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Building what's next with google cloud's powerful infrastructure

Building What's Next with Google Cloud's Powerful Infrastructure. Companies are facing increasing challenges Be more data driven, but on-prem data is hard to access, analyze, and use Have to focus to stay ahead of competition, can’t afford wasted efforts Attract and retain customers and employees with great experiences Security threats keep growing Be more agile - turn IT into competitive advantage Google is focused on helping companies meet those challenges. To know more feel free to explore these slides and write back to us.

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Building What's Next with Google
Cloud's Powerful Infrastructure
Welcome Note
Build what’s next on Google Cloud
Why should you choose Google Cloud Platform
Storage, Archiving and Analytics on Google Cloud
Agenda
Data Security on Google Cloud Platform
Customer Success Stories
Introduction to Google Cloud
Companies are facing increasing challenges
Be more data driven, but
on-prem data is hard to
access, analyze, and use
Security threats keep
growing
Have to focus to stay
ahead of competition, can’t
afford wasted efforts
Be more agile - turn IT into
competitive advantage
Attract and retain
customers and employees
with great experiences
Google is focused on helping
companies meet those
challenges
For the past 16 years,
Google has been building the world’s fastest,
most powerful cloud infrastructure
on the planet.

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Building what's next with google cloud's powerful infrastructure

  • 1. Building What's Next with Google Cloud's Powerful Infrastructure
  • 2. Welcome Note Build what’s next on Google Cloud Why should you choose Google Cloud Platform Storage, Archiving and Analytics on Google Cloud Agenda Data Security on Google Cloud Platform Customer Success Stories
  • 4. Companies are facing increasing challenges Be more data driven, but on-prem data is hard to access, analyze, and use Security threats keep growing Have to focus to stay ahead of competition, can’t afford wasted efforts Be more agile - turn IT into competitive advantage Attract and retain customers and employees with great experiences
  • 5. Google is focused on helping companies meet those challenges
  • 6. For the past 16 years, Google has been building the world’s fastest, most powerful cloud infrastructure on the planet.
  • 8. View the entire list at cloud.google.com/launcher Google Cloud Platform Management Compute Storage Networking Data Machine Learning Launcher Support Machine Learning Engine SPEECH API VISION API TRANSLATE API Stackdriver Identity & Access Management Compute Engine Preemptible VMs Custom Machine Types App Engine Container Engine Cloud Storage Nearline Cloud SQL Cloud Datastore Cloud Bigtable Virtual Private Cloud Load Balancing CDN Interconnect DNS BigQuery Dataflow Dataproc Datalab Pub/Sub
  • 10. Scale - Effortless Scaling Spend - Cost effective Speed - Go To Market Security - Most Secure Cloud 4S - Rule
  • 11. Speed
  • 14. Tools for App Modernization VM Migration Container Engine Fully managed Kubernetes container orchestration Integrated platform for building great mobile apps on iOS and Android Convert on-prem VMs to Compute Engine Enterprise API management & migration App Engine Web-scale PaaS lets Devs just code, now serving 100B requests/day
  • 15. Traditional Big Data Too much time taken up by care and feeding of the machinery. Not enough time spent gaining insights. Programming Resource provisioning Performance tuning Monitoring Deployment & configuration Handling growing scale Utilization improvements Reliability
  • 16. Big Data with Google Focus on insights. Not infrastructure. From batch to streaming. Programming Insights
  • 17. Scale
  • 18. Current regions and number of zones Planned regions for 2017 and number of zones # # 3 3 Singapore2 S Carolina N Virginia Belgium London Tokyo Taiwan Mumbai Sydney Oregon Iowa Frankfurt São Paulo Finland 3 3 3 3 3 3 2 4 3 3 3 Compute Regions https://cloud.google.com/about/locations
  • 20. Global Network World’s Largest Software Defined Network Edge locations in virtually every country More than 100 peering locations Global Content Delivery Network Global Load Balancing with Single IP Seamless autoscale to over 1M QPS with no pre-warming
  • 21. Spend
  • 22. Cloud users wasting up to 45%of their spend Three-year VM leases Fixed, inflexible VM configurations Per-hour billing Rightscale State of Cloud 2017 Estimated Self-Reported Waste Additional Wasted Spend (measured by Rightscale)
  • 23. 24% Get Automatic Sustained Use Discounts Every Month Monthly Usage Price Average Savings –10% –20% –30%
  • 24. Dictated by vendor Fixed VM Configurations Any CPU, Any Memory with Average 19% Savings
  • 25. Per-Minute Billing Pay only for the compute you use
  • 27. New Google Cloud Storage product line Multi-Regional Regional Nearline Coldline Common scenarios 2.6¢ per GB-mo Content storage and delivery, business continuity For highest availability of frequently accessed data 2¢ per GB-mo Store data for analytics or compute within a region For data accessed frequently within a region 1¢ per GB-mo Store infrequently accessed content For data accessed < once a month 0.7¢ per GB-mo Archival storage Data accessed < once a year Customer use case Streaming videos, images, websites, documents Video transcoding, genomics, general data analytics and compute Serving rarely accessed docs, backup Serve rarely used data, movie archive, Disaster recovery
  • 29. Compliance audits ISO 27001 ISO 27017 ISO 27018 HIPAA ISAE 3402 Type II AICPA SOC AICPA SOC PCI DSS v3.1 FedRAMP ATO For G Suite and Google App Engine SSAE 15 Type II
  • 31. Audit logging URL reputation Binary reputation Log-in reputation In-app reputation Automatic Updates and Patching Secure best practices and configurations Threat analysis and intelligence Forensics Anomaly detection Incident Response Unphishable HW 2nd Factor TL5 DDOS TLS Certificate Pinning Vulnerability Scanning Binary verification Source code provenance 3rd party code reputation Automatic enforcement of peer review Security Reviews Global Private Network Encapsulation/ Obfuscation Elliptical Encryption Encryption IAM/Policy Logging Custom Hardened Kernal Authentication for each host and each job Curated images Trusted Boot Cryptographic Credentials Purpose-built chips Purpose-built servers Purpose-built storage Purpose-built network Purpose-built data centers Usage Operations Deployment Application Network Storage OS + IPC Boot Hardware
  • 32. Titan Google's purpose-built chip to establish hardware root of trust for both machines and peripherals on cloud infrastructure Google's purpose-built network controller ● Securely identify and authenticate legitimate access at the hardware level ● Part of Google’s layered security architecture, spanning from low physical security layers higher to logical, operational security layers.
  • 33. Identity-Aware Proxy BETA ● Control access by user identity ● Simpler and safer than VPN ● Building block for “BeyondCorp”
  • 34. Security Key Enforcement ● Enforce security keys as 2nd factor ● Protect from #1 threat, phishing ● Building block for “BeyondCorp”
  • 35. Data Loss Prevention BETA ● Discover & redact sensitive data ● Simplify regulatory compliance ● Safely unlock more of the cloud
  • 36. 40+ infotypes available in DLP API, including localized infotypes Source: http://services.google.com/fh/files/misc/gmail_dlp_whitepaper.pdf
  • 39. ● Cloud-hosted key management service ● Automatically rotate keys ● Keep millions of encryption keys Cloud Key Management Service
  • 40. Storage, Archival, Big-Data and Analytics on Google Cloud
  • 41. Transform data into actions Exploration & Collaboration Databases Storage Data Preparation & Processing Analytics Advanced Analytics & Intelligence Mobile apps Sensors and devices Web apps Relational Key-value Document SQL Wide column Object Stream processing Batch processing Data preparation Federated query Data catalog Data exploration Data visualization Developers Data scientists Business analysts Development environment for Machine Learning Pre-Trained Machine Learning models Data Ingestion Messaging Logs
  • 42. Transform data into actions Data Preparation & Processing Cloud Dataflow Cloud Dataproc Exploration & Collaboration Google BigQuery Cloud Datalab Google Analytics 360 Cloud Dataproc Mobile apps Sensors and devices Web apps Developers Data scientists Business analysts Data Ingestion Cloud Pub/Sub App Engine Databases/ Storage Cloud SQL Cloud Bigtable Cloud Datastore Cloud Storage Analytics Google BigQuery Google Analytics 360 Cloud Dataproc Google Drive Advanced Analytics & Intelligence Cloud Machine Learning Translate API Vision API Speech API
  • 43. Cloud Storage App Engine Memcache BigQuery Key-value RelationalNon-relationalObject Warehouse Fully Managed Storage & Database Services Binary or object data Images, Media serving, backups Web/mobile applications, gaming Game state, user sessions Cloud Datastore Hierarchical, mobile, web User profiles, Game State Cloud Bigtable Heavy read + write, events AdTech, Financial, IoT Cloud SQL Web frameworks CMS, eCommerce Cloud Spanner RDBMS+scale, HA, HTAP Transactions, Ad/Fin/MarTech Enterprise Data Warehouse Analytics, Dashboards
  • 44. Products & services Big Data BigQuery A fast, economical and fully managed data warehouse for large-scale data analytics Cloud Dataflow Cloud Dataflow is a real-time data processing service for batch and stream data processing Cloud Dataproc Cloud Dataproc is a managed Spark and Hadoop service that is fast, easy to use, and low cost Cloud Pub/Sub Connect your services with reliable, many-to-many, asynchronous messaging hosted on Google's infrastructure Cloud Datalab BETA An easy to use interactive tool for large-scale data exploration, analysis and visualization Genomics Power your science with Google Genomics
  • 45. Machine Learning & Conversational Computing
  • 47. “If you want to teach a neural network to recognize a cat, for instance, you don’t tell it to look for whiskers, ears, fur, and eyes. You simply show it thousands and thousands of photos of cats, and eventually it works things out.”
  • 48. Keys to Successful Machine Learning Large Datasets Good Models Lots of Computation
  • 50. Use your own data to train models Ready to use Machine Learning models Cloud Vision API Cloud Translation API Cloud Natural Language API Cloud Speech API Cloud Machine Learning Engine TensorFlow Cloud Jobs API Cloud Video Intelligence Two ways Google Cloud can help you Benefit from Machine Learning
  • 51. Conversational Intelligence Personalized Promotional Offers Cart & Order Management Secured Payment Integrations Order Tracking Image Analysis Multilingual Read More
  • 53. WhitePages’ Smart Search and Connectivity Improves Employee Collaboration at Whirlpool Embraco Challenges ● Customer’s workforce is dispersed all across the globe; hassle-free connectivity was a critical business challenge. ● The system was not mobile and could only be accessed within the internal office network. ● The legacy system was visually out-of-date and did not encourage user adoption. Solution As the customer’s technology advisor, MediaAgility delivered a comprehensive employee information and engagement solution that fuelled collaboration by giving employees power to instantly connect at a moment’s notice. Results ● Employee collaboration with hassle-free connectivity. ● With Google’s single sign-on feature, users can quickly access the data anytime through web and mobile. ● The solution is cloud-based, hence needs minimum or no IT maintenance. Read More
  • 54. Challenges ● The team wanted a mapping technology that could help expand the service throughout India. ● Bigbasket guaranteed to deliver goods within a one-hour delivery slot of its customers’ choosing or it would refund them 10 percent of their orders ● Track all orders and delivery progress in real-time Solution Google Maps Partner MediaAgility used a variety of Google Maps APIs to develop web and mobile apps for the company’s backend that tracks all orders and delivery progress. Results ● Bigbasket handles more than one million orders per month, and delivers in more than two dozen cities in India ● Bigbasket now has more than four million customers ● Orders are delivered on time, increasing customer loyalty Know More MediaAgility with Google Maps APIs, Helps Bigbasket Deliver Engaging Customer Experience with Faster Order Deliveries
  • 55. Identify Workloads Define architectures with the right technology stack Develop a tailored prototype Build business cases Sure Start - Infrastructure
  • 56. Sure Start - Machine Learning Get your teams trained on Google Cloud Platform and Machine Learning with hands-on exercises Identify potential first use case for getting started with Machine Learning Develop a Minimum Viable Product Build business cases
  • 57. Sure Start - Agenda. 5 days. 5 Modules. Day 1 Google Cloud Platform (GCP) Fundamentals Day 2 Deep Dive Training Day 3 Design Workshop Day 4 Minimum Viable Product Day 5 Insights & Business Use Case
  • 58. Thank you! solutions@mediaagility.com 1-866-MEDIA-V1 360 Wall Street Princeton NJ 08540 +1 609 681 5754 New York 12 Bath Road, London TW3 3EB +44 203 743 8441 London SCO 43, Old Judicial Complex Sector 15, Gurgaon +91 113 001 8086 New Delhi Francisco Petrarca #223 int.902 Polanco VSector C.P 11570 Del. Miguel Hidalgo, Cd. +52 0445535774332 Mexico