The document discusses Google Cloud's infrastructure and services, highlighting features such as its global fiber network, data storage options, and machine learning APIs. It emphasizes user-friendly and cost-efficient offerings like serverless computing and the capability to build intelligent applications with tools such as Cloud Vision API and AutoML. Notable user testimonials from Spotify and Giphy illustrate the practical benefits and accuracy of the services in real-world applications.

1. HaaS
Hipster as a Service

2. Jonathan De Moor Stéphane Poppe Thibaut Vandenbussche
@jonathanDeMoor @stephane_poppe @tegenterter
In The Pocket Showpad Showpad

3. [DEV] [HIPSTER]

5. itp.mobi/haas

7. • Access the same infrastructure Google uses
• Private global fiber network
• Access to innovative resources
• Industry leading security
• Friendly pricing
Google Cloud Platform

8. Datacenters Worldwide

9. Global fiber network

10. • Vision API
• Video Intelligence
• Speech-to-Text
• Text-to-Speech
• Translation API

13. • Unified object storage
• Extremely price competitive
• Multiple storage classes
based on storage needs
• Data encrypted in transit
and at rest

14. Usage
• Storing and streaming multimedia
• Storage for custom data analytics pipelines
• Archive, backup, and disaster recovery

15. “Spotify uses Google Cloud Storage for storing and serving music.
Using Regional storage allowed us to run audio transcoding in
Google Compute Engine close to production storage. Google also
offers great networking with open and explicit peering setup, as
well as interconnect partnerships with all of our CDN providers.”
Jyrki Pulliainen, Software engineer, Spotify

17. • Event-driven
• Simplest way to run code in the cloud
• Written in JS and execute in Node.js
• Pay only while your code runs

18. What can you build?
• Serverless application backends
• Real-time data processing
• Intelligent applications

19. Face
Labels
Cloud functions
Cloud functionsPub/Sub
Save
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2
3 4

22. • NoSQL
• Fast, highly scalable and flexibility
• No provisioning, true NoOps
• Scale from 0 to terabytes of data
• Cost efficient

25. • REST API
• Feature detection
• OCR
• Pre-trained models (No ML skill required)
• Pay as you go model
Cloud Vision API
Image content analysis powered by machine learning

26. • Label detection
• Logo detection
• Landmark detection
• Optical character recognition
• Face detection
• Image attributes
• Web detection

27. 1
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3

29. “We implemented Google Cloud Vision to extract
caption data from our GIFs. The accuracy rate was so
impressive that we immediately implemented the
results into our search engine. Now, users can naturally
find GIFs based on popular movie lines, music lyrics
and catchphrases.”
Nick Hasty, Director of Engineering, GIPHY

30. Cloud AutoML
ALPHA

31. • Train custom machine learning models
• Simple interface
• Google Vision API integration
Cloud AutoML

32. iPhone XI

33. Cat 99%
Pink 96%
Face 96%
Bird 97%
Penguin 94%
Mammal 93%
Turtle 90%
Vertebrate 90%
Cartoon 88%
👎
👎
👎

34. 1.Upload your images
2.Human labeling
3.Train your model
4.Evaluate
5.Serve
How do we fix it?
Pokémon

35. Pokémon 98%
Jigglypuff 96%
Pokémon 98%
Snorlax 97%
Pokémon 99%
Squirtle 98%
👌
👌
👌

37. Recap
• Very easy to use
• More time for development, less DevOps
• Innovate faster
• The future is bright

38. Thank you
Any questions? 🤖