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AWS re:Invent 2016 recap (part 1)

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AWS re:Invent 2016 recap (part 1)

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AWS re:Invent 2016 recap (part 1)

  1. 1. A W S r e : I n v e n t r e : C a p Julien Simon Principal Technical Evangelist, AWS julsimon@amazon.fr @julsimon
  2. 2. Most Robust, Fully-Featured Technology Infrastructure Platform HYBRID ARCHITECTURE Data Backups Integrated App Deployments Direct Connect Identity Federation Integrated Resource Management Integrated Networking VMware Integration MARKETPLACE Business Apps Databases DevOps Tools NetworkingSecurity Storage Business Intelligence INFRASTRUCTURE Availability Zones Points of Presence Regions CORE SERVICES Compute VMs, Auto-scaling, Load Balancing, Containers, Cloud functions Storage Object, Blocks, File, Archivals, Import/Export Databases Relational, NoSQL, Caching, Migration CDN Networking VPC, DX, DNS Access Control Identity Management Key Management & Storage Monitoring & Logs SECURITY & COMPLIANCE Resource & Usage Auditing Configuration Compliance Web application firewall Assessment and reporting TECHNICAL & BUSINESS SUPPORT Support Professional Services Account Management Partner Ecosystem Solutions Architects Training & Certification Security & Billing Reports Optimization Guidance ENTERPRISE APPS Backup Corporate Email Sharing & Collaboration Virtual Desktops IoT Rules Engine Registry Device Shadows Device Gateway Device SDKs DEVELOPMENT & OPERATIONSMOBILE SERVICESAPP SERVICESANALYTICS Data Warehousing Hadoop/ Spark Streaming Data Collection Machine Learning Elastic Search Push Notifications Identity Sync Resource Templates One-click App Deployment Triggers Containers DevOps Resource Management Application Lifecycle Management API Gateway Transcoding Queuing & Notifications Email Workflow Search Streaming Data Analysis Business Intelligence Mobile Analytics Single Integrated Console Mobile App Testing Data Pipelines Petabyte-Scale Data Migration Database Migration Schema Conversion Application Migration MIGRATION
  3. 3. 516 0 250 500 750 1000 1250 2008 2009 2010 2011 2012 2013 2014 2015 2016 Pace Of Innovation: New Capabilities Daily Launches 24 ~1000 48 61 82 159 280 722
  4. 4. A Broad Spectrum Of Compute Capabilities In The AWS Cloud P2M4 D2 X1 G2T2 R3 I2 C4 General Purpose GPU General Purpose Dense storage Large memory Graphics intensiveMemory intensive High I/O Compute intensiveBurstable
  5. 5. Expanding The T2 Family With Larger Instance Types Generally Available Today T2.large 8 GiB 2 vCPU T2.xlarge 16 GiB 4 vCPU T2.2xlarge 32 GiB 8 vCPU 2X memory 4X memory T2.medium 4 GiB 2 vCPU T2.small 2 GiB 1 vCPU T2.micro 1 GiB 1 vCPU T2.nano 0.5GiB 1 vCPU
  6. 6. R4: Next Generation Memory-Optimized Instances 488 GiB memory DDR4 64 vCPUs L3 cache R4 2X vCPUs R3 244 GiB memory DDR3 32 vCPUs L3 cache Generally Available Today 1.8X size 2X fast 2X memory High performance databases Distributed memory caches In-memory analytics Genome analysis
  7. 7. I2 365k IOPS 32 vCPUs I3: Next Generation I/O-Intensive Instances 3.3 million IOPS 488 GiB memory 64 vCPUs 15.2 TB NVMe SSD I3 2X vCPUs 2X memory 2.3X storage 9X IOPS Coming Soon NoSQL databases (Cassandra and MongoDB) Scale out transactional databases Data warehousing Hadoop Cluster file systems 244 GiB memory 6.4 TB SSD
  8. 8. C5: Next Generation Compute-Optimized Instances with Intel “Skylake” AVX 512 2X performance Coming Soon 72 vCPUs “Skylake” 144 GiB memory C5 12 Gbps to EBS 2.4X memory 3X throughput 2X vCPUs C4 36 vCPUs “Haswell” 60 GiB memory 4 Gbps to EBS
  9. 9. A Broad Spectrum Of Compute Capabilities In The AWS Cloud P2M4 D2 X1 G2T2 R4 I3 C5 General Purpose GPU General Purpose Dense storage Large memory Graphics intensiveMemory intensive High I/O Compute intensiveBurstable
  10. 10. Elastic GPUs For EC2 Use Graphics GPUs As If They Were EBS Volumes Preview Available Today
  11. 11. Elastic GPUs For EC2: GPU Acceleration For Graphics Workloads 1GiB GPU Memory 2 GiB 4 GiB 8 GiB Current Generation EC2 Instance
  12. 12. Simple Workloads Often Have Simple Requirements Web sites Blogs Dev Environment Prototyping Build Servers VPC networking Subnets IAM policies Storage Security groups
  13. 13. Amazon Lightsail Virtual Private Servers (VPS) Made Easy Generally Available Today
  14. 14. 1. Choose Image 2. Select Size 3. Pick A Name Amazon Lightsail: VPS Made Easy on AWS Two flavors of Linux, Wordpress, Magneto, Drupal, Joomla and other popular tools Up To 8GiB, 2 vCPUs, 80GiB SSD Click ‘Create instance’, and you’re done.
  15. 15. $5 Per month Amazon Lightsail: VPS Made Easy on AWS Launch VM Attach SSD Storage Create Security Groups Manage IAM Create Static IP Create Instance Created By Amazon Lightsail Setup DNS GO!
  16. 16. What About Hardware Acceleration?
  17. 17. F1 Instances New Instance Family With Customizable Field Programmable Gate Arrays Run Your Custom Logic On EC2 Preview Available Today
  18. 18. Bringing Hardware Acceleration To All F1 Instances F1 Instance With your custom logic running on an FPGA Develop, simulate, debug & compile your code Package as FPGA Images FPGA Images Available In AWS Marketplace
  19. 19. We Love Ourselves Some Compute General Purpose GPU General Purpose Dense storage Large memoryBurstable Memory intensive High I/O Compute intensive Simple VPS FPGAs P2M4 D2 X1 G2T2 R4 I3 C5Lightsail F1 Graphics intensive Elastic GPUs On EC2
  20. 20. The Ability to Understand Your Customers And Business Better Through Analytics Real-time streaming data Data Warehouse Hadoop, Spark, HBase, Hive, Presto, Mahout, Pig, Zeppelin Elasticsearch Business Intelligence Machine Learning Amazon Kinesis Amazon Redshift Amazon EMR Amazon Elasticsearch Amazon QuickSight Amazon Machine Learning
  21. 21. Making Petabyte-scale Analytics Accessible To Companies Of All Sizes Data Warehouse Amazon Redshift Hadoop, Spark & Presto Amazon EMR Ad-hoc queries against S3 Without spinning up clusters of instances
  22. 22. Amazon Athena Interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL Generally Available Today
  23. 23. Amazon Athena: Interactive Queries On Data In S3 No need to move data to Athena Query S3 directly & right away No infrastructure or clusters to setup & manage Fast results within seconds Pay for just the queries you run
  24. 24. Introducing Amazon AI Bringing Powerful Artificial Intelligence To All Developers
  25. 25. Amazon Rekognition Image Recognition And Analysis Powered By Deep Learning Generally Available Today 1
  26. 26. Amazon Rekognition: Images In, Categories and Facial Analysis Out Amazon Rekognition Car Outside Daytime Driving Objects & Scenes Female Smiling Sunglasses Faces
  27. 27. Amazon Rekognition: Recognize, Search & Understand Images Easy to use Batch analysis Real time analysis Low costContinually improving
  28. 28. Amazon Polly Text To Speech Powered By Deep Learning Generally Available Today 2
  29. 29. Amazon Polly: Text In, Life-like Speech Out Amazon Polly “The temperature in WA is 75°F” “The temperature in Washington is 75 degrees Fahrenheit”
  30. 30. Amazon Polly: Text In, Life-like Speech Out Returns an MP3 audio stream Unlimited replay Fully managedLightning fast responses
  31. 31. Amazon ALEXA (It’s what’s inside Alexa) Preview Available Today 3 Natural Language Understanding (NLU) & Automatic Speech Recognition (ASR) Powered By Deep Learning Natural Language Understanding (NLU) & Automatic Speech Recognition (ASR) Powered By Deep Learning
  32. 32. Amazon Lex: Speech Recognition & Natural Language Understanding Amazon Lex Automatic Speech Recognition Natural Language Understanding “What’s the weather forecast?” Weather Forecast
  33. 33. Amazon Lex: Speech Recognition & Natural Language Understanding Amazon Lex Automatic Speech Recognition Natural Language Understanding “What’s the weather forecast?” “It will be sunny and 75°F” Weather Forecast
  34. 34. Amazon Lex: Build Natural, Conversational Interactions In Voice & Text Integrated development in the AWS console Fully managed Trigger Lambda functions Continually improving ASR & NLU models Enterprise connectors Multi-step conversations
  35. 35. Migrating Databases To AWS 14,000+ databases migrated Migrate between on-prem and AWS Migrate between databases Automated schema conversion Data replication for zero downtime migrations
  36. 36. PostgreSQL For Aurora Aurora is now fully compatible with both PostgreSQL and MySQL Preview Available Today
  37. 37. Amazon Aurora PostgreSQL-Compatible Edition 1/10th The Cost Of Commercial Grade Databases Fully PostgreSQL Compatible Several times better performance than typical PostgreSQL database Scalable, Durable and Secure Migrate From RDS For PostgreSQL
  38. 38. What Constitutes On-Premises Infrastructure? Sensors & IoT Devices Physical Servers In Data Centers
  39. 39. Challenges Of Devices Living On The Edge Round-trip latency Intermittent connectivity Expensive bandwidth Programming and updating embedded software needs specialized skills Limited to what is on the device unless you rewrite or program the device
  40. 40. AWS Greengrass Embed Lambda Compute (& Other AWS Services) in Connected Devices Preview Available Today Use The Same AWS Programming Model In Devices And The Cloud
  41. 41. AWS Greengrass: Local Compute, Messaging & Data Caching Local compute Local data caching Secure communications Local messaging
  42. 42. AWS Greengrass: How It Works Built into devices at manufacture Install the Greengrass runtime Lambda functions on AWS & devices Manage from AWS Console Same programming model Local communication and orchestration
  43. 43. Excitement for Amazon Greengrass From Partners & Customers Operating Systems, Devices, & System-On-A-Chip IoT Products & Deployments
  44. 44. AWS Snowball Edge A New Hybrid Device With On-Board Storage & Compute Generally Available Today
  45. 45. AWS Snowball Edge: Petabyte-Scale Data Transport, With On-board Compute E-ink shipping label Rugged enclosure Color control touchscreen Rack mountable Integrated cable housing 100TB capacity On-device encryption
  46. 46. Clustering capabilities 100 TB storage S3 endpoint Greengrass inside Lambda on m4.4xl equivalent Automatic sharing across devices AWS Snowball Edge: Petabyte-Scale Data Transport, With On-board Compute
  47. 47. AWS Snowmobile Generally Available Today Introducing
  48. 48. AWS Snowmobile: 100PB Container 45-foot long rugged container & truck Connect to your datacenter with fiber cable Fill ‘er Up! Transports Data To AWS
  49. 49. AWS Snowmobile: Exabyte-Scale Data Transport With 10Gbps, dedicated connection ~6 months With AWS Snowmobile(s) ~26 years
  50. 50. https://aws.amazon.com/fr/blogs/aws/new-t2-xlarge-and-t2-2xlarge-instances/ https://aws.amazon.com/fr/blogs/aws/ec2-instance-type-update-t2-r4-f1-elastic-gpus-i3-c5/ https://aws.amazon.com/fr/blogs/aws/new-next-generation-r4-memory-optimized-ec2-instances/ https://aws.amazon.com/fr/blogs/aws/in-the-work-amazon-ec2-elastic-gpus/ https://aws.amazon.com/fr/blogs/aws/amazon-lightsail-the-power-of-aws-the-simplicity-of-a-vps/ https://aws.amazon.com/fr/blogs/aws/developer-preview-ec2-instances-f1-with-programmable-hardware/ https://aws.amazon.com/fr/blogs/aws/amazon-athena-interactive-sql-queries-for-data-in-amazon-s3/ https://aws.amazon.com/blogs/aws/amazon-rekognition-image-detection-and-recognition-powered-by-deep-learning/ https://aws.amazon.com/fr/blogs/aws/polly-text-to-speech-in-47-voices-and-24-languages/ https://aws.amazon.com/fr/blogs/aws/amazon-lex-build-conversational-voice-text-interfaces/ https://aws.amazon.com/fr/blogs/aws/amazon-aurora-update-postgresql-compatibility/ https://aws.amazon.com/blogs/aws/aws-greengrass-ubiquitous-real-world-computing/ https://aws.amazon.com/blogs/aws/aws-snowball-edge-more-storage-local-endpoints-lambda-functions/ https://aws.amazon.com/fr/blogs/aws/aws-snowmobile-move-exabytes-of-data-to-the-cloud-in-weeks/ http://blog.julien.org/2016/11/a-hands-on-look-at-amazon-rekognition.html http://blog.julien.org/2016/12/amazon-polly-hello-world-literally.html
  51. 51. AWS re:Invent 2016: NEW LAUNCH! Delivering Graphics-Intensive Applications from AWS Cloud (CMP320) https://www.youtube.com/watch?v=MSVe8L6Mmjs AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Lightsail (CMP206) https://www.youtube.com/watch?v=lpBRxoNrhhc AWS re:Invent 2016: NEW LAUNCH! Intro to Amazon Athena - Analyze data in S3, using SQL (BDA303) https://www.youtube.com/watch?v=DxAuj_Ky5aw AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Rekognition (MAC203) https://www.youtube.com/watch?v=fk-TxySUAzw AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Polly (MAC204) https://www.youtube.com/watch?v=zjMqimHis3U AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Lex (MAC304) https://www.youtube.com/watch?v=I5OlTMLinio AWS re:Invent 2016: NEW LAUNCH! Introducing Amazon Aurora PostgreSQL-Compatible Edition (DAT206) https://www.youtube.com/watch?v=ztmtJJTC8_Y AWS re:Invent 2016: NEW LAUNCH! Introducing AWS Greengrass (IOT201) https://www.youtube.com/watch?v=XQQjX8GTEko AWS re:Invent 2016: NEW LAUNCH! Introducing AWS Snowball Edge and AWS Snowmobile (STG214) https://www.youtube.com/watch?v=z8-DeSuKf9I
  52. 52. Thank You re:Invent 2016 Julien Simon Principal Technical Evangelist, AWS julsimon@amazon.fr @julsimon

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