MongoDB World 2016: Lunch & Learn: Google Cloud for the Enterprise
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The document summarizes the evolution of cloud computing and Google Cloud Platform's offerings. It discusses how cloud infrastructure has moved from colocated data centers (1st wave) to virtualized infrastructure (2nd wave) to automated services and scalable data (3rd wave). It then provides an overview of Google Cloud Platform's compute, storage, database, analytics and machine learning services and how they make complex data analysis simpler. The document positions Google Cloud Platform as building on Google's expertise in infrastructure and data to provide customers an advantage.
MongoDB World 2016: Lunch & Learn: Google Cloud for the Enterprise
- 1. Building what’s next 1 Lunch and Learn Jay Marshall Enterprise Cloud Acceleration
- 3. Google Cloud Platform 3 1st Wave Colocation Virtualized Data Centers 2nd Wave An Evolving Cloud Your kit, someone else’s building. Yours to manage. Standard virtual kit, for rent. Still yours to manage. Google Cloud Platform 3 ?
- 4. Google Cloud Platform 4 Colocation Virtualized Data Centers Automated Services Scalable Data 3rd Wave Invest your energy building great apps An Evolving Cloud Your kit, someone else’s building. Yours to manage. Standard virtual kit, for rent. Still yours to manage. Google Cloud Platform 4 1st Wave 2nd Wave
- 5. Google Cloud Platform 5 Colocation Virtualized Data Centers Automated Services Scalable Data 3rd Wave An Evolving Cloud Your kit, someone else’s building. Yours to manage. Google Cloud Platform 5 1st Wave 2nd Wave Invest your energy building great apps Standard virtual kit, for rent. Still yours to manage.
- 7. Google Cloud Platform 7 An Evolving Cloud for the Enterprise Google Cloud Platform 7 Build on Google’s cloud w/ security, compliance, and hybrid focus Platform (differentiation) Innovation (future technology) Unparalleled “What’s Next” technology around Machine Learning and NoOps Partnership (strategic co-pilot) Deep relationship with Google to guide you on your expedition
- 8. Build on Google’s cloud w/ security, compliance, and hybrid focus Platform (differentiation) Google Cloud Platform 8
- 9. 9 Innovation (future technology) Unparalleled “What’s Next” technology around Machine Learning and NoOps Google Cloud Platform
- 10. Partner (strategic co-pilot) Deep relationship with Google to guide you on your expedition
- 11. For the past 15 years, Google has been building out the fastest, most powerful, highest quality cloud infrastructure on the planet.
- 12. Android Keyboard & speech input Scale & Machine Intelligence at Google Search Search ranking Speech recognition Gmail Smart reply Spam classification Photos Photos search Translate Text, graphic and speech translation Drive Intelligence in Apps YouTube Video recommendations Better thumbnails Cardboard Smart stitching Play App recommendations Game developer experience Chrome Search by image Maps Street view image Parsing local search Adds Richer text ads Automated bidding
- 13. Google backbone We lay our own cables across the ocean
- 14. Building what’s next 14Building what’s next 14 100+ edge locations 33 countries The broadest reaching network of any Cloud Provider Google-Grade Networking
- 15. Confidential & ProprietaryGoogle Cloud Platform 15 Foundation Infrastructure & Operations Data Services Application Runtime Services Insight Data Enabling No-Touch Operations Breakthrough Insights, Breakthrough Applications The Gear that Powers Google
- 16. Google Cloud Platform 16 What Makes Google Cloud Platform Different, Philosophically
- 17. Google Cloud Platform 17Google Cloud Platform 17 Open APIs and Open Source Customers should use us because they love us, not because they are unable to move off
- 18. Google Cloud Platform 18Google Cloud Platform 18 Open APIs and Open Source Customers should use us because they love us, not because they are unable to move off
- 19. Confidential & ProprietaryGoogle Cloud Platform 19 Google confidential | Do not distribute Security from the ground up
- 20. Confidential & ProprietaryGoogle Cloud Platform 20 Data Protection Customer key Google application level (obfuscation) Sharding Hardware encryption Disk shredding Customer Application Physical Network ProtectionIncoming Traffic Outgoing Traffic VM Firewall Encapsulation and obfuscation Google proprietary protocol Elliptically encrypted link Layers of Protection
- 21. 500+ top security experts on staff First to start reward program for reporting vulnerabilities Remote locations with restricted access Guards, cameras, analytics to detect intruders “Mission: Impossible” tech: thermal imaging, laser detection, biometric scans Top 5 server manufacturer We build everything: hardware, custom software stack Full-stack ownership greatly reduces attack surface Live Migration keeps you running while we patch People Physical Full StackGoogle-Grade Security Confidential & ProprietaryGoogle Cloud Platform 21 https://cloud.google.com/security/compliance
- 22. Google-Grade Security Confidential & ProprietaryGoogle Cloud Platform 22 Joe Kava VP, Global Infrastructure Niels Provos Google Distinguished Engineer
- 23. Building what’s next 23 Complete Range of Compute
- 24. Building what’s next 24Building what’s next 24 A better Compute Engine Complete Flexibility. Our fastest growing compute platform. GCE Preemptible VMs: 30% the cost of regular VMs. Custom VMs allow you to select exact vCPU and memory requirements Up to 680,000 IOPS Data Services Foundation - Infrastructure & Operations Application Runtime Services Google Cloud Platform 24
- 25. Building what’s next 25 A bigger Container Engine Containers are powering a revolution For Developers: Easy dev-test environments Easy to compose micro-services Update your cluster with one command For Ops/IT: Kubernetes is managed for you Deploying becomes file-copy Highly portable Data Services Foundation - Infrastructure & Operations Application Runtime Services Google Cloud Platform 25
- 26. Building what’s next 26 Containers at Google We launch over 2 Billion containers per week. Google Cloud Platform 26
- 27. Building what’s next 27Building what’s next 27 A more flexible App Engine Code. Not infrastructure. Develop in your favorite language. Deploy with a click. Find common vulnerabilities with Security Scanner. Google Cloud Platform 27 Data Services Foundation - Infrastructure & Operations Application Runtime Services
- 28. The Google Cloud Pricing Advantage
- 29. Confidential & ProprietaryGoogle Cloud Platform 29 Archival Storage Tape Cloud $0.01/GB Hours to access $0.01/GB Still hours to access Nearline $0.01/GB Seconds to access Redefined
- 30. Building what’s next 30Building what’s next 30 Data is exploding. And smart companies are taking advantage. Google Cloud Platform 30
- 31. Confidential + Proprietary 31 BigTableGFS MapReduce BigQuery Dremel Colossus Dataflow Spanner F1 Mesa Millwheel Google and “Big Data” 2002 2004 2006 2008 2010 2012 2014
- 32. Building what’s next 32 Time to Understanding Typical Big Data Processing Programming Resource provisioning Performance tuning Monitoring Reliability Deployment & configuration Handling growing scale Utilization improvements
- 33. Building what’s next 33 Time to Understanding Big Data with Google: Focus on insight, not infrastructure. Programming
- 34. Building what’s next 34 Create clusters of any size < 90 seconds Manage Spark/Hadoop jobs easily Only 1/c per vCPU & billed by the minute Integrated into Google Cloud Platform Google Cloud Dataproc Fast, easy, and powerful Spark/Hadoop is only seconds away Data Services Foundation - Infrastructure & Operations Application Runtime Services Google Cloud Platform 34
- 35. Building what’s next 35 Scales automatically No setup or administration Stream up to 100,000 rows p/sec Easily integrates with third-party software Google BigQuery makes complex data analysis simple Data Services Foundation - Infrastructure & Operations Application Runtime Services Google Cloud Platform 35
- 36. Building what’s next 36 Merges batch and stream processing Data processing pipelines Monitoring interface Significantly lower cost Google Cloud Dataflow makes complex data analysis simple Data Services Foundation - Infrastructure & Operations Application Runtime Services Google Cloud Platform 36
- 37. Building what’s next 37 Move to the cloud a no-brainer for us. Google, in our experience, has an edge here, but it’s a competitive space and we expect the big players to be battling it out for the foreseeable future. What really tipped the scales towards Google for us, has been our experience with Google’s data platform and tools. Good infrastructure isn’t just about keeping things up and running, it’s about making all of our teams more efficient and more effective, and Google’s data stack does that for us in spades. Google has long been a thought-leader in this space, and this shows in the sophistication and quality of its data offerings. From traditional batch processing with Dataproc, to rock-solid event delivery with Pub/Sub to the nearly magical abilities of BigQuery, building on Google’s data infrastructure provides us with a significant advantage where it matters the most. Nicholas Harteau VP, Engineering & Infrastructure, Spotify, 2016 ” “
- 38. Building what’s next 38 If the cloud market is still in a period of rapid expansion, and Google is one of a few companies able to compete at scale, and GCP is built on a substrate of superior technology, then our conclusion is that it will gain market-share and mind- share. We'll see small companies that start out on GCP grow into larger customers, and we'll see large customers switch onto it. If you're involved in one of those decision points, it's in your interest to evaluate the options for yourself., building on Google’s data infrastructure provides us with a significant advantage where it matters the most. Everyone involved unanimously picked GCP. It came down to this: we believe the core technology is better. Peter Bakkum Engineering & Infrastructure, Quizlet, 2016 ” “
- 39. Building what’s next 39 Confidential & ProprietaryGoogle Cloud Platform 39
- 40. Building what’s next 40 Source: google.com/green A better cloud that's better for the environment. Google data centers use half the energy of typical data centers. Green is Good
- 41. Green is Good Google uses 35% renewable energy. Source: google.com/green
- 42. Building what’s next 42Building what’s next 42 Source: google.com/green A better cloud that's better for the environment. Green is Good
- 43. Building what’s next 43 Opening Video
- 44. Building what’s next 44Building what’s next 44 It’s an amazing time to be a developer.
- 45. Building what’s next 45Building what’s next 45 It’s an amazing time to be a technologist.
- 46. Confidential & Proprietary Call to action? Running MongoDB on GCP - Sandeep Parikh Wednesday, 3:10 pm - 3:50 pm Nassau Room Learn more about GCP services - Codelabs Main exhibit hall
- 47. Google Cloud Platform 47 Thank You Google Cloud Platform 47