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Ponencia Principal - AWS Summit - Madrid

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Ponencia Principal - AWS Summit - Madrid

  1. 1. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. Welcome to the AWS Summit Madrid
  2. 2. COUNTRY MANAGER AMAZON WEB SERVICES GUILLEM VEIGA
  3. 3. AGENDA 09:00 - 18:00 HANDS-ON LABS, PARTNER & SOLUTIONS EXPO, STARTUP ZONEAND AWS EXPERT TEAM 10:15 - 11:45 KEYNOTE – DR. WERNER VOGELS, CTO AMAZON.COM 12:15 - 13:15 SECURITY KEYNOTE – BILL MURRAY, SR. MANAGER, AWS SECURITY PROGRAMS 13:15 - 14:30 LUNCH BREAKAND PARTNER & SOLUTIONS EXPO 14:30 - 17:15 BREAKOUT SESSIONS 17:30 - 18:00 CLOSING KEYNOTE – DR. WERNER VOGELS, CTO AMAZON.COM 18:00 - 19:30 NETWORKING & DRINKS
  4. 4. BREAKOUT SESSIONS INNOVATION IN ENTERPRISE GO! BUILD! AGILE IN THE CLOUD
  5. 5. INNOVATION IN ENTERPRISE GO! BUILD! AGILE IN THE CLOUD
  6. 6. STARTUP ZONE TECHNICALBAR AWS PARTNER NETWORK PITCH YOUR PROJECT CERTIFICATION LOUNGE
  7. 7. PLATINUM SPONSORS GOLD SPONSORS SILVER SPONSORS
  8. 8. AWS USER GROUPS
  9. 9. #AWSSummit @awscloud_es
  10. 10. © 2016, Amazon Web Services, Inc. or its Affiliates. All rights reserved. CTO, Amazon.com @werner Dr. Werner Vogels Patterns of Success in the Cloud
  11. 11. From 2010
  12. 12. AWS grew up fast: 88% COMPUTE GROWTH 102% DATA TRANSFER GROWTH 113% DATABASE SERVICE USAGE GROWTH Q3 2014 VS Q3 2015
  13. 13. AWS 10 years later: 10X COMPUTE CAPACITY IN USE OF 14 OTHERS, COMBINED 1,000,000+ ACTIVE CUSTOMERS PER MONTH
  14. 14. AWS 10 years later: $10B+ RUN RATE 10X COMPUTE CAPACITY IN USE OF 14 OTHERS, COMBINED 64% YOY GROWTH 1,000,000+ ACTIVE CUSTOMERS PER MONTH
  15. 15. THE TECHNOLOGY PLATFORM OF CHOICE
  16. 16. LARGEST NUMBER OF START-UP CUSTOMERS
  17. 17. LARGEST NUMBER OF ENTERPRISE CUSTOMERS
  18. 18. LARGEST NUMBER OF PUBLIC SECTOR CUSTOMERS
  19. 19. BROADEST ECOSYSTEM OF SYSTEM INTEGRATORS
  20. 20. BROADEST ECOSYSTEM OF ISVS
  21. 21. DIGITAL TRANSFORMATION SURVIVAL EFFICIENCY TALENT
  22. 22. DIGITAL TRANSFORMATION SURVIVAL EFFICIENCY TALENT Jeff Immelt, GE Chairman & CEO “If you went to bed last night as an industrial company, you’re going to wake up this morning as a software and analytics company.”
  23. 23. GE is migrating 9000 workloads over to AWS Intends to reduce the number of datacenters from 34 down to 4
  24. 24. Lessons from LEAN: ELIMINATE “WAIT STATES”
  25. 25. Lessons from LEAN: ELIMINATE “WAIT STATES”
  26. 26. Lessons from LEAN: ELIMINATE “WASTE”
  27. 27. Lessons from LEAN: ELIMINATE “WASTE” Waste is anything that does not benefit customers
  28. 28. INFRASTRUCTURE SERVICES PLATFORM SERVICES ENTERPRISE SERVICES SECURITY & COMPLIANCE MARKETPLACE PHYSICAL INFRASTRUCTURE COMPUTE STORAGE DATABASES NETWORKING MONITORING ANALYTICS APP SERVICES MOBILE SERVICES DEV & OPS IOT MIGRATION HYBRID VIRTUAL DESKTOPS CORPORATE EMAIL COLLABORATION IDENTITY ACCESS CONTROL KEY MANAGEMENT CONFIG COMPLIANCE AUDITING BUSINESS APPS BUSINESS INTELLIGENCE SECURITY DEVOPS TOOLS NETWORKING REGIONS AVAILABILITY ZONES EDGE POPS GLOBAL NETWORK GOVCLOUD
  29. 29. INFRASTRUCTURE SERVICES COMPUTE STORAGE DATABASES NETWORKING MONITORING PLATFORM SERVICES ANALYTICS APP SERVICES MOBILE SERVICES DEV & OPS IOT ENTERPRISE SERVICES MIGRATION HYBRID VIRTUAL DESKTOPS CORPORATE EMAIL COLLABORATION SECURITY & COMPLIANCE IDENTITY ACCESS CONTROL KEY MANAGEMENT CONFIG COMPLIANCE AUDITING MARKETPLACE BUSINESS APPS BUSINESS INTELLIGENCE SECURITY DEVOPS TOOLS NETWORKING PHYSICAL INFRASTRUCTURE REGIONS AVAILABILITY ZONES EDGE POPS GLOBAL NETWORK GOVCLOUD • GENERAL PURPOSE (M4) • COMPUTE OPTIMIZED(C4) • MEMORY OPTIMIZED(R3, X1) • GPU OPTIMIZED (G2) • STORAGE OPTIMIZED(D2) • IO OPTIMIZED (I2) • LOWCOST, BURST-ABLE (T2) • DEDICATED INSTANCES
  30. 30. INFRASTRUCTURE SERVICES COMPUTE STORAGE DATABASES NETWORKING MONITORING PLATFORM SERVICES ANALYTICS APP SERVICES MOBILE SERVICES DEV & OPS IOT ENTERPRISE SERVICES MIGRATION HYBRID VIRTUAL DESKTOPS CORPORATE EMAIL COLLABORATION SECURITY & COMPLIANCE IDENTITY ACCESS CONTROL KEY MANAGEMENT CONFIG COMPLIANCE AUDITING MARKETPLACE BUSINESS APPS BUSINESS INTELLIGENCE SECURITY DEVOPS TOOLS NETWORKING PHYSICAL INFRASTRUCTURE REGIONS AVAILABILITY ZONES EDGE POPS GLOBAL NETWORK GOVCLOUD • MULTI-AZ REPLICATION • READ REPLICAS • LIKE FOR LIKE MIGRATION • CROSS-ENGINE MIGRATION AMAZON AURORA
  31. 31. PLATFORM SERVICES ANALYTICS APP SERVICES MOBILE SERVICES DEV & OPS IOT ENTERPRISE SERVICES MIGRATION HYBRID VIRTUAL DESKTOPS CORPORATE EMAIL COLLABORATION INFRASTRUCTURE SERVICES COMPUTE STORAGE DATABASES NETWORKING MONITORING MARKETPLACE BUSINESS APPS BUSINESS INTELLIGENCE SECURITY DEVOPS TOOLS NETWORKING PHYSICAL INFRASTRUCTURE REGIONS AVAILABILITY ZONES EDGE POPS GLOBAL NETWORK GOVCLOUD SECURITY & COMPLIANCE IDENTITY ACCESS CONTROL KEY MANAGEMENT CONFIG COMPLIANCE AUDITING • IDENTITY POLICIES • LOCATION POLICIES • TIME-BASED POLICIES • INDIVIDUAL API CALLS • KEY ROTATION • TEMPORARY CREDENTIALS • POLICY SIMULATOR
  32. 32. AMAZING INNOVATIONS ENABLED BY AGILITY AND A RICH COLLECTION OF SERVICES WORLDWIDE MANAGEMENT OF WIFI NETWORKS MILLIONS OF CONCURRENT PLAYERS AT LAUNCH PETABYTES OF REALTIME DATA PER SEASON REPLAY BILLIONS OF TRADES INSTANTLY
  33. 33. 75%Does not speak English
  34. 34. Translation market Untapped Market User Generated Content Customer Service E-mails Newsletters Product
 Reviews Traditional media Existing 
 Market $34B
  35. 35. Multilingual Customer support Every Agent
 using Unbabel Unbabel + Human Translators + Average Ticket 100 Words Cost: Time: 10$ 2$ 6h 20m Industry Unbabel
  36. 36. 5 Translation Distributed Translation
 ( Editors ) Preparation Unbabel Pipeline Quality Estimation Quality Estimation Order Result Why AWS? • Infrastructure costs 50% lower than before • Activate Program (Credits and Support) • Has all Features Unbabel required • Easy Scalability • Easier Infrastructure visualization
  37. 37. Automatic Translation Pipeline MT Router Specialized MT Automatic Post-Edit Router Translation Memory Order Result
  38. 38. Smart Check Spelling Tone Formality Consistency External NLP Services Spell Check Syntax Parser Word Aligner Annotation Tool Closed Beta Eval Client Rule Learn Annotated
  39. 39. Challenges • Different architecture requirements • Web Application • NLP/ML Servers • Replicate Heroku easy of use • Reduce cost of Infrastructure • Prepare to scale 11 Why AWS? • Infrastructure costs 50% lower than before • Activate Program (Credits and Support) • Has all Features Unbabel required • Easy Scalability • Easier Infrastructure visualization
  40. 40. Why AWS? • Infrastructure costs 50% lower than before • Activate Program (Credits and Support) • Has all Features Unbabel required • Easy Scalability • Easier Infrastructure visualization
  41. 41. AWS Services being used Amazon EC2 Elastic Load Balancing Amazon VPC Amazon S3 Amazon RDS Amazon Route 53 Amazon CloudWatch AWS CloudTrail AWS Identity and Access Management Amazon Elasticsearch Service
  42. 42. Delivery Pipeline
  43. 43. Future Developments • Focus on deep learning needs (GPU instances) • Algorithms more suited to AWS instances (less memory) • Use AWS Lambda to perform most of background work
  44. 44. SIMPLICITY “A complex system that works is invariably found to have evolved from a simple system that worked. A complex system designed from scratch never works and cannot be patched up to make it work. You have to start over with a working simple system. ” Gall’s law
  45. 45. The Patterns of Success
  46. 46. The Patterns of Success ANALYTICS
  47. 47. Three types of Analytics Retrospective analysis and reporting
  48. 48. Three types of Analytics Retrospective analysis and reporting Here-and-now real-time processing and dashboards
  49. 49. Three types of Analytics Retrospective analysis and reporting Here-and-now real-time processing and dashboards Predictions to enable smart applications
  50. 50. ANALYTICS INGEST
  51. 51. ANALYTICS INGEST STORE
  52. 52. ANALYTICS INGEST STORE ANALYZE
  53. 53. ANALYTICS INGEST STORE ANALYZE SHARE
  54. 54. ANALYTICS INGEST STORE ANALYZE SHARE
  55. 55. MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  56. 56. SMALL & FREQUENT HUGE, LESS FREQUENT MEDIUM & OFTEN MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  57. 57. SMALL & FREQUENT HUGE, LESS FREQUENT MEDIUM & OFTEN MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  58. 58. KINESIS STREAMS REAL TIME STREAMING DATA WITH AMAZON KINESIS BUILD CUSTOM APPLICATIONS TO COLLECT & ANALYZE STREAMING DATA
  59. 59. KINESIS STREAMS KINESIS FIREHOSE REAL TIME STREAMING DATA WITH AMAZON KINESIS EASILY LOAD STREAMING DATA INTO AWS ELASTICSEARCH INTEGRATION BUILD CUSTOM APPLICATIONS TO COLLECT & ANALYZE STREAMING DATA
  60. 60. KINESISANALYTICS RUN STANDARD SQL QUERIES OVER STREAMING DATA KINESIS STREAMS BUILD CUSTOM APPLICATIONS TO COLLECT & ANALYZE STREAMING DATA REAL TIME STREAMING DATA WITH AMAZON KINESIS KINESIS FIREHOSE EASILY LOAD STREAMING DATA INTO AWS ELASTICSEARCH INTEGRATION
  61. 61. SMALL & FREQUENT HUGE, LESS FREQUENT MEDIUM & OFTEN MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  62. 62. SNOWBALL PETABYTE SCALE DATA TRANSPORT SERVICE
  63. 63. LARGE CUSTOMER DATASET END-TO-END CUSTODY CUSTOMER DATASET LOADED
  64. 64. 10 SNOWBALLS CONNECTED TO YOUR DMZ = THE THROUGHPUT OF A 100G NETWORK CONNECTION
  65. 65. SNOWBALL MOMENTUM BUILDS 30 TIMES 500+ BILLION AROUND THE WORLD OBJECTS MOVED
  66. 66. SMALL & FREQUENT HUGE, LESS FREQUENT MEDIUM & OFTEN MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  67. 67. LONG DISTANCE FROM AWS REGION LARGE SIZE OBJECTS LARGE NUMBER OF OBJECTS MOVING DATA TO THE CLOUD: LIMITED BY THE SPEED OF LIGHT
  68. 68. CAN WE USE THE AWS GLOBAL NETWORK TO SPEED UP DATA IN BOTH DIRECTIONS?
  69. 69. ACCELERATE TRANSFERS TOAMAZON S3 USING THEAWS EDGE NETWORK AMAZON S3 TRANSFER ACCELERATION
  70. 70. 300% FASTER FOR MOST USE CASES EVEN FASTER IN OTHERS NO COST UNLESS IT’S FASTER AMAZON S3 TRANSFER ACCELERATION
  71. 71. VIDEO COLLABORATION VIDEO ANALYSIS CINEMATIC VIRTUAL REALITY AMAZON S3 TRANSFER ACCELERATION RESULTS
  72. 72. SMALL & FREQUENT HUGE, LESS FREQUENT MEDIUM & OFTEN MOVING DATA TO THE CLOUD PERSISTENT CONNECTIVITY
  73. 73. ANALYTICS INGEST STORE ANALYZE SHARE
  74. 74. Amazon EFS Amazon EBS Amazon EC2 Instance storage Amazon S3 Amazon Glacier AWS Storage Gateway Choice in Storage Systems FILE BLOCK OBJECT HYBRID
  75. 75. SOLID STATE INNOVATION IN BLOCK STORAGE LATENCY-SENSITIVE, TRANSACTIONAL WORKLOADS CONSISTENT HIGH IOPS "BURST" MODEL
  76. 76. CAN WE INNOVATE WITH MAGNETIC MEDIA?
  77. 77. TWO NEW EBS VOLUME TYPES BUILT FOR THROUGHPUT THROUGHPUT OPTIMIZED HDD (ST1) UP TO 500MB/S $0.045 PER GB/MONTH COLD HDD (SC1) UP TO 250MB/S $0.025 PER GB/MONTH
  78. 78. THE INDUSTRY’S BEST PRICE/PERFORMANCE BLOCK STORAGE FOR BIG DATA WORKLOADS PROCESSING LOGS STREAMING DATA PROCESSING DATA ANALYTICS WITH MAP/REDUCE DATA WAREHOUSING LESS FREQUENTLY ACCESSED
  79. 79. MOBILE ENGAGEMENT PLATFORM SOCIAL COMMERCE SOLUTIONS PLATFORM FOR OPERATIONAL INTELLIGENCE SOCIAL GAMING CLOUD-DELIVERED, NEXT-GENERATION SECURITY SERVICES OPEN SOURCE, SCALABLE PLATFORM FOR APACHE KAFKA
  80. 80. A CHOICE OF MANAGED DATABASES Amazon DynamoDB Document and Key-Value Store Amazon RDS SQL Database Engines Amazon Redshift Data Warehouse Amazon ElasticSearch Full Text Search
  81. 81. ANALYTICS INGEST STORE ANALYZE SHARE
  82. 82. Amazon Kinesis Real-time Analytics Amazon RedShift Data warehouse Amazon EMR Hadoop Spark Presto Amazon Machine Learning Prediction Engine Amazon ElasticSearch Full Text Search Amazon QuickSight Business Intellligence A CHOICE OF ANALYTICS SOLUTIONS
  83. 83. 1-click deployment to launch,on multiple regions around the world Pay-as-you-go pricing with no long term contracts required Advanced Analytics Business IntelligenceData Integration AWS Marketplace
  84. 84. Amazon EC2 X1 2TB MEMORY QUAD PROC E7 100+VCP
  85. 85. The Patterns of Success DEV & TEST
  86. 86. DEVELOPMENT AND TESTING IS WHERE AGILITY LIVES UNCONSTRAINED ACCESS TO RESOURCES TESTING WITH MUCH HIGHER FIDELITY FASTER TO MARKET MAJOR PRODUCTIVITY IMPROVEMENTS
  87. 87. You can switch off your resources when you go home
  88. 88. You can switch off your resources when you go home Cost savings up to 75%
  89. 89. Statcast Personal Finances Healthcare Digital Web E-commerce App Platform Digital Content Media Web SitesWeb CRM Digital Media Digital Services Education Analytics FROM EXPERIMENTS TO DIGITAL TRANSFORMATION
  90. 90. AWS in Hotelbeds Group Madrid, June 2nd 2016 Alvaro De Nicolas, CTO
  91. 91. ROOMNIGHTS +13,000 TRANSFER ROUTES +8,000 ACTIVITIES +12,000 PORTCALLS +25 MILLION +75,000HOTELS CONTRACTED €4.28BN IN SALES 14 YEARS DOUBLE DIGIT GROWTH +120 SOURCE MARKETS PRODUCTS IN +185 COUNTRIES INCOMING SERVICES IN +40 COUNTRIES
  92. 92. Services developed from the need for extraordinary Scalability
  93. 93. The Business Challenge
  94. 94. The Tech Challenge Hundreds of servers to be deployed between Feb & June
  95. 95. The Tech Challenge Hundreds of servers to be deployed between Feb & June
  96. 96. So … How can we rise up to it??
  97. 97. The Tech Challenge
  98. 98. Change the Process & Automate Consul as a discovery, health monitoring and config services for microservices architectures Development Environment Amazon CloudWatch Test Environment LIVE Environment Ansible in order to automate the deployment process Amazon EC2 Amazon RDS Amazon S3 Amazon DynamoDB
  99. 99. The services Lambda Glacier S3 DynamoDB Redshift VPC Direct Connect CloudWatch CloudFormation CloudTrail IAM EMRKinesis Python (boto) Java ingestion & data lake Languages management, data exploration
  100. 100. Big Data Services Direct Connect Lambda S3 Redshift Kinesis … Tableau QuickSight 90% NRT 10% BATCH 20 Shards 600GB RAM +5 TB DAILY +2500M events per day +5,000 Tables ingested per day
  101. 101. Reduction in Margins from clients and suppliers makes us look to other ways of monetize our data Amazon EC2 Amazon S3 Amazon Glacier Amazon CloudFront Amazon DynamoDB Amazon Redshift Amazon ElastiCache Amazon RDS Amazon VPC Amazon Route 53 AWS Direct Connect Amazon CloudWatch AWS CloudTrail AWS Trusted Advisor AWS IAM Amazon Elasticsearch Service Amazon EMR Amazon Kinesis Amazon QuickSight Amazon SQS Amazon SNS Elastic Load Balancing
  102. 102. The Patterns of Success MIGRATION OF EXISTING WORKLOADS
  103. 103. THE JOURNEY TO AWS IS A WELL TRODDEN PATH DEVELOPMENT & TEST ALL TOGETHER NEW APPLICATIONS DIGITAL ANALYTICS MOBILE DC MIGRATION MISSION CRITICAL APPS ALL IN 1 2 3 4
  104. 104. THE DESTINATION FOR MANY ENTERPRISES: ALL IN
  105. 105. HYBRID AS A STEPPING STONE Hybrid app deployments Data integrationIntegrated networking Integrated networking Integrated networking Integrated DevOps Management integrated resource management Hybrid app deploymentRealtime data integration Hybrid app deployment Integrated networking Integrated security data integration Integrated networking Integrated Networking Integrated DevOps Management Integrated DevOps Management Automated and integrated back-ups
  106. 106. ON-PREMISES AWS BROAD SERVICES FOR HYBRID APPLICATIONS Single-Tenant Compute Bring Your Own Image/License Simultaneous, Self-Service Provisioning of Many VMs Integration with Existing Management Tools Massive Scale Import / Export Isolated Network Across Regions Fully Isolated Network Posture DNS-Based Global Load Balancing Network Forensic Tools Web Application Firewall Isolated Network within Region Private Connections from Your DC to AWS Network Performance Tiers Global Content Delivery Network Security Info & Event Management (SIEM) Integration Provider-Enabled Encryption Services Centralized Key Management Automated Security Assessment Rich, Role-Based Access Controls Hardware Security Module (HSM) Support Active Directory (AD) Integration / AD-aaS Track Resource Inventory and Changes Bulk Object Delete and Data Lifecycle Mgmt Policies Customer Ownership Of Data Many Scalable Database Engines Data Archival Simple Import of Massive Data Amounts Customer Control Over Data Locale Elastic File System Database Migration and Conversion Tools Gateway – Cached Volumes Create and Standardize on Best Practices Automate Operations Management Release Software Using Continuous Delivery Monitor Resources And Applications Centralize and Simplify Software Deployments Build, Publish and Manage APIs Managed Source Control Integration with Existing Management Tools Data Warehouse Integrated Compute Integrated Networking Integrated Security & Access Data Integration & Lifecycle Mgmt Resource and Deployment Mgmt
  107. 107. 2014 2015 2016 E.G. INNOVATION LABS, MOBILE APP PILOTS, HACKATHONS E.G. ONLINE BANKING, STREAM DATA PROCESSING E.G. MOBILE BANKING APP EXPERIMENTATION DEVELOP & TEST PRODUCTION A Strategic Phased Migration
  108. 108. FOUR KEY COMPONENTS OF MIGRATION TRAINING & CERTIFICATION
  109. 109. FOUR KEY COMPONENTS OF MIGRATION TRAINING & CERTIFICATION DATA MIGRATION
  110. 110. FOUR KEY COMPONENTS OF MIGRATION TRAINING & CERTIFICATION DATA MIGRATION DATABASE MIGRATION
  111. 111. AWS DATABASE MIGRATION SERVICE ON-PREMISES DATABASES
  112. 112. MIGRATE BETWEEN DATABASE ENGINES ENGINE A SCHEMA CONVERSION TOOL SCHEMA & DATA TRANSFORMATION DATABASE MIGRATION SERVICE CONVERT DATABASE FUNCTIONS Tables Partitons Sequences Views Stored Procedures Triggers Functions ENGINE B
  113. 113. Amazon Aurora
  114. 114. FOUR KEY COMPONENTS OF MIGRATION TRAINING & CERTIFICATION DATA MIGRATION DATABASE MIGRATION APPLICATION MIGRATION
  115. 115. AWS APPLICATION DISCOVERY SERVICE AUTOMATE THE DISCOVERY OF DATACENTER APPLICATIONS & THEIR DEPENDENCIES
  116. 116. SIMPLIFY APPLICATION DISCOVERY WITH AWS ADS AUTOMATICALLY DISCOVERYAPP INVENTORY IDENTFIESAPP & INFRASTRUCTURE DEPENDENCIES MEASURES PERFORMANCE BASELINE DATAENCRYPTED WITH AMAZON KMS
  117. 117. GET HELP WITH MIGRATION FROM ISV AND SI PARTNERS
  118. 118. FOUR KEY COMPONENTS OF MIGRATION TRAINING & CERTIFICATION DATA MIGRATION DATABASE MIGRATION APPLICATION MIGRATION
  119. 119. The Patterns of Success BETTER SECURITY
  120. 120. ORMOVE FAST STAY SECURE
  121. 121. BROADEST SET OF ACCREDITATIONS & CERTIFICATIONS GLACIER VAULT LOCK & SEC RULE 17A-4(F) 27018
  122. 122. BROADEST SERVICES TO SECURE APPLICATIONS NETWORKING VIRTUAL PRIVATE CLOUD WEB APPLICATION FIREWALL
  123. 123. BROADEST SERVICES TO SECURE APPLICATIONS NETWORKING VIRTUAL PRIVATE CLOUD WEB APPLICATION FIREWALL IDENTITY IAM ACTIVE DIRECTORY INTEGRATION SAML FEDERATION
  124. 124. BROADEST SERVICES TO SECURE APPLICATIONS NETWORKING VIRTUAL PRIVATE CLOUD WEB APPLICATION FIREWALL ENCRYPTION KEY MANAGE- MENT SERVICE CLOUDHSM SERVER- SIDE ENCRYPTION ENCRYPTION SDK IDENTITY IAM ACTIVE DIRECTORY INTEGRATION SAML FEDERATION
  125. 125. BROADEST SERVICES TO SECURE APPLICATIONS COMPLIANCE CONFIGCLOUD TRAIL SERVICE CATALOG CONFIG RULES INSPECTOR NETWORKING VIRTUAL PRIVATE CLOUD WEB APPLICATION FIREWALL ENCRYPTION KEY MANAGE- MENT SERVICE CLOUDHSM SERVER- SIDE ENCRYPTION ENCRYPTION SDK IDENTITY IAM ACTIVE DIRECTORY INTEGRATION SAML FEDERATION
  126. 126. WHAT’S BEING ASSESSED? NETWORK,VMS, OS & APPLICATION CONFIGURATIONS DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN WITH AMAZON INSPECTOR
  127. 127. WHAT’S BEING ASSESSED? NETWORK,VMS, OS & APPLICATION CONFIGURATIONS BUILT-IN CONTENT LIBRARY CHECK COMMON SECURITY STANDARDS & VULNERABILITIES DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN WITH AMAZON INSPECTOR
  128. 128. WHAT’S BEING ASSESSED? NETWORK,VMS, OS & APPLICATION CONFIGURATIONS BUILT-IN CONTENT LIBRARY CHECK COMMON SECURITY STANDARDS & VULNERABILITIES DETAILED LISTS DETAILED DASHBOARD DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN WITH AMAZON INSPECTOR
  129. 129. WHAT’S BEING ASSESSED? NETWORK,VMS, OS & APPLICATION CONFIGURATIONS BUILT-IN CONTENT LIBRARY CHECK COMMON SECURITY STANDARDS & VULNERABILITIES DETAILED LISTS DETAILED DASHBOARD FULL AUDIT TRAILS TRACK WHAT TESTS WERE PERFORMED WHEN AND THEIR RESULTS DETECT & REMEDIATE SECURITY ISSUES EARLY & OFTEN WITH AMAZON INSPECTOR
  130. 130. EARLY CUSTOMER AND PARTNER SUCCESS WITH AMAZON INSPECTOR
  131. 131. ORMOVE FAST STAY SECURE
  132. 132. ANDMOVE FAST STAY SECURE
  133. 133. AWS Summit Ignacio Bernal Global Head of Architecture And IT Innovation
  134. 134. The financial industry is under severe pressure ●Regulation ●Clients ●New Incumbents Exponential demand on IT with a linear production model
  135. 135. New IT paradigm leveraging the cloud technology From... To... > 45€/client/year (technology cost) <5€/client (technology cost … with x100 more data by customer) <1% of global components >20% of global components (three years) >6 months to develop a simple app with >75% waste Weekly release cycles with <25% waste 5-10 Exabytes of storage capacity, real time analytics 200-250 Tb of storage capacity, monthly processing cycles
  136. 136. We have structured the transformation in two big waves Create a global banking cloud platform (3-5 years) Enable the AI driven Bank (5-7 years) Transform current bank Cognitive Computing Extreme Automation Create a bank from scratch
  137. 137. How would a Cloud Platform look like at BBVA? Cloud Infrastructure Services (Hybrid) BBVA Cloud Platform Marketplace (PaaS) Banking Services Data Services BBVA Business Applications (local or global) Third Party Applications
  138. 138. Services available for third party developers ❏ Open APIs for fintech world ❏ In production in US and Spain ❏ Real clients in production ❏ 60+ services available 100% on AWS and automated
  139. 139. Third party clients Third Party Applications Local backends Cloud service architecture in AWS Real Time payments processing consuming debit and account services Native digital bank consuming full stack of banking services www.bbvaapimarket.com Services like: identity, accounts, cards, transfers, etc. available in Spain and US
  140. 140. Cloud Computing SecDevOps Machine Learning Cloud Security Platform as a Service API economy Cloud Storage Cloud Networking Data Architecture SW Development Tell us about you: engineeringhiring.group@bbva.com
  141. 141. The Patterns of Success HYPER CONNECTIVITY
  142. 142. CONNECT EVERY ONE
  143. 143. The best mobile Apps run on AWS
  144. 144. MOBILE DEVICE THE DUALITY OF DEVICES
  145. 145. MOBILE DEVICE MOBILE BACKEND THE DUALITY OF DEVICES
  146. 146. S3D YN AM OD B M OBILE AN ALYTIC S MOBILE DEVICE MOBILE BACKEND R D S DATA AND CONTENT ANALYTICS THE DUALITY OF DEVICES
  147. 147. S3D YN AM OD B M OBILE AN ALYTIC S SN S NOTIFICATIONS MOBILE DEVICE MOBILE BACKEND R D S DATA AND CONTENT ANALYTICS THE DUALITY OF DEVICES
  148. 148. S3D YN AM OD B M OBILE AN ALYTIC S SN S AM AZON C OGN ITO API GATEW AY LAM BD A LAM BD A LAM BD A NOTIFICATIONS MOBILE DEVICE MOBILE BACKEND R D S DATA AND CONTENT ANALYTICS THE DUALITY OF DEVICES
  149. 149. S T O R E & S Y N C D A T A G U E S T A C C E S S S O C I A L I D E N T I T Y AMAZON COGNITO: SIMPLE AND SECURE IDENTITY S A F E G U A R D A W S C R E D E N T I A L S
  150. 150. Y O U R I D E N T I T Y P O O L S T O R E & S Y N C D A T A G U E S T A C C E S S S O C I A L I D E N T I T Y AMAZON COGNITO: SIMPLE AND SECURE IDENTITY S A F E G U A R D A W S C R E D E N T I A L S
  151. 151. EASY USER MANAGEMENT LAMBDADRIVEN WORKFLOWS MULTI-FACTOR AUTHENTICATION EMAIL AND PHONE NUMBER VERIFICATION FULLY MANAGED IDENTITY POOLS WITH AMAZON COGNITO
  152. 152. How Can We Simplify the Development of the Next Generation of Mobile Apps?
  153. 153. 1. CHOOSE & CONFIGURE FUNCTIONALITY AWS MOBILE HUB
  154. 154. 1. CHOOSE & CONFIGURE FUNCTIONALITY 2. DOWNLOAD SOURCE AWS MOBILE HUB
  155. 155. 1. CHOOSE & CONFIGURE FUNCTIONALITY 2. DOWNLOAD SOURCE 3. TEST & MONITOR AWS MOBILE HUB
  156. 156. Lots of devices can be solved by trying to test on all of them, but usually more likelyto just use a subset; made worse by the fact that new devices are appearing on the market all the time.
  157. 157. Automaticallytest on a large selection of device types View detailed reports, logs and screenshots Configure location, language and application data Integrate with existing development workflow AWS Device Farm Test your app on real smartphones and tablets in the AWS Cloud
  158. 158. CONNECT EVERY THING
  159. 159. Eventually every thing that draws a current will be connected
  160. 160. Eventually every thing that draws a current will be connected SENSO RS ACT UAT O RS
  161. 161. Extract value from device data Augment devices’ constrained onboard resources Augment devices’ constrained environments compute storage Big Data Shadow State Apps offline WHY CONNECT DEVICES TO THE CLOUD?
  162. 162. Run code in the cloud, and update it without deploying firmware updates Run code in the cloud, and take action in physical space through one or more devices Secure device data, even when the device operates in unsecured physical space. bidirectional policy WHY CONNECT DEVICES TO THE CLOUD?
  163. 163. Many SDKs & Tools Alternate Protocols Scalability Security & Management Integration with Cloud and Mobile Applications CONNECTING DEVICES TO CLOUD APPLICATIONS REQUIRES UNDIFFERENTIATED HEAVY LIFTING.
  164. 164. AWS IOT Securely connect one or one-billion devices to AWS, so they can interact with applications and other devices
  165. 165. AWS IOT DEVICE SDK Set of client libraries to connect, authenticate and exchange messages DEVICE GATEWAY Communicate with devices via MQTT and HTTP AUTHENTICATION AUTHORIZATION Secure with mutual authentication and encryption RULES ENGINE Transform messages based on rules and route to AWS Services AWS Services - - - - - 3P Services DEVICE SHADOW Persistent thing state during intermittent connections APPLICATIONS AWS IoT API DEVICE REGISTRY Identity and Management of your things
  166. 166. The Patterns of Success NEW APPLICATIONS
  167. 167. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY AMAZON S3 SIMPLE BY NAME, SIMPLE BY NATURE
  168. 168. AMAZON S3 BUILDING BLOCKS FOR INTERNET-SCALEAPPS STORAGE
  169. 169. CAN WE APPLY THE SAME APPROACH TO ALL APPLICATION COMPONENTS?
  170. 170. AMAZON S3 BUILDING BLOCKS FOR INTERNET-SCALEAPPS STORAGE AMAZON DYNAMODB DATA STORE
  171. 171. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY AMAZON DYNAMODB: AN INTERNET SCALE DATA STORE
  172. 172. OVER 200 MILLION USERSOVER 4 BILLION ITEMS STORED MILLIONS OF ADS PER MONTH 130+ MILLION NEW USERS IN 1 YEAR 150+ MILLION MESSAGES PER MONTH STATCAST USES BURST SCALABILITY FOR MANY GAMES ON A SINGLE DAY OVER 5 BILLION ITEMS OVER 200 MILLION MESSAGES PROCESSED DAILY COGNITIVE TRAINING 5+ MILLION REGISTERED USERS WEARABLE AND IOT SOLUTIONS GAMING COMPANY WITH 70 MILLION ACTIVE USERS
  173. 173. AMAZON S3 BUILDING BLOCKS FOR INTERNET-SCALEAPPS STORAGE AWS LAMBDA COMPUTE AMAZON DYNAMODB DATA STORE
  174. 174. Virtual Machines Containers Functions
  175. 175. SIMPLICITY SCALABILITY LOW COST RELIABILITY LOW LATENCY AWS LAMBDA: A SERVERLESS COMPUTE PLATFORM
  176. 176. AWS LAMBDA: INTERNET-SCALE COMPUTE PLATFORM DEPLOY YOUR CODE IN SECONDS SUB-SECOND METERING NO SERVERS TO PROCURE, PROVISION OR MANAGE
  177. 177. MOBILE CHAT APP AD DATA ANALYTICS AND ROUTING MOBILE APP ANALYTICS IMAGE CONTENT FILTERING REAL-TIME VIDEO AD BIDDING NEWS CONTENT PROCESSING GENE SEQUENCE SEARCH CLOUD TELEPHONY DATA PROCESSING WEB APPLICATIONS WEB APPLICATIONS THREAT INTELLIGENCE AND ANALYTICS NEWS CONTENT PROCESSING GAME METRICS ANALYTICS SERVERLESS WEB APPLICATIONS
  178. 178. THE TOOL OF CHOICE IN AWS ENVIRONMENTS CLOUDWATCH EVENTS LIFECYLCE HOOKS CONFIG RULES SCHEDULED JOBS ECOSYSTEM
  179. 179. APIS EMAIL MESSAGING NOTIFICATION MONITORING ENCRYPTION SERVICES NOT SERVERS: A BROAD SERVERLESS PLATFORM AMAZON S3 STORAGE AWS LAMBDA FUNCTIONS AMAZON DYNAMODB DATA STORE
  180. 180. Versioning Metering and throttling Caching Signing & authorization SDK generation Amazon API Gateway Create robust, scalable and secure APIs in minutes
  181. 181. Mobile Apps Websites Services Internet API Gateway API Gateway Cache CloudWatch EC2 Endpoints Lambda Functions Any Other Endpoint Amazon API Gateway
  182. 182. The Patterns of Success in the Cloud ANALYTICS DEV & TEST MIGRATING EXISTING WORKLOADS BETTER SECURITY HYPER CONNECTIVITY NEW APPLICATIONS
  183. 183. THE TECHNOLOGY PLATFORM OF CHOICE
  184. 184. There Has Never Been a Better Time to Build!
  185. 185. GO BUILD!

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