AWS New Services 2019 — What’s in Preview?

AWS New Services 2019


AWS Lake Formation

  • AWS Lake Formation makes it easy to set up a secure data lake in days.
  • Lake Formation collects and catalogs data from databases and object storage, moves the data into your new Amazon S3 data lake, cleans and classifies data using machine learning algorithms, and secures access to your sensitive data.
  • Benefits: build data lakes quickly, simplify security management, and make self-service access to data both easy and secure
  • Announced: November 2018 (at re:Invent)


Amazon Managed Blockchain

  • Amazon Managed Blockchain makes it easy to create and manage scalable blockchain networks
  • Fully managed
  • Automatically scales to meet the demands of thousands of applications running millions of transactions. Manages your certificates, lets you easily invite new members to join the network, and tracks operational metrics such as usage of compute, memory, and storage resources.
  • Can replicate an immutable copy of your blockchain network activity into Amazon Quantum Ledger Database (QLDB), a fully managed ledger database so you can easily analyze the network activity outside the network and gain insights into trends.
  • Announced: November 2018 (at re:Invent)

Amazon Quantum Ledger Database (QLDB)

  • Amazon QLDB is a ledger database that provides a transparent, immutable, and cryptographically verifiable transaction log ‎owned by a central trusted authority
  • Tracks each and every application data change and maintains a complete and verifiable history of changes over time
  • Benefits: immutable and transparent, cryptographically verifiable, highly scalable, serverless, easy to use.
  • Announced: November 2018 (at re:Invent)


AWS Outposts

  • AWS Outposts brings native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility.
  • Use the same APIs, same tools, same hardware, and same functionality across on-premises and the cloud to deliver a truly consistent hybrid experience.
  • Outposts can be used to support workloads that need to remain on-premises due to low latency or local data processing needs.
  • AWS Outposts come in two variants:
  • 1) VMware Cloud on AWS Outposts allows you to use the same VMware control plane and APIs you use to run your infrastructure
  • 2) AWS native variant of AWS Outposts allows you to use the same exact APIs and control plane you use to run in the AWS cloud, but on-premises.
  • Announced: November 2018 (at re:Invent)


Amazon RDS on VMware

  • Amazon RDS on VMware lets you deploy managed databases in on-premises VMware environments
  • Provides cost-efficient and resizable capacity while automating time-consuming administration tasks including hardware provisioning, database setup, patching, and backups.
  • Allows you to utilize the same simple interface for managing databases in on-premises VMware environments as you would use in AWS. You can easily replicate RDS on VMware databases to RDS instances in AWS, enabling low-cost hybrid deployments for disaster recovery, read replica bursting, and optional long-term backup retention in Amazon Simple Storage Service (S3).
  • Announced: November 2018 (at re:Invent)

Internet of Things

AWS IoT Events

  • AWS IoT events is a fully managed IoT service that makes it easy to detect and respond to events from IoT sensors and applications
  • Continuously monitors data from multiple IoT sensors and applications, and it integrates with other services, to enable early detection and unique insights into events.
  • Benefits: easily ingest operations data, trigger a range of actions, easily build rules.
  • Announced: November 2018 (at re:Invent)

AWS IoT SiteWise

  • AWS IoT SiteWise is a managed service that makes it easy to collect and organize data from industrial equipment at scale.
  • Provides software running on a gateway that resides in your facilities and automates the process of collecting and organizing industrial equipment data.
  • Benefits: monitor operations across facilities, quickly compute common industrial performance metrics, and build applications to analyze industrial equipment data, prevent costly equipment issues, and reduce production inefficiencies.
  • Announced: November 2018 (at re:Invent)

AWS IoT Things Graph

  • AWS IoT Things Graph is a service that makes it easy to visually connect different devices and web services to build IoT applications.
  • Provides a visual drag-and-drop interface for connecting and coordinating devices and web services, so you can build IoT applications quickly.
  • You can get started with AWS IoT Things Graph using these pre-built models for popular device types, such as switches and programmable logic controllers (PLCs), or create your own custom model using a GraphQL-based schema modeling language, and deploy your IoT application to AWS IoT Greengrass-enabled devices such as cameras, cable set-top boxes, or robotic arms in just a few clicks
  • Announced: November 2018 (at re:Invent)

Machine Learning

Amazon Personalize

  • Amazon Personalize is a machine learning service that makes it easy for developers to create individualized recommendations for customers using their applications.
  • Allows developers with no prior machine learning experience to easily build sophisticated personalization capabilities into their applications, using machine learning technology perfected from years of use on
  • Amazon Personalize will process and examine the data, identify what is meaningful, select the right algorithms, and train and optimize a personalization model that is customized for your data. You provide an activity stream from your application — page views, signups, purchases, and so forth — as well as an inventory of the items you want to recommend, such as articles, products, videos, or music.
  • Announced: November 2018 (at re:Invent)

Amazon Forecast

  • Amazon Forecast is a fully managed service that uses machine learning to deliver highly accurate forecasts, based on the same technology used at
  • Uses machine learning to combine time series data with additional variables to build forecasts.
  • Requires no machine learning experience to get started.
  • Announced: November 2018 (at re:Invent)

Amazon Textract

  • Amazon Textract is a service that automatically extracts text and data from scanned documents. It goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables.
  • Using machine learning to instantly “read” virtually any type of document to accurately extract text and data without the need for any manual effort or custom code.
  • Benefits: extract data quickly and accurately, no code or templates to maintain, lower document processing costs.
  • Announced: November 2018 (at re:Invent)

AWS DeepRacer

  • AWS DeepRacer is the first autonomous scale car specifically developed to help developers get hands-on with reinforcement learning.
  • Gives developers a simple way to learn RL, experiment with new RL algorithms and simulation-to-real domain transfer methods, and experience RL in the real world.
  • Participate in the AWS DeepRacer League at in-person events throughout the globe.
  • Announced: November 2018 (at re:Invent)

Security, Identity & Compliance

AWS Security Hub

  • AWS Security Hub gives you a comprehensive view of your high-priority security alerts and compliance status across AWS accounts.
  • Offers a single place that aggregates, organizes, and prioritizes your security alerts, or findings, from multiple AWS services, such as Amazon GuardDuty, Amazon Inspector, and Amazon Macie, as well as from AWS Partner solutions.
  • Announced: November 2018 (at re:Invent)

Trends in AWS New Services



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