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Serverless computing with Google Cloud (2023-24)

This is a half-hour technical talk on serverless computing with Google Cloud (Platform). It starts with a review of all of cloud computing then dives into serverless computing, demonstrates multiple products, and shows inspirational examples of apps built using these technologies.

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Serverless computing
with Google Cloud:
Run apps in the cloud "without" VMs
Santa Clara/San Jose :: Fall 2023
Wesley Chun
Principal, CyberWeb
@wescpy@
Principal Consultant, CyberWeb
● Mission: produce accelerated Python
developers, enable developers to be
successful using Google Cloud and
other Google developer tools & APIs
● Focus: Python, Google Cloud (GCP) &
Google Workspace (GWS) APIs; GAE
migrations; Google X-product sol'ns
● Services: technical consulting,
training, engineering, speaking, code
samples, hands-on tutorials, public
technical content (blogs, social, etc.)
About the speaker
Previous experience / background
● Software Engineer & Developer Advocate
○ Google, Sun, HP, Cisco, EMC, Xilinx &
○ Original Yahoo!Mail engineer/SWE
● Technical trainer, teacher, instructor
○ Teaching Math, Linux, Python since '83
○ Adjunct CS Faculty at local SV colleges
● Python community member
○ Popular Core Python series author
○ Python Software Foundation Fellow
● AB (Math/CS) & CMP (Music/Piano), UC
Berkeley and MSCS, UC Santa Barbara
● Adjunct Computer Science Faculty, Foothill
College (Silicon Valley)
GWS Dev Show
goo.gl/JpBQ40
GAE migration
bit.ly/3xk2Swi
Serverless: why & agenda
1
Cloud computing
review
2
Introduction to
Google Cloud
3
Serverless
platforms
4
Inspiration
5
Summary
● Cloud computing has taken industry by storm (all?)
● App modernization top priority at many enterprises
○ Containerizing apps, getting them on VMs, moving to the cloud
● We can give you lots of VMs & big disk, but why serverless?
○ Serverless lets you focus on your solutions not what they run on
● Help prep next-generation (cloud-ready) workforce
01
Cloud computing review
All you need to know about the cloud
What is cloud computing?
spar
Google Compute Engine, 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, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Apps Script
Salesforce1/force.com
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of apps (SaaS)
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Apps Script
Salesforce1/force.com
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of hardware (IaaS)
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Apps Script
Salesforce1/force.com
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
Outsourcing of logic-hosting (PaaS)
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Apps Script
Salesforce1/force.com
Google Workspace (was 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, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
IaaS/PaaS gray area (DataB/S/P-aaS?)
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google Apps Script
Salesforce1/force.com
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Compute Engine, Cloud Storage
AWS EC2 & S3; Rackspace; Joyent
SaaS/PaaS gray area
SaaS
Software as a Service
PaaS
Platform as a Service
IaaS
Infrastructure as a Service
Google BigQuery, Cloud SQL, Vertex AI,
Cloud Datastore, NL, Vision, Pub/Sub
AWS Kinesis, RDS; Windows Azure SQL, Docker
Google Workspace (was G Suite/Google Apps)
Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365
Google App Engine, Cloud Functions
Heroku, Cloud Foundry, Engine Yard, AWS Lambda
Google Apps Script
Salesforce1/force.com
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

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Serverless computing with Google Cloud (2023-24)

  • 1. Serverless computing with Google Cloud: Run apps in the cloud "without" VMs Santa Clara/San Jose :: Fall 2023 Wesley Chun Principal, CyberWeb @wescpy@ Principal Consultant, CyberWeb ● Mission: produce accelerated Python developers, enable developers to be successful using Google Cloud and other Google developer tools & APIs ● Focus: Python, Google Cloud (GCP) & Google Workspace (GWS) APIs; GAE migrations; Google X-product sol'ns ● Services: technical consulting, training, engineering, speaking, code samples, hands-on tutorials, public technical content (blogs, social, etc.) About the speaker Previous experience / background ● Software Engineer & Developer Advocate ○ Google, Sun, HP, Cisco, EMC, Xilinx & ○ Original Yahoo!Mail engineer/SWE ● Technical trainer, teacher, instructor ○ Teaching Math, Linux, Python since '83 ○ Adjunct CS Faculty at local SV colleges ● Python community member ○ Popular Core Python series author ○ Python Software Foundation Fellow ● AB (Math/CS) & CMP (Music/Piano), UC Berkeley and MSCS, UC Santa Barbara ● Adjunct Computer Science Faculty, Foothill College (Silicon Valley) GWS Dev Show goo.gl/JpBQ40 GAE migration bit.ly/3xk2Swi
  • 2. Serverless: why & agenda 1 Cloud computing review 2 Introduction to Google Cloud 3 Serverless platforms 4 Inspiration 5 Summary ● Cloud computing has taken industry by storm (all?) ● App modernization top priority at many enterprises ○ Containerizing apps, getting them on VMs, moving to the cloud ● We can give you lots of VMs & big disk, but why serverless? ○ Serverless lets you focus on your solutions not what they run on ● Help prep next-generation (cloud-ready) workforce 01 Cloud computing review All you need to know about the cloud
  • 3. What is cloud computing? spar Google Compute Engine, 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, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda
  • 4. Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent Outsourcing of apps (SaaS) SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent Outsourcing of hardware (IaaS) SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda
  • 5. Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent Outsourcing of logic-hosting (PaaS) SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Apps Script Salesforce1/force.com Google Workspace (was 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, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent IaaS/PaaS gray area (DataB/S/P-aaS?) SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google Apps Script Salesforce1/force.com Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda
  • 6. Google Compute Engine, Cloud Storage AWS EC2 & S3; Rackspace; Joyent SaaS/PaaS gray area SaaS Software as a Service PaaS Platform as a Service IaaS Infrastructure as a Service Google BigQuery, Cloud SQL, Vertex AI, Cloud Datastore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Workspace (was G Suite/Google Apps) Yahoo!Mail, Hotmail, Salesforce, Netsuite, Office 365 Google App Engine, Cloud Functions Heroku, Cloud Foundry, Engine Yard, AWS Lambda Google Apps Script Salesforce1/force.com 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
  • 7. 02 All you need to know about cloud Google Cloud (GCP) and Google Workspace (GWS) formerly ( )
  • 8. ● GWS developer home: developers.google.com/gsuite ● GWS developer intro: youtu.be/NqumcYgj5LI ● GWS REST APIs: youtu.be/2VpvWhDdXsI ● GWS Apps Script: youtu.be/xDovB0pu4OU ● Comprehensive overview: youtu.be/kkp0aNGlynw Google Workspace (formerly G Suite and Google Apps) (GWS) APIs Google Compute Engine, 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 Google Workspace (was 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, Vertex AI, Cloud Firestore, NL, Vision, Pub/Sub AWS Kinesis, RDS; Windows Azure SQL, Docker Google Cloud Platform vs. Google Workspace GWS APIs GCP APIs
  • 9. cloud.google.com/hosting-options#hosting-options Google Cloud compute option spectrum Compute Engine Kubernetes Engine (GKE) Cloud Run on Anthos Cloud Run (fully-mgd) App Engine (Flexible) App Engine (Standard) Cloud Functions 03 Run your code on Google serverless GCP: Google App Engine, Cloud Functions, Cloud Run and GWS: Google Apps Script
  • 10. > Google Compute Engine configurable VMs of all shapes & sizes, from "micro" to 416 vCPUs, 11.776 TB RAM, 256 TB HDD/SSD plus Google Cloud Storage for data lake "blobs" (Debian, CentOS, CoreOS, SUSE, Red Hat Enterprise Linux, Ubuntu, FreeBSD; Windows Server 2008 R2, 2012 R2, 2016, 1803, 1809, 1903/2019, 1909) cloud.google.com/compute cloud.google.com/storage Yeah, we got VMs & big disk… but why*? Serverless: what & why ● What is serverless? ○ Misnomer (a "PMM") :-) ○ "No worries" ○ Developers focus on writing code & solving business problems* ○ Servers (physical & virtual) completely abstracted away from the user* ● Why serverless? ○ Fastest growing segment of cloud... per analyst research: ■ $1.9B (2016) and $4.25B (2018) ⇒ $7.7B (2021), $14.93B (2023), and $21.1B (2025)^ ■ $4.18B (2018) and $6.05B (2020) ⇒ $31.53B (2026) and $53.08B (2028)† ○ What if you go viral? Autoscaling: your new best friend ○ What if you don't? Code not running? You're not paying. * Forbes (May 2018) ^ (in USD) CB Insights (Sep 2018), MarketsandMarkets™ (Jan 2019) † (in USD) Reports and Data (Jul 2019 , Jan 2020, and Oct 2021)
  • 11. 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 Workspace (was 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 Serverless: PaaS-y compute/processing Google Apps Script Salesforce1/force.com Google App Engine App-hosting in the cloud ("Serverless 1.0") cloud.google.com/appengine
  • 12. Why does App Engine exist? ● Focus on code not DevOps ○ Web app or mobile backend ● Enhance productivity ● Deploy globally ● Fully-managed ● Auto-scaling ● Pay-per-use ● Familiar languages ● Test w/local dev server ● "Bundled" services like DB, caching, tasks, storage, etc. Hello World (Python "MVP") app.yaml runtime: python39 main.py from flask import Flask app = Flask(__name__) @app.route('/') def hello(): return 'Hello World!' requirements.txt flask Deploy: $ gcloud app deploy Access globally: PROJECT_ID.appspot.com cloud.google.com/appengine/docs/standard/python3/quickstart
  • 13. Popular App Engine Use Cases ● Mobile/Tablet ○ App backends ○ Cloud persistence ● Social/Mobile Games ○ Speed, scale ○ API integrations ○ Personals/dating ● Consumer Web Apps ○ Unpredictable traffic ○ Scale (up or down) ● Apps in Academia ○ Any course where students build web or mobile apps ○ Research projects ○ IT/Operational apps ● Business Apps ○ Enterprise ○ Java runtime ○ IT/Operational apps ○ Web or Mobile Google Cloud Functions Function-hosting in the cloud ("Serverless 2.0") cloud.google.com/functions
  • 14. Why does Cloud Functions exist? ● Don't have entire app? ○ No framework "overhead" (LAMP, MEAN...) ○ Deploy short utilities (alerts, ETL...), monoliths → loosely-coupled microservices, event-driven tasks ● 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) ○ Develop/test locally with Functions Framework ● Cloud Functions for Firebase ○ Mobile app use-cases One user's experience
  • 15. main.py def hello_world(request): return 'Hello World!' Deploy: $ gcloud functions deploy hello --runtime python39 --trigger-http Access globally (curl): $ curl REGION-PROJECT_ID.cloudfunctions.net/hello Access globally (browser): https://REGION-PROJECT_ID.cloudfunctions.net/hello Hello World (Python "MVP") cloud.google.com/functions/docs/quickstart-python Google Cloud Run Container-hosting in the cloud ("Serverless 2.0") cloud.run
  • 16. The rise of containers... ● Any language ● Any library ● Any binary ● Ecosystem of base images ● Industry standard FLEXIBILITY “We can’t be locked in.” “How can we use existing binaries?” “Why do I have to choose between containers and serverless?” “Can you support language _______ ?” Serverless inaccessible for some... CONVENIENCE
  • 17. Cloud Run: code, build, deploy .js .rb .go .sh .py ... ● Any language, library, binary ○ HTTP port, stateless ● Bundle into container ○ Build with Docker OR Cloud Build ○ Image ⇒ Container/Artifact Registry ● Deploy to Cloud Run (managed or GKE) ● GitOps: CD push-to-deploy from Git ○ See documentation & announcement ○ CI/CD with GitHub Actions tutorial ● Cloud Buildpacks: Docker, Dockerfiles, and knowledge of containers optional State HTTP Hello World (Python "MVP") main.py import os from flask import Flask app = Flask(__name__) @app.route('/') def hello_world(): return 'Hello World!' 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 requirements.txt flask
  • 18. 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 .git/ __pycache__ Build (think docker build and docker push) then deploy (think docker run): $ gcloud builds submit --tag gcr.io/PROJ_ID/IMG_NAME $ gcloud run deploy SVC_NAME --image gcr.io/PROJ_ID/IMG_NAME OR… Build and Deploy (1-line combination of above commands): $ gcloud run deploy SVC_NAME --source . Access globally: SVC_NAME-HASH-REG_ABBR.a.run.app Docker & Dockerfile OPTIONAL!! ● Build containers easily & securely without creating/managing Dockerfiles ● Open source, open standard; based on CNCF Buildpacks spec v3 ● Used by GCF Functions Framework to deploy locally-developed functions ● Supports most common development tools ○ Go 1.10+ ○ Node.js 10+ ○ Python 3.7+ ○ Java 8 & 11 ○ .NET Core 3.1+ ● Blog posts ○ See cloud.google.com/blog/products/containers-kubernetes/google-cloud-now-supports-buildpacks and cloud.google.com/blog/products/serverless/build-and-deploy-an-app-to-cloud-run-with-a-single-command Deploy to Cloud Run with Buildpacks github.com/GoogleCloudPlatform/buildpacks $ ls index.js package.json $ gcloud run deploy myapp --source . $ ls main.py requirements.txt $ gcloud run deploy myapp --source . Node.js, Go, Python, etc.? It's the same command!
  • 19. Use case category "Serverless 1.0" "Serverless 2.0" App Engine (Standard) Cloud Run Cloud Functions Web service logic-hosting Web app hosting ✓ ✓ HTTP services ✓ ✓ ✓ Container hosting ✓ "Backoffice" (Apps and APIs) Web & mobile backends ✓ ✓ Internal/intranet apps ✓ ✓ Automation Large-scale data processing ✓ ✓ Workflow & orchestration ✓ ✓ Event-driven automation ✓ ✓ GitOps: Git push-to-deploy (CD) ✓ Common use cases Serverless best practices ● Use the right tool for the job (GAE, GCF, or GCR) ● One top priority: latency ○ SOA demands fast response from components ● Second top priority: architecture ○ Breakup larger computing into components ○ Microservices, each with low latency ○ Uncouple components keeping state
  • 20. Flexibility in options Cloud Functions App Engine Cloud Run local server Cloud Translation My "Google Translate" MVP goo.gle/2Y0ph5q ● "Nebulous" sample web app ○ Flask/Python 2 or 3 ○ Express/Node.js 10+ ○ Uses Cloud Translation API ● Deployable to on-prem server ● Also GCP serverless compute ○ App Engine ○ Cloud Functions ○ Cloud Run ● With only config changes ● No changes to app code Google Apps Script Customized serverless JS runtime for automation, and extension and integration with Google Workspace (formerly G Suite) and other Google & external services
  • 21. “Hello World!” in Apps Script Sheets-bound “Hello World!” Apps Script intro goo.gl/1sXeuD
  • 22. What can you do with this? Accessing maps from spreadsheets?!? goo.gl/oAzBN9 This… with help from Google Maps & Gmail function sendMap() { var sheet = SpreadsheetApp.getActiveSheet(); var address = sheet.getRange("A2").getValue(); var map = Maps.newStaticMap().addMarker(address); GmailApp.sendEmail('friend@example.com', 'Map', 'See below.', {attachments:[map]}); } JS g.co/codelabs/apps-script-intro
  • 23. 04 Inspiration Use multiple Google APIs to create unique solutions
  • 24. Custom intelligence in Gmail Analyze Google Workspace (formerly G Suite) data with GCP
  • 25. Gmail message processing with GCP Gmail Cloud Pub/Sub Cloud Functions Cloud Vision Workspace (formerly G Suite) GCP Star message Message notification Trigger function Extract images Categorize images Inbox augmented with Cloud Function
  • 26. ● 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 Google Workspace/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 Big data analysis to slide presentation Access GCP tools from Google Workspace (formerly G Suite)
  • 27. Store big data results
  • 28. Visualize big data results Ingest data from Sheets
  • 29. Link to chart in Sheets
  • 30. Supercharge Workspace (G Suite) with GCP Workspace (G Suite) GCP BigQuery Apps Script Slides Sheets Application request Big data analytics App summary ● Leverage GCP and build the "final mile" with Google Workspace (formerly G Suite) ● Driven by Google Apps Script ● Google BigQuery for data analysis ● Google Sheets for visualization ● Google Slides for presentable results ● "Glued" together w/Google Workspace (formerly 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
  • 31. 05 Wrap-up Summary & resources Cost of Google Cloud serverless tools ● What is free in Google Cloud overall? ○ Free Trial (credit card required; expires) ■ $300USD credit good for first 90 days ○ Always Free tier (credit card required; no expiration; subject to change) ■ Independent of Free Trial & education grants (more below) ■ Some GCP products free up to usage limits ○ Learn about both programs at cloud.google.com/free ● Serverless Always Free tier (daily or monthly quotas) ○ App Engine (28 [or 9] hours, 1GB storage & 1GB egress) per day ○ Cloud Run (2M reqs, 360k GB-secs, 180k vCPU-secs, 1GB egress) per month ○ Cloud Functions (2M calls, 400k GB-secs, 200k vCPU-secs, 5GB egress) per month ● Higher education (teaching & research) grants ○ cloud.google.com/edu (credit card NOT required; expires) ○ Provides "free" usage for coursework and initial research $$ FREE $$
  • 32. Summary: Google serverless computing ● 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. ○ Modernization more than moving VMs to the cloud ○ Serverless lets users focus on just their logic (apps or functions) ○ Interesting possibilities when using >1 Google product families/APIs Other Google APIs & platforms ● Google Workspace (G Suite) (code Gmail, Drive, Docs, Sheets, Slides!) ○ developers.google.com/gsuite ● Firebase (mobile development platform and RT DB plus ML-Kit) ○ firebase.google.com and 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
  • 33. Bring me to your organization ... it is my job to help you! ● "Transfer of Info" tech talks ● Half- or full-day seminars ● Hands-on "codelab" workshops ● Multi-day training courses ● Engineering consulting ● Migration strategy & planning ● cyberwebconsulting.com ● appenginemigration.com Slides you're looking at them now Work cyberwebconsulting.com Books corepython.com Blog dev.to/wescpy Pick a platform youtu.be/gle26fT28Bw Nebulous serverless goo.gle/2Y0ph5q youtu.be/eTotLOVR7MQ Designing SL apps youtu.be/ertbL2Rxbvk Progress bars goo.gl/69EJVw Thank you! Questions? Wesley Chun Principal Consultant, CyberWeb Python, GCP & GWS specialist @wescpy (Tw/X, SO, GH, IG, LI)