○ "No worries" ○ Developers focus on writing code & solving business problems* ● Why serverless? ○ Fastest growing segment of cloud... per analyst research*: ■ $1.9B (2016) and $4.25B (2018) ⇒ $7.7B (2021) and $14.93B (2023) ○ What if you go viral? Autoscaling: your new best friend ○ What if you don't? Code not running? You're not paying. * in USD; source:Forbes (May 2018), MarketsandMarkets™ & CB Insights (Aug 2018) Google App Engine App-hosting in the cloud
  15. 15. Why does App Engine exist? ● Focus on app not DevOps ○ Web app ○ Mobile backend ○ Cloud service ● Enhance productivity ● Deploy globally ● Fully-managed ● Auto-scaling ● Pay-per-use ● Familiar languages Hello World (Python "MVP") app.yaml runtime: python37 main.py from flask import Flask app = Flask(__name__) @app.route('/') def hello(): return 'Hello World!' requirements.txt Flask==1.0.2 Deploy: $ gcloud app deploy Access globally: PROJECT_ID.appspot.com Quickstart tutorial and open source repo at cloud.google.com/appengine/docs/standard/python3/quickstart
  16. 16. Google Cloud Functions Function-hosting in the cloud Why does Cloud Functions exist? ● Don't have entire app? ○ No framework "overhead" (LAMP, MEAN...) ○ Deploy microservices ● Event-driven ○ Triggered via HTTP or background events ■ Pub/Sub, Cloud Storage, Firebase, etc. ○ Auto-scaling & highly-available; pay per use ● Flexible development environment ○ Cmd-line or developer console (in-browser) ● Cloud Functions for Firebase ○ Mobile app use-cases ● Available runtimes ○ JS/Node.js 6, 8, 10 ○ Python 3.7 ○ Go 1.11, 1.12 ○ Java 8
  17. 17. main.py def hello_world(request): return 'Hello World!' Deploy: $ gcloud functions deploy hello --runtime python37 --trigger-http Access globally (curl): curl -X POST https://GCP_REGION-PROJECT_ID.cloudfunctions.net/hello -H "Content-Type:application/json" Access globally (browser): GCP_REGION-PROJECT_ID.cloudfunctions.net/hello Hello World (Python "MVP") Quickstart tutorial and open source repo at cloud.google.com/functions/docs/quickstart-python Google Cloud Run Container-hosting in the cloud
  18. 18. Cloud Run: code, build, deploy .js .rb .go .sh.py ... ● Any language, library, binary ○ HTTP port, stateless ● Bundle into container ○ Build w/Docker OR ○ Google Cloud Build ○ Image ⇒ Container Registry ● Deploy to Cloud Run (managed or GKE) StateHTTP CONT_NAME-RANDOM_HASH- uREGION.a.run.app Hello World (Python "MVP") app.py import os from flask import Flask app = Flask(__name__) @app.route('/') def hello_world(): target = os.environ.get('TARGET', 'World') return 'Hello {}!'.format(target) if __name__ == '__main__': app.run(debug=True, host='0.0.0.0', port=int(os.environ.get('PORT', 8080))) cloud.google.com/run/docs/quickstarts/build-and-deploy or github.com/knative/docs/tree/master/docs/serving/samples/h ello-world/helloworld-python
  19. 19. Hello World (Python "MVP") Dockerfile FROM python:3-slim WORKDIR /app COPY . . RUN pip install -r requirements.txt CMD ["python", "main.py"] .dockerignore Dockerfile README.md *.pyc *.pyo *.pyd __pycache__ Build (think docker build): $ gcloud builds submit --tag gcr.io/PROJ_ID/CONT_NAME Deploy (think docker push): $ gcloud run deploy --image gcr.io/PROJ_ID/CONT_NAME --platform managed Deploy (think docker push): $ gcloud run deploy --image gcr.io/PROJ_ID/CONT_NAME --platform managed Access globally: CONT_NAME-RANDOM_HASH-uREGION.a.run.app Google Apps Script Customized serverless JS runtime for automation, and extension and integration with G Suite, Google, or other external services
  20. 20. “Hello World!” in Apps Script Sheets-bound “Hello World!” Apps Script intro goo.gl/1sXeuD
  21. 21. 4 All of Cloud (inspiration) Build with both GCP tools and G Suite Custom intelligence in Gmail Analyze G Suite data with GCP
  22. 22. Gmail message processing with GCP Gmail Cloud Pub/Sub Cloud Functions Cloud Vision G Suite GCP Star message Message notification Trigger function Extract images Categorize images
  23. 23. Inbox augmented with Cloud Function ● Gmail API: sets up notification forwarding to Cloud Pub/Sub ● developers.google.com/gmail/api/guides/push ● Pub/Sub: triggers logic hosted by Cloud Functions ● cloud.google.com/functions/docs/calling/pubsub ● Cloud Functions: "orchestrator" accessing GCP (and G Suite) APIs ● Combine all of the above to add custom intelligence to Gmail ● Deep dive code blog post ● cloud.google.com/blog/products/application-development/ adding-custom-intelligence-to-gmail-with-serverless-on-gcp ● Application source code ● github.com/GoogleCloudPlatform/cloud-functions-gmail-nodejs App summary
  24. 24. Big data analysis to slide presentation Access GCP tools from G Suite
  25. 25. Store big data results Visualize big data results
  26. 26. Ingest data from Sheets Link to chart in Sheets
  27. 27. Supercharge G Suite with GCP G Suite GCP BigQuery Apps Script Slides Sheets Application request Big data analytics
  28. 28. App summary ● Leverage GCP and build the "final mile" with G Suite ● Driven by Google Apps Script ● Google BigQuery for data analysis ● Google Sheets for visualization ● Google Slides for presentable results ● "Glued" together w/G Suite serverless ● Build this app (codelab): g.co/codelabs/bigquery-sheets-slides ● Video and blog post: bit.ly/2OcptaG ● Application source code: github.com/googlecodelabs/bigquery-sheets-slides ● Presented at Google Cloud NEXT (Jul 2018 [DEV229] & Apr 2019 [DEV212]) ● cloud.withgoogle.com/next18/sf/sessions/session/156878 ● cloud.withgoogle.com/next/sf/sessions?session=DEV212 Online resources & summary What's available for students & educators?5
  29. 29. Cloud computing session summary ● Why go cloud? ○ Cloud computing has taken the world by storm ○ You're behind if you're not already using it… it's not too late! ○ Help train the next generation cloud-ready workforce! ● Google Cloud and why serverless? ○ Many features: compute, storage, AI/ML, NW, data processing, etc. ○ Serverless lets users focus on just their logic (apps or functions) ○ Interesting possibilities using both platforms (GCP + G Suite) Other Google APIs & platforms ● Firebase (mobile development platform + RT DB; ML Kit) ○ firebase.google.com & firebase.google.com/docs/ml-kit ● Google Data Studio (data visualization, dashboards, etc.) ○ datastudio.google.com/overview ○ goo.gle/datastudio-course ● Actions on Google/Assistant/DialogFlow (voice apps) ○ developers.google.com/actions ● YouTube (Data, Analytics, and Livestreaming APIs) ○ developers.google.com/youtube ● Google Maps (Maps, Routes, and Places APIs) ○ developers.google.com/maps ● Flutter (native apps [Android, iOS, web] w/1 code base[!]) ○ flutter.dev
  30. 30. ● Documentation ○ GCP: cloud.google.com/{docs,appengine,functions,run,vision,automl,translate,language, speech,texttospeech,video-intelligence,firestore,bigquery,compute,storage,gpu,tpu} ○ G Suite: developers.google.com/{gsuite,drive,calendar,gmail,docs,sheets,slides,apps-script} ● Introductory "codelabs" ([free] self-paced, hands-on tutorials) ○ G Suite APIs: g.co/codelabs/gsuite-apis-intro (featuring Drive API) ○ Apps Script: g.co/codelabs/apps-script-intro ○ App Engine: codelabs.developers.google.com/codelabs/cloud-app-engine-python ○ Cloud Functions: codelabs.developers.google.com/codelabs/cloud-starting-cloudfunctions ○ Cloud Run: codelabs.developers.google.com/codelabs/cloud-run-hello-python3 ● Other codelabs: gcplab.me (GCP) and codelabs.developers.google.com/?cat=G+Suite (G Suite) ● Videos: youtube.com/GoogleCloudPlatform (GCP) and goo.gl/JpBQ40 (G Suite) ● Code samples: github.com/GoogleCloudPlatform (GCP) and github.com/gsuitedevs (G Suite) ● Free trial (new users) and Always Free (daily/monthly tier) - cloud.google.com/free ● Know AWS/Azure? Compare w/GCP at cloud.google.com/docs/compare/{aws,azure} Resources (industry) Thank you! Questions? Wesley Chun @wescpy

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