AWS re:Invent re:Cap Tour de France 2019

AWS re:Invent re:Cap Tour de France 2019

This is the slide deck used during the AWS re:Invent re:Cap in France 2019 / 2020

https://aws.amazon.com/fr/blogs/france/reinvent-2019-recap-tour/

Transcript

  1. F ra n ce Sébastien Stormacq Developer Advocate, AWS @sebsto

  2. Please fasten your seatbelts! https://aws.amazon.com/new/reinvent/ https://sebs.to/recap2019

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  4. Agenda • AI/ML • Compute • Storage • Database &

    Analytics • Security • Networking • Developers • Regions & Availability Zones 77
  5. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  6. Pre:Invent highlights https://aws.amazon.com/about-aws/whats-new/machine-learning • Amazon Comprehend: 6 new languages •

    Amazon Translate: 22 new languages • Amazon Transcribe: 15 new languages, alternative transcriptions • Amazon Lex: SOC compliance, sentiment analysis, web & mobile integration with Amazon Connect • Amazon Personalize: batch recommendations • Amazon Forecast: use any quantile for your predictions With region expansion across the board!
  7. Speech Recognition For Healthcare

  8. Introducing Amazon Transcribe Medical Easy-to-Use Accurate Affordable

  9. Custom Image Models

  10. Introducing Amazon Rekognition Custom Labels • Import images labeled by

    Amazon SageMaker Ground Truth… • Or label images automatically based on folder structure • Train a model on fully managed infrastructure • Split the data set for training and validation • See precision, recall, and F1 score at the end of training • Select your model • Use it with the usual Rekognition APIs
  11. Human In the Loop

  12. Customers are forced to choose ML only systems are high

    speed and low cost, but do not support nuanced decision making Human only workflows offer nuanced decision making, but they’re low speed and high cost. OR
  13. Customers need + Machine Learning and humans working together

  14. A2I lets you easily implement human review in machine learning

    workflows to improve the accuracy, speed, and scale of complex decisions. Introducing Amazon Augmented AI (A2I)
  15. How Amazon Augmented AI works Client application sends input data

    AWS AI Service or custom ML model makes predictions Results stored to your S3 1 2 4 Low confidence predictions sent for human review 3 High-confidence predictions returned immediately to client application 5 Amazon Rekognition Amazon Textract
  16. Human Review Workforces Amazon Mechanical Turk An on-demand 24x7 workforce

    of over 500,000 independent contractors worldwide, powered by Amazon Mechanical Turk Private A team of workers that you have sourced yourself, including your own employees or contractors for handling data that needs to stay within your organization Vendors A curated list of third-party vendors that specialize in providing data labeling services, available via de AWS Marketplace
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  18. Fraud Detection

  19. Introducing Amazon Fraud Detector A fraud detection service that makes

    it easy for businesses to use machine learning to detect online fraud in real-time, at scale
  20. Amazon Fraud Detector – Key Features Pre-built fraud detection model

    templates Automatic creation of custom fraud detection models Models learn from past attempts to defraud Amazon Amazon SageMaker integration One interface to review past evaluations and detection logic
  21. Amazon Fraud Detector – Automated Model Building 1 2 4

    5 Training data in S3 6 3
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  23. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  24. Pre:Invent highlights https://aws.amazon.com/about-aws/whats-new/machine-learning • Invoke Amazon SageMaker models in Amazon

    Quicksight • Invoke Amazon SageMaker models in Amazon Aurora • Deploy many models on the same Amazon SageMaker endpoint
  25. Fully managed infrastructure in SageMaker Introducing Amazon SageMaker Operators for

    Kubernetes Kubernetes customers can now train, tune, & deploy models in Amazon SageMaker
  26. Introducing Amazon SageMaker Studio The first fully integrated development environment

    (IDE) for machine learning Organize, track, and compare thousands of experiments Easy experiment management Share scalable notebooks without tracking code dependencies Collaboration at scale Get accurate models for with full visibility & control without writing code Automatic model generation Automatically debug errors, monitor models, & maintain high quality Higher quality ML models Code, build, train, deploy, & monitor in a unified visual interface Increased productivity
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  28. Introducing Amazon SageMaker Notebooks Access your notebooks in seconds with

    your corporate credentials Fast-start shareable notebooks Administrators manage access and permissions Share your notebooks as a URL with a single click Dial up or down compute resources Start your notebooks without spinning up compute resources
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  30. Introducing Amazon SageMaker Processing Analytics jobs for data processing and

    model evaluation Use SageMaker’s built-in containers or bring your own Bring your own script for feature engineering Custom processing Achieve distributed processing for clusters Your resources are created, configured, & terminated automatically Leverage SageMaker’s security & compliance features
  31. Introducing Amazon SageMaker Experiments Experiment tracking at scale Visualization for

    best results Flexibility with Python SDK & APIs Iterate quickly Track parameters & metrics across experiments & users Organize experiments Organize by teams, goals, & hypotheses Visualize & compare between experiments Log custom metrics & track models using APIs Iterate & develop high- quality models A system to organize, track, and evaluate training experiments
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  33. Automatic data analysis Relevant data capture Automatic error detection Improved

    productivity with alerts Visual analysis and debug Introducing Amazon SageMaker Debugger Analyze and debug data with no code changes Data is automatically captured for analysis Errors are automatically detected based on rules Take corrective action based on alerts Visually analyze & debug from SageMaker Studio Analysis & debugging, explainability, and alert generation
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  35. Introducing Amazon SageMaker Model Monitor Automatic data collection Continuous Monitoring

    CloudWatch Integration Data is automatically collected from your endpoints Automate corrective actions based on Amazon CloudWatch alerts Continuous monitoring of models in production Visual Data analysis Define a monitoring schedule and detect changes in quality against a pre-defined baseline See monitoring results, data statistics, and violation reports in SageMaker Studio Flexibility with rules Use built-in rules to detect data drift or write your own rules for custom analysis
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  37. Introducing Amazon SageMaker Autopilot Quick to start Provide your data

    in a tabular form & specify target prediction Automatic model creation Get ML models with feature engineering & automatic model tuning automatically done Visibility & control Get notebooks for your modelswith source code Automatic model creation with full visibility & control Recommendations & Optimization Get a leaderboard & continue to improve your model
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  39. AWS DeepRacer improvements • AWS DeepRacer Evo • Stereo camera

    • LIDAR sensor • New racing opportunities • Create your own races • Object Detection & Avoidance • Head-to-head racing
  40. AWS DeepComposer • The world’s first machine learning-enabled musical keyboard

    • Compose music using Generative Adversarial Networks (GAN) • Use a pretrained model, or train your own
  41. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  42. Speech & Text Analytics For Contact Centers

  43. Challenges in contact centers • Better visibility into quality of

    customer interactions • Cost prohibitive • Timely discovery of emerging issues • Support for live calls • End user experience
  44. Introducing Contact Lens For Amazon Connect Theme detection Built-in automatic

    call transcription Automated contact categorization Enhanced Contact Search Real-time sentiment dashboard and alerting Presents recurring issues based on Customer feedback Identify call types such as script compliance, competitive mentions, and cancellations. Filter calls of interest based on words spoken and customer sentiment View entire call transcript directly in Amazon Connect Quickly identify when customers are having a poor experience on live calls Easily use the power of machine learning to improve the quality of your customer experience without requiring any technical expertise
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  47. Improving code quality

  48. Typical Application Build and Run Process Write + Review Build

    + Test Deploy Measure Improve 1. Code Reviews require expertise in multiple areas such as knowledge of AWS APIs, Concurrency, etc. 2. Code analyzer tools require high accuracy. 3. Distributed Cloud application are difficult to optimize. 4. Performance engineering expertise is hard to find.
  49. Introducing AWS CodeGuru Built-in code reviews with intelligent recommendations Detect

    and optimize expensive lines of code before production Easily identify latency and performance improvements production environment CodeGuru Reviewer CodeGuru Profiler
  50. CodeGuru Reviewer: How It Works Input: Source Code Feature Extraction

    Machine Learning Output: Recommendations Customer provides source code as input Java AWS CodeCommit Github Extract semantic features / patterns ML algorithms identify similar code for comparison Customers see recommendations as Pull Request feedback
  51. CodeGuru Example – Looping vs Waiting do { DescribeTableResult describe

    = ddbClient.describeTable(new DescribeTableRequest().withTableName(tableName)); String status = describe.getTable().getTableStatus(); if (TableStatus.ACTIVE.toString().equals(status)) { return describe.getTable(); } if (TableStatus.DELETING.toString().equals(status)) { throw new ResourceInUseException("Table is " + status + ", and waiting for it to become ACTIVE is not useful."); } Thread.sleep(10 * 1000); elapsedMs = System.currentTimeMillis() - startTimeMs; } while (elapsedMs / 1000.0 < waitTimeSeconds); throw new ResourceInUseException("Table did not become ACTIVE after "); This code appears to be waiting for a resource before it runs. You could use the waiters feature to help improve efficiency. Consider using TableExists, TableNotExists. For more information, see https://aws.amazon.com/blogs/developer/waiters-in-the-aws-sdk-for-java/ Recommendation Code We should use waiters instead - will help remove a lot of this code. Developer Feedback
  52. CodeGuru Profiler: How It Works Input: Live application stack trace

    Application profile sampling Pattern matching Output: Method names, Recommendations and searchable visualizations Customer application runs in production CodeGuru Profiler continuously captures application stack trace information CodeGuru Profiler detects performance inefficiencies in the live application Customers see recommendations in their automated efficiency reports and visualizations Amazon Confidential
  53. CodeGuru Profiler – Example

  54. CodeGuru Profiler Visualization – Hotspots Java.util.zip.Deflator.deflateBytes 61% LCMS.colorEvent 6% JPEGImageReader.readImage

    5%
  55. Enterprise Search

  56. Employees spend 20% of their time looking for information. —McKinsey

    20% 44% 44% of the time, they cannot find the information they need to do their job. —IDC
  57. Introducing Kendra Easy to find what you are looking for

    Fast search, and quick to set up Native connectors (S3, Sharepoint, file servers, HTTP, etc.) Natural language Queries NLU and ML core Simple API and console experiences Code samples Incremental learning through feedback Domain Expertise
  58. Kendra connectors …and more coming in 2020

  59. Getting started with Kendra Step 1 Create an index An

    index is the place where you add your data sources to make them searchable in Kendra. Step 2 Add data sources Add and sync your data from S3, Sharepoint, Box and other data sources, to your index. Step 3 Test & deploy After syncing your data, visit the Search console page to test search & deploy Kendra in your search application.
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  62. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  63. Introducing Amazon EC2 Inferentia • Fast, low-latency inferencing at a

    very low cost • 64 teraOPS on 16-bit floating point (FP16 and BF16) and mixed-precision data. • 128 teraOPS on 8-bit integer (INT8) data. • Neuron SDK: https://github.com/aws/aws-neuron-sdk • Available in Deep Learning AMIs and Deep Learning Containers • TensorFlow and Apache MXNet, PyTorch coming soon Instance Name Inferentia Chips vCPUs RAM EBS Bandwidth inf1.xlarge 1 4 8 GiB Up to 3.5 Gbps inf1.2xlarge 1 8 16 GiB Up to 3.5 Gbps inf1.6xlarge 4 24 48 GiB 3.5 Gbps inf1.24xlarge 16 96 192 GiB 14 Gbps
  64. Deep Graph Library https://www.dgl.ai • Python open source library that

    helps researchers and scientists quickly build, train, and evaluate Graph Neural Networks on their data sets • Use cases: recommendation, social networks, life sciences, cybersecurity, etc. • Available in Deep Learning Containers • PyTorch and Apache MXNet, TensorFlow coming soon • Available for training on Amazon SageMaker
  65. Deep Java Library https://www.djl.ai • Java open source library, to

    train and deploy models • Framework agnostic • Apache MXNet for now, more will come • Train your own model, or use a pretrained one from the model zoo
  66. Enjoy! Build cool stuff, and please send us feedback!

  67. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  68. Amazon Confidential Amazon EC2 Inf1 Instances Introducing The fastest and

    lowest cost machine learning inference in the cloud Featuring AWS Inferentia, the first custom ML chip designed by AWS Inf1 delivers up to 3X higher throughput and up to 40% lower cost per inference compared to GPU powered G4 instances Compute General Availability – December 3 L E A R N M O R E CMP324-R: Deliver high performance ML inference with AWS Inferentia Wednesday, 7pm, Aria Natural language processing Personalization Object detection Speech recognition Image processing Fraud detection
  69. Amazon Confidential AWS Graviton2 Processor Introducing Enabling the best price/performance

    for your cloud workloads Graviton1 Processor Graviton2 Processor DRAFT Compute Preview – December 3 L E A R N M O R E CMP322-R: Deep dive on EC2 instances powered by AWS Graviton Wednesday 9:15am, MGM
  70. Amazon Confidential AWS Graviton2 Based Instances Introducing Up to 40%

    better price-performance for general purpose, compute intensive, and memory intensive workloads. l M6g C6g R6g DRAFT Built for: General-purpose workloads such as application servers, mid-size data stores, and microservices Instance storage option: M6gd Built for: Compute intensive applications such as HPC, video encoding, gaming, and simulation workloads Instance storage option: C6gd Built for: Memory intensive workloads such as open-source databases, or in-memory caches Instance storage option: R6gd Compute Preview – December 3 L E A R N M O R E CMP322-R: Deep dive on EC2 instances powered by AWS Graviton Wednesday 9:15am, MGM
  71. Amazon Confidential Amazon Braket Introducing Fully managed service that makes

    it easy for scientists and developers to explore and experiment with quantum computing. DRAFT Quantum Technology Preview – December 2 LEARN MORE CMP213: Introducing Quantum Computing with AWS Wednesday 11:30am, Venetian
  72. Amazon Confidential AWS Nitro Enclaves Introducing Create additional isolation to

    further protect highly sensitive data within EC2 instances Nitro Hypervisor Instance A Enclave A Instance B EC2 Host Additional isolation within an EC2 instance Isolation between EC2 instances in the same host Local socket connection DRAFT Compute Preview – December 3
  73. Amazon Confidential AWS Compute Optimizer Introducing Identify optimal Amazon EC2

    instances and EC2 Auto Scaling group for your workloads using a ML-powered recommendation engine DRAFT Management Tools General Availability – December 3 LEARN MORE CMP323: Optimize Performance and Cost for Your AWS Compute Wednesday, 10:45am, MGM
  74. Amazon Confidential AWS Compute Optimizer

  75. Amazon Confidential Receive lower rates automatically. Easy to use with

    recommendations in AWS Cost Explorer Significant savings of up to 72% Flexible across instance family, size, OS, tenancy or AWS Region; also applies to AWS Fargate & soon to AWS Lambda usage Compute/Cost Management LEARN MORE CMP210: Dive deep on Savings Plans Wednesday, 5:30pm Announced – November 6 Simplify purchasing with a flexible pricing model that offers savings of up to 72% on Amazon ECS, AWS Fargate & AWS Lambda usage Savings Plans
  76. Amazon Confidential DRAFT Containers General Availability – December 3 LEARN

    MORE CON-326R - Running Kubernetes Applications on AWS Fargate Wednesday, 4pm, Aria Thursday, 1:45pm, MGM Introducing The only way to run serverless Kubernetes containers securely, reliably, and at scale Amazon EKS for AWS Fargate
  77. Amazon Confidential Spare capacity with savings up to 70% off

    of Fargate standard pricing Improved scalability, reduced operational cost to run containers Containers New Features Accelerating momentum for AWS container services
  78. Amazon Confidential Build and maintain secure OS images more quickly

    & easily Introducing DRAFT Compute General Availability – December 3 EC2 Image Builder
  79. Amazon Confidential AWS License Manager - Simplified Windows & SQL

    Server BYOL New Feature DRAFT Compute General Availability – December 1 • Bring your eligible Windows and SQL BYOL Licenses to AWS • Leverage existing licensing investments to save costs • Automate ongoing management of EC2 Dedicated Hosts Simplified Management Elasticity of EC2 for Dedicated Hosts with AWS License Manager Integration (New) Windows BYOL • B A • L • A LEARN MORE WIN201 - Leadership session: Five New Features of Microsoft and .NET on AWS that you want to learn Tuesday, 4pm, MGM
  80. Amazon Confidential Introducing DRAFT Compute General Availability – December 1

    Helps customers upgrade legacy applications to run on newer, supported versions of Windows Server without any code changes Future-proof Reduced risk Cost-effective Improved security posture on supported, new OS Isolate old runtimes Compliance with industry regulations No application refactoring or recoding cost No extended support costs Decouple from underlying OS Low risk of failure on subsequent OS updates Supports all OS version Reduced operating costs AWS End of support Migration Program for Windows Server
  81. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  82. Amazon Confidential 15 new capabilities on data availability, security, protection,

    and cost optimization across the storage portfolio DRAFT Storage Announcement – November 20 SERVICE ANNOUNCEMENTS Amazon S3 Replication Time Control Amazon EBS Fast Snapshot Restore (FSR) Amazon FSx for Windows File Server Multi-AZ deployment option; Data Deduplication; User Quotas; Programmatic Share Management; Support for smaller file systems; Support for High Availability SQL Server deployments; Fine-grained control of in-transit encryption AWS Storage Gateway High Availability for VMware; Performance increase for Tape and File Gateway AWS DataSync 68% price reduction; Task Scheduling; Expansion to 5 additional AWS regions Amazon EFS Now available in all commercial AWS regions except China regions
  83. Amazon Confidential Amazon S3 Access Points Introducing Simplify managing data

    access at scale for applications using shared data sets on Amazon S3. Easily create hundreds of access points per bucket, each with a unique name and permissions customized for each application. DRAFT Storage General Availability – December 3
  84. Amazon Confidential EBS Direct APIs for Snapshots Introducing A simple

    set of APIs that provide access to directly read EBS snapshot data, enabling backup providers to achieve faster backups for EBS volumes at lower costs. L E A R N M O R E CMP305-R: Amazon EBS snapshots: What’s new, best practices, and security Thursday,1:00pm, MGM Up to 70% faster backup times More granular recovery point objectives (RPOs) Lower cost backups Amazon Confidential Compute Easily track incremental block changes on EBS volumes to achieve: General Availability – December 3
  85. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  86. Amazon Confidential Amazon Managed Apache Cassandra Service Introducing A scalable,

    highly available, and serverless Apache Cassandra–compatible database service. Run your Cassandra workloads in the AWS cloud using the same Cassandra application code and developer tools that you use today. Apache Cassandra- compatible Performance at scale Highly available and secure No servers to manage DRAFT Databases Preview – December 3 LEARN MORE DAT324: Overview of Amazon Managed Apache Cassandra Service
  87. Amazon Confidential DRAFT Databases Announced – November 26 Amazon Aurora

    Machine Learning Integration Simple, optimized, and secure Aurora, SageMaker, and Comprehend (in preview) integration. Add ML-based predictions to databases and applications using SQL, without custom integrations, moving data around, or ML experience.
  88. Amazon Confidential Amazon RDS Proxy Introducing Fully managed, highly available

    database proxy feature for Amazon RDS. Pools and shares connections to make applications more scalable, more resilient to database failures, and more secure. DRAFT Databases Public Beta – December 3 LEARN MORE DAT368: Setting up database proxy servers with RDS Proxy
  89. Amazon Confidential UltraWarm for Amazon Elasticsearch Service Introducing A low

    cost, scalable warm storage tier for Amazon Elasticsearch Service. Store up to 10 PB of data in a single cluster at 1/10th the cost of existing storage tiers, while still providing an interactive experience for analyzing logs. DRAFT Analytics Public Beta – December 3 LEARN MORE ANT229: Scalable, secure, and cost-effective log analytics
  90. Amazon Confidential DRAFT Analytics Amazon Redshift RA3 instances with Managed

    Storage Optimize your data warehouse costs by paying for compute and storage separately General Availability – December 3 L E A R N M O R E ANT213-R1: State of the Art Cloud Data Warehousing ANT230: Amazon Redshift Reimagined: RA3 and AQUA Wednesday, 10am, Venetian Delivers 3x the performance of existing cloud DWs 2x performance and 2x storage as similarly priced DS2 instances (on-demand) Automatically scales your DW storage capacity Supports workloads up to 8PB (compressed) COMPUTE NODE (RA3/i3en) SSD Cache S3 STORAGE COMPUTE NODE (RA3/i3en) SSD Cache COMPUTE NODE (RA3/i3en) SSD Cache COMPUTE NODE (RA3/i3en) SSD Cache Managed storage $/node/hour $/TB/month Introducing
  91. Amazon Confidential AQUA (Advanced Query Accelerator) for Amazon Redshift Introducing

    Redshift runs 10x faster than any other cloud data warehouse without increasing cost DRAFT Analytics Private Beta – December 3 LEARN MORE ANT230: Amazon Redshift Reimagined: RA3 and AQUA Wednesday, 10am, Venetian AQUA brings compute to storage so data doesn't have to move back and forth High-speed cache on top of S3 scales out to process data in parallel across many nodes AWS designed processors accelerate data compression, encryption, and data processing 100% compatible with the current version of Redshift S3 STORAGE AQUA ADVANCED QUERY ACCELERATOR RA3 COMPUTE CLUSTER
  92. Amazon Confidential Amazon Redshift Federated Query Analyze data across data

    warehouse, data lakes, and operational database New Feature DRAFT Analytics Public Beta – December 3 LEARN MORE ANT213-R1: State of the Art Cloud Data Warehousing Tuesday, 3pm, Bellagio
  93. Amazon Confidential Amazon Redshift Data Lake Export New Feature No

    other data warehouse makes it as easy to gain new insights from all your data. DRAFT Analytics General Availability – December 3 LEARN MORE ANT335R: How to build your data analytics stack at scale with Amazon Redshift Monday, 7pm, Venetian Tuesday, 11:30am, Aria
  94. Amazon Confidential AWS Data Exchange Quickly find diverse data in

    one place Efficiently access 3rd-party data Easily analyze data Reach millions of AWS customers Easiest way to package and publish data products Built-in security and compliance controls For Subscribers For Providers DRAFT Analytics Announced – November 13 L E A R N M O R E ANT238-R: AWS Data Exchange: Easily find & subscribe to third-party data in the cloud Thursday, 2:30pm, Venetian Easily find and subscribe to 3rd-party data in the cloud
  95. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  96. Amazon Confidential DRAFT Management Tools Announced – November 21 Identify

    unusual activity in your AWS accounts ü Save time sifting through logs ü Get ahead of issues before they impact your business CloudTrail Insights Introducing • Unexpected spikes in resource provisioning • Bursts of IAM management actions • Gaps in periodic maintenance activity L E A R N M O R E MGT420-R: CloudTrail Insights: Identify and Solve Operational Issues
  97. Amazon Confidential AWS Detective Introducing Quickly analyze, investigate, and identify

    the root cause of security findings and suspicious activities. Automatically distills & organizes data into a graph model Easy to use visualizations for faster & effective investigation Continuously updated as new telemetry becomes available Preview – December 3 DRAFT Security LEARN MORE SEC312: Introduction to Amazon Detective Thursday, 1:45pm, Venetian
  98. Amazon Confidential AWS IAM Access Analyzer Introducing Continuously ensure that

    policies provide the intended public and cross-account access to resources, such as Amazon S3 buckets, AWS KMS keys, & AWS Identity and Access Management roles. General Availability – December 2 DRAFT Security Uses automated reasoning, a form of mathematical logic, to determine all possible access paths allowed by a resource policy Analyzes new or updated resource policies to help you understand potential security implications Analyzes resource policies for public or cross-account access LEARN MORE SEC309: Deep Dive into AWS IAM Access Analyzer Thursday, 3:15pm, Venetian
  99. Amazon Confidential 1 Create or use existing identities, including Azure

    AD, and manage access centrally to multiple AWS accounts and business applications, for easy browser, command line, or mobile single sign-on access by employees. New Feature AWS Single Sign-On Announced – November 25 DRAFT Security LEARN MORE SEC308: Manage federated user permissions at scale with AWS SSO Thursday, 12:15pm, Venetian
  100. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  101. Amazon Confidential Existing Service DRAFT Networking Scale connectivity across thousands

    of Amazon VPCs, AWS accounts, and on-premises networks Amazon VPC Amazon VPC Amazon VPC Amazon VPC Customer gateway VPN connection AWS Direct Connect Gateway L E A R N M O R E NET203-L Leadership Session Networking Wednesday, 11:30am, MGM AWS Transit Gateway
  102. Amazon Confidential New Feature AWS Transit Gateway Inter-Region Peering General

    Availability – December 3 DRAFT Networking AWS TRANSIT GATEWAY Inter-Region Peering Build global networks by connecting transit gateways across multiple AWS Regions L E A R N M O R E NET203-L Leadership Session Networking Wednesday, 11:30am, MGM
  103. Amazon Confidential High availability and improved performance of site-to-site VPN

    New Feature AWS Accelerated Site-to-Site VPN General Availability – December 3 DRAFT Networking L E A R N M O R E NET203-L Leadership Session Networking Wednesday, 11:30am, MGM
  104. Amazon Confidential AWS Transit Gateway Network Manager Introducing General Availability

    – December 3 DRAFT Networking L E A R N M O R E NET212 - AWS Transit Gateway Network Manager
  105. Amazon Confidential New Feature Transit Gateway Multicast General Availability –

    December 3 DRAFT Networking Build and deploy multicast applications in the cloud L E A R N M O R E NET203-L Leadership Session Networking Wednesday, 11:30am, MGM
  106. Amazon Confidential New Feature Amazon VPC Ingress Routing General Availability

    – December 3 DRAFT Networking Route inbound and outbound traffic through a third party or AWS service L E A R N M O R E NET203-L Leadership Session Networking Wednesday, 11:30am, MGM
  107. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  108. Amazon Confidential L E A R N M O R

    E SVS401 - Optimizing your serverless applications Wednesday, 1:45pm, Mirage Thursday, 3:15pm, Venetian Provisioned Concurrency on AWS Lambda New Feature • Keeps functions initialized and hyper-ready, ensuring start times stay in the milliseconds • Builders have full control over when provisioned concurrency is set • No code changes are required to provision concurrency on functions in production • Can be combined with AWS Auto Scaling at launch DRAFT Serverless General Availability – December 3
  109. Amazon Confidential Achieve up to 67% cost reduction and 50%

    latency reduction compared to REST APIs. HTTP APIs are also easier to configure than REST APIs, allowing customers to focus more time on building applications. Reduce application costs by up to 67% Reduce application latency by up to 50% Configure HTTP APIs easier and faster than before HTTP APIs for Amazon API Gateway Introducing DRAFT Mobile Services Preview – December 4 L E A R N M O R E CON213-L - Leadership session: Using containers and serverless to accelerate modern application development (incl schema registry demo) Wednesday 9:15am, Venetian
  110. Amazon Confidential AWS Step Functions Express Workflows Introducing Orchestrate AWS

    compute, database, and messaging services at rates greater than 100,000 events/second, suitable for high-volume event processing workloads such as IoT data ingestion, streaming data processing and transformation. DRAFT App Integration General Availability – December 3 L E A R N M O R E API321: Event-Processing Workflows at Scale with AWS Step Functions Wednesday, 3:15pm, MGM
  111. Amazon Confidential Amazon EventBridge Schema Registry Introducing Store event structure

    - or schema - in a shared central location, so it’s faster and easier to find the events you need. Generate code bindings right in your IDE to represent an event as an object in code. DRAFT App Integration Preview – December 3 LEARN MORE CON213-L - Leadership session: Using containers and serverless to accelerate modern application development (incl schema registry demo) Wednesday 9:15am, Venetian
  112. Amazon Confidential Amplify for iOS & Android Introducing DRAFT Mobile

    Services General Availability – December 3 Open source libraries and toolchain that enable mobile developers to build scalable and secure cloud powered serverless applications. L E A R N M O R E MOB317 - Speed up native mobile development with AWS Amplify Wednesday, 11:30am, Venetian
  113. Amazon Confidential Amplify DataStore New Feature DRAFT Mobile Services General

    Availability – December 3 Multi-platform (iOS/Android/React Native/Web) on-device persistent storage engine that automatically synchronizes data between mobile/web apps and the cloud using GraphQL. L E A R N M O R E MOB402: Build data-driven mobile and web apps with AWS AppSync Wednesday, 2:30pm, Mirage
  114. © 2019, Amazon Web Services, Inc. or its affiliates. All

    rights reserved.
  115. Amazon Confidential What customers are doing with AWS IoT Remotely

    monitor patient health & wellness applications Manage energy resources more efficiently Enhance safety in the home, the office, and the factory floor Transform transportation with connected and autonomous vehicles Track inventory levels and manage warehouse operations Improve the performance and productivity of industrial processes Build smarter products & user experiences in homes, buildings, and cities Grow healthier crops with greater efficiencies
  116. Amazon Confidential Nine new features launched across AWS IoT, including

    eight on IoT Day, helping customers easily scale their IoT deployments. DRAFT Internet of Things Announcements – Nov 25/Dec 1 SERVICE NEW FEATURES AWS IoT Greengrass Stream Manager Container Support AWS IoT Core Fleet Provisioning Configurable Endpoints Custom Domains for Configurable Endpoints Custom Authorizer for MQTT Connections Alexa Voice Service (AVS) Integration AWS IoT Device Management Secure Tunneling AWS IoT SiteWise SiteWise Monitor AWS IoT Day
  117. Amazon Confidential Alexa Voice Service (AVS) Integration for IoT Core

    New Feature DRAFT Internet of Things Announced – November 25 Quickly and cost effectively go to market with Alexa built-in capabilities on new categories of products such as light switches, thermostats, and small appliances. Accelerate time to market with certified partner development kits that work with AVS Integration for IoT Core by default. Lowers the cost of integrating Alexa Voice up to 50% by reducing the compute and memory footprint required Build new categories of Alexa Built-in products on resource constrained devices (e.g. ARM ‘M' class microcontrollers with <1MB embedded RAM).
  118. Amazon Confidential Container Support for AWS IoT Greengrass New Feature

    DRAFT Internet of Things Announced – November 25 Deploy containers seamlessly to edge devices Move containers from the cloud to edge devices using AWS IoT Greengrass, without rewriting any code. Enables both Docker & AWS Lambda components to operate seamlessly together at the edge Use AWS IoT Greengrass Secrets Manager to manage credentials for private container registries.
  119. Amazon Confidential AWS Outposts Now Available Fully managed service that

    extends AWS infrastructure, AWS services, APIs, and tools to virtually any connected customer site. Truly consistent hybrid experience for applications across on-premises and cloud environments. Ideal for low latency or local data processing application needs. Same AWS-designed infrastructure as in AWS regional data centers (built on AWS Nitro System) delivered to customer facilities Fully managed, monitored, and operated by AWS as in AWS Regions Single pane of management in the cloud providing the same APIs and tools as in AWS Regions Compute General Availability – December 3 LEARN MORE CMP302-R: AWS Outposts: Extend the AWS experience to on-premises environments Wednesday at 11:30am, Aria Thursday at 3:15pm, Mirage Friday at 10:45am, Mirage
  120. Amazon Confidential

  121. Amazon Confidential Additional AWS Services Supported Locally on Outposts

  122. Amazon Confidential Local Zones Introducing Extend the AWS Cloud to

    more locations and closer to your end-users to support ultra low latency application use cases. Use familiar AWS services and tools and pay only for the resources you use. DRAFT Compute General Availability – December 3 The first Local Zone to be released will be located in Los Angeles.
  123. Amazon Confidential AWS Wavelength Introducing Embeds AWS compute and storage

    inside telco providers’ 5G networks. Enables mobile app developers to deliver applications with single-digit millisecond latencies. Pay only for the resources you use. DRAFT Compute Announcement – December 3
  124. Amazon Confidential AWS Wavelength Introducing Embeds AWS compute and storage

    inside telco providers’ 5G networks. Enables mobile app developers to deliver applications with single-digit millisecond latencies. Pay only for the resources you use. DRAFT Compute Announcement – December 3
  125. We just landed, you may unfasten your seat belt https://aws.amazon.com/new/reinvent/

    https://sebs.to/recap2019
  126. AWS plein les oreilles

  127. T h a n k y o u !