The market offers a range of solutions to run stateless applications. One of the many perks is the scalability of such code. Learn from this talk how to come from Functions (do one thing) to the broad world of Cloud Run (do *anything*). Prepare your containers, the demos are about to start!

1. Serverless and you
Where do I run my stateless code?
@gabidavila
gabi.dev
Gabi D'Ávila Ferrara
Developer Advocate - Google Cloud

2. Serverless Definitions
Serverless:
• Focus on code
• Don't worry about infrastructure
• Auto-scaling (+ scaling to 0)
• Pay what you use
Stateless:
• Doesn't store data
• Doesn't store application state
• No persistent storage
2@gabidavila

3. Let's talk about servers
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4. Is serverless the new
"Shared Hosting"?
🤔

5. "It works on my machine"
- Every technical practitioner ever
@gabidavila

6. The "good" old days
• Named servers:
• Zeus, Thor, Odin, you get the gist!
• Certificate/user management by a SysAdmin
• FTP or SCP:
• Try uploading Magento via FTP...
• SVN or CVS to deploy code (if even!)
• Almost zero automation
6@gabidavila

7. The "modern" approach
• Machines are a commodity
• CI/CD
• Automation: Chef, Terraform, Puppet...
• Easier to scale horizontally
• Don't forget the keywords of the moment:
• Containers, Kubernetes
7@gabidavila

8. Questions:
@gabidavila

9. Is Kubernetes serverless ?
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10. 10
NO.
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11. Should I use serverless
for Blockchain?
@gabidavila

12. 12
NO
@gabidavila
Morecontext

13. Serverless on Google Cloud Platform
13
Cloud RunCloud Functions App Engine
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14. Cloud Functions
14
• Single-purpose
• Mapped to Events or Triggers
• NodeJS - 10 / 8 / 6 (deprecated), Python, Go
• Use cases:
• Microservices
• IoT
• Data Processing / ETL
• Lightweight APIsCloud Functions
@gabidavila

15. Accepted platforms
15
Cloud Functions

16. 16
Cloud Functions

17. DEMO
fn.gabi.fyi?message=[status_id]

18. 18
Cloud Functions
def classify(request):
request_json = request.get_json()
if request.args and 'message' in request.args:
tweet = get_tweet(request.args.get('message'))
elif request_json and 'message' in request_json:
tweet = get_tweet(request_json['message'])
else:
return u'Please inform a message'
sentiment = get_sentiment(tweet['text'])
return flask.jsonify(
text = tweet['text'],
screen_name = tweet['screen_name'],
sentiment = sentiment['sentiment'],
score = sentiment['score'],
magnitude = sentiment['magnitude']
)

19. App Engine Standard
19
• Deploy an App
• Choose between 6 popular platforms
• Scale from 0 to "planet scale"
• Fully managed
App Engine
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20. Services and Versions
• Create services inside of the same App Engine project
• Create different versions (and serve them!) through different services
• Use cases:
• Do A/B testing
• Create dev, test, staging and prod environments!
20
App Engine Standard
@gabidavila

21. 21
App Engine Standard
Service - dev Service - prod
App Engine
Receives traffic
Version A
InactiveInactive
Version B
Inactive
Version A
Active
Version B
Active
Inactive
Version C
Active
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22. Runtimes
22
App Engine Standard
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23. DEMO
app.gabi.fyi/status/[status_id]

24. 24
App Engine Standard
class App < Sinatra::Base
before do
content_type 'application/json'
end
get '/status/:id' do
twitter_client = Tweets.new
language_client = GLanguage.new
tweet_status = twitter_client.status(params[:id])
response = language_client.sentiments(tweet_status[:full_text])
response[:version] = 'v1.1'
response.to_json
end
end

25. 25
Deploying a Ruby App
$ gcloud app create
$ gcloud app deploy
# app.yaml
runtime: ruby25
entrypoint: bundle exec rackup
service: default
App Engine Standard

26. 26
Deploy Multiple Services
$ gcloud app deploy app.yaml dev.yaml
# app.yaml
runtime: ruby25
entrypoint: bundle exec rackup
service: default
App Engine Standard
# dev.yaml
runtime: ruby25
entrypoint: bundle exec rackup
service: dev

27. Cloud Run (beta)
27
• Fully Managed or on Anthos
• Container based
• Revision based
• Scale to zero or up and the amount of requests:
• requests = concurrency /instance * max instances
• Up to 2Gi of memory/revision
• Cloud Run on Anthos limits by your GKE cluster
Cloud Run
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28. Runtimes
28
Cloud Run
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29. 29
Cloud Run
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30. DEMO
run.gabi.fyi/status/[status_id]

31. 31
Deploying a Ruby App
Cloud Run
# Dockerfile
FROM ruby:2.5.0-stretch
EXPOSE 8080
RUN bundle config --global frozen 1
WORKDIR /usr/src/app
COPY src/Gemfile* ./
RUN bundle install
COPY src/ .
CMD ["rackup"]

32. 32
Deploying a container
Cloud Run
$ gcloud builds submit --tag gcr.io/PROJECT_ID/APP_NAME
$ gcloud builds submit --tag gcr.io/automlgabi/sentiment-analyzer
Create your Cloud Run service:
$ gcloud beta run deploy --image
--tag gcr.io/automlgabi/sentiment-analyzer
--platform managed
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33. How to choose?
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34. 34
How to choose?

35. 35
How to choose? (cont.)

36. Compare
App Engine standard
environment
Cloud
Functions
Cloud
Run (beta)1
Cloud Run for Anthos
(beta)1
Deployment artifact App Function Container Container
Scale to zero Pods2
Free tier
Websockets
Languages
Java, Node.js, Python,
Go, PHP, Ruby, .NET
Node.js, Python, Go Any Any
HTTP/2 and gRPC
Custom domain
Request timeout 1 minute3 9 minutes 15 minutes 15 minutes
GPUs and TPUs 36

37. Concurrency Requests
• 1 request/instance:
• Cloud Functions
• Multiple requests/instance
• App Engine standard
• Cloud Run
• Cloud Run for Anthos
37@gabidavila

38. Mix and Match
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39. DEMO
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40. 40
Video Intelligence, GCS, Cloud Functions & App Engine
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41. 41@gabidavila

42. Thank you.
• Twitter: @gabidavila
• Website: gabi.dev
42