Google Cloud Platform Compute Solutions

This session explores different solution architectures for building cloud based services using the compute services available in Google Cloud Platform. We explore the pros and cons of a variety of different design patterns that developers can use to lower costs, increase availability and simplify scalability and highlight common pitfalls.

The session also provides a broad introduction to the services that make up Google Cloud Platform including App Engine, Compute Engine, Cloud Storage and BigQuery, along with details of how best to get started with the platform through Google's Cloud Platform Starter Pack.

Transcript

1. Sharif Salah
   Google Developer Expert 2014
   Google+ profile
   @sharif_salah
   about.me/sharif.salah
   Google Cloud Platform
   Compute Solutions
   

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2. Image courtesy of Google/Connie Zhou
   

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3. Agenda
   Cloud Platform overview
   Solution Architectures
   Resources
   Q&A
   

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4. Cloud Platform overview
   

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5. Compute
   Compute Engine App Engine
   

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6. Storage
   Cloud Datastore Cloud Storage Cloud SQL
   

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7. Services
   Cloud Endpoints BigQuery
   

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8. +New Services (Preview)
   Cloud DNS
   Cloud Dataflow
   Google Cloud Pub/Sub
   

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9. Memcache User service Mail Task queues Images
   Datastore Channel Your API Open source
   library
   3rd party
   services (e.g.
   Sendgrid)
   

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10. EAP
    Limited
    Preview
    Public
    Preview
    GA
    Release Schedule
    

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11. Cloud Console
    Cloud SDK
    REST APIs
    

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12. IaaS
    PaaS
    SaaS
    

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13. IaaS
    PaaS
    SaaS
    Gmail, Google Drive and
    Google Calendar
    App Engine
    Compute Engine
    Cloud Storage
    

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14. Solution Architectures
    

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15. PaaS IaaS
    

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16. PaaS IaaS
    Convenience
    Ease of use
    Abstraction
    Flexibility
    Configurability
    Innovation
    Your app
    

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17. New app OR migration?
    

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18. Compute Engine
    IaaS
    Compute, Storage &
    Network
    Sub-hour billing
    Hugely scalable
    Consistent performance
    

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19. App Engine
    PaaS
    Java, Python, PHP & Go
    Free quota
    Auto scaling
    Massively scalable
    

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20. App OR Compute?
    

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21. App OR Compute?
    Auto scaling
    Pre-defined technologies
    Monitored by Google
    Highly flexible
    Entire OS stack
    Developer managed
    

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22. Instance 1 Instance 2 Instance N
    Load balanced Web traffic with
    cache support
    Java, Python,
    Go & PHP
    App
    Engine FE
    ...
    App Engine
    

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23. Compute
    Engine
    Compute
    Engine
    Compute
    Engine
    Web traffic
    Full OS
    Linux, UNIX,
    Windows
    Load
    Balancer
    Compute
    Engine
    

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24. App & Compute
    

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25. App
    Engine
    Compute
    Engine
    Compute
    Engine
    Web traffic
    User facing
    Back end
    processing
    Cloud
    Storage
    Task
    Queue
    

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26. Best practise
    Use Memcache to improve performance and reduce costs in
    App Engine
    Check billing and quotas when troubleshooting
    As a general rule don’t use preview services for production
    Use Cloud Storage to share data between services
    Use the latest version of the Cloud SDK to simplify
    management
    

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27. Resources
    

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30. Google I/O 2014
    Making your cloud apps Google-fast
    Taming your cloud applications with intelligent monitoring
    DevOps at the speed of Google
    Predicting the future with the Google Cloud Platform
    Big data, the Cloud way: Accelerated and simplified
    Containerizing the Cloud with Docker on Google Cloud
    Platform
    

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31. Google I/O 2014
    https://io2014codelabs.appspot.com
    

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32. Google Cloud Platform would like to offer all participants of
    /dev/summer $500 of credit to build your web or mobile app!
    To get started, follow the three steps below:
    1. http://g.co/cloudstarterpack
    2. Click "apply now"
    3. Use the code: gde-in
    

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33. These slides:
    http://goo.gl/yo1Frd
    Thank you!
    Any questions?
    

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