The document discusses visual analysis using Google Cloud Platform. It provides an overview of Google Cloud services including App Engine, Container Engine, Compute Engine, Datastore, Cloud SQL, and Spanner for building and deploying applications at scale. It also mentions Machine Learning services for tasks like natural language processing, image analysis, and translation. The presentation then demonstrates a photo sharing application built on these services and discusses ways to enhance it further using App Engine Flex, video processing, document parsing, BigQuery, and analytics. It concludes by inviting Python developers interested in visual analysis to discuss job opportunities.

1. Visual Analysis with
Google Cloud Platform
Wesley Workman

2. Hello 👋
• Wesley Workman
• Software Architect at Batterii
• Python w/ App Engine and GCP
• Javascript w/ Ember.js
• Will code for Beer and Burritos

3. History
App Engine Launched: April 2008

4. History
Google Cloud Platform Launched: October 2011

5. Learning
• Let’s build a photo app
• YAPA (Yet Another Photo App)
• Because there aren’t enough of those right?
• No live coding; live provisioning and deploying

6. Serving
• Code first
• High Scalability
• No servers, load
balancers, clusters,
or infrastructure to
manage
App Engine Container Engine
• Kubernetes
• Managed scalable
clusters, pods,
containers
• Running vendor
applications
Compute Engine
• VM / Hypervisor
• Low level hardware
access
• Networking and
Load balancing
• Full configuration

7. Serving
• Code first
• High Scalability
• No servers, load
balancers, clusters,
or infrastructure to
manage
App Engine Container Engine
• Kubernetes
• Managed scalable
clusters, pods,
containers
• Running vendor
applications
Compute Engine
• VM / Hypervisor
• Low level hardware
access
• Networking and
Load balancing
• Full configuration

8. Serving
App Engine Standard
• Process isolation
• Fast to spin up
• Cheap
• No low level access or
code from other
languages
App Engine Flex
• Container isolation
• Much more flexible
• C libraries
• External processes
• Slower startup
• $$$

9. Database
• NoSQL document
store
• Automatic sharding
and replication
• ACID Transactions
• Cheap / Easy
• No Joins
• noSQL mindset
Datastore Cloud SQL
• Managed MySQL or
PostgreSQL
• Managed scalability
• Replicas
• SQL es bueno
• $$
Spanner
• NoSQL wide-column
store
• Low latency
• Strong consistency
• Horizontal Scaling
• $$$
• noSQL mindset

10. Database
• NoSQL document
store
• Automatic sharding
and replication
• ACID Transactions
• Cheap / Easy
• No Joins
• noSQL mindset
Datastore Cloud SQL
• Managed MySQL or
PostgreSQL
• Managed scalability
• Replicas
• SQL es bueno
• $$
Spanner
• NoSQL wide-column
store
• Low latency
• Strong consistency
• Horizontal Scaling
• $$$
• noSQL mindset

11. Machine Learning
Natural LanguageSpeech Analysis
Image Analysis Video Intelligence
Translation Machine Learning

12. Machine Learning
Natural LanguageSpeech Analysis
Image Analysis Video Intelligence
Translation Machine Learning

13. Yapa Architecture
Familiarity with Cloud Architecture?
(Head Nods)

15. Enough Slides
Let’s get building

16. Awesome demo!
How could we make it better?
• App Engine Flex
• Video Thumbnail
• ffmpeg - Split audio tracks from video
• libre office - document parsing
• BigQuery
• Analytics and Aggregations

17. Python Devs?
Batterii is hiring a backend engineer
Come talk to me
Show of hands

18. Questions?

19. Thanks!