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Product Announcements

Keynote Videos

Localized versions of the videos with closed captions will be available after the conference.

Peter DeSantis, VP, AWS Global Infrastructure

Terry Wise, VP of Global Alliances Ecosystems, and Channels, AWS

Andy Jassy, CEO, Amazon Web Services

Werner Vogels, CTO,

Application Integration

AWS Step Functions + Amazon SageMaker & AWS Glue

AWS Step Functions, a fully-managed workflow service, is now integrated with Amazon SageMaker and AWS Glue, making it simpler and faster for Data Science and Engineering teams to create, deploy, monitor, and iterate on machine learning (ML) workflows. Using Step Functions, you can automate ML workflows by connecting and coordinating multiple Amazon SageMaker jobs and AWS services in minutes—without code. Learn More >

AWS Step Functions + Workflow Automation

You can now use AWS Step Functions to automate workflows that start jobs on AWS Batch, Amazon Elastic Container Service (ECS), and AWS Fargate; store and retrieve data payloads on Amazon DynamoDB; and post messages to Amazon SNS and Amazon SQS. These new integrations make workflows faster to build, simpler to secure, and easier to monitor. Learn More >


AWS Lake Formation Coming Soon

AWS Lake Formation is a new service in preview (coming soon) that will make it easy to set up a secure data lake in days—you will be able to ingest, catalog, clean, transform, and secure your data. AWS Lake Formation will make it easier to combine analytic tools, like Amazon EMR, Redshift, Athena, Sagemaker, and QuickSight around data in your data lake. Learn More >

Amazon Quicksight Preview

Amazon QuickSight becomes the first BI service to offer machine learning (ML) and natural language powered insights for all users in an organization. With ML and natural language capabilities, users can easily discover hidden insights, understand the key drivers, and forecast their business without any ML expertise and countless hours in manual analysis. Learn More >

Amazon Kinesis Data Analytics for Java Applications

Amazon Kinesis Data Analytics is the easiest way to analyze streaming data, gain actionable insights, and respond to your business and customer needs in real time. In addition to writing SQL queries to analyze streaming data, developers can now build sophisticated Java applications using built-in capabilities for common processing functions to organize, transform, aggregate, and analyze data at any scale. Learn More >

Amazon Managed Streaming for Kafka Preview

Amazon Managed Streaming for Kafka is a fully managed service that makes it easy for you to build and run applications that use Apache Kafka to process streaming data. You do not need Kafka infrastructure management expertise, so you spend less time managing infrastructure and more time building streaming applications. Learn More >


Amazon Managed Blockchain Preview

Amazon Managed Blockchain is a fully managed service that makes it easy to create and manage scalable blockchain networks using popular open source frameworks Hyperledger Fabric and Ethereum (coming soon). Learn More >

Amazon Quantum Ledger Database

Amazon Quantum Ledger Database (QLDB) is a fully managed, purpose-built ledger database that provides an immutable and cryptographically verifiable history of all changes made to your application’s data. Learn More >


EC2 A1 Instance

Amazon EC2 A1 instances deliver significant cost savings and are ideally suited for scale-out and Arm-based workloads that are supported by the extensive Arm ecosystem. A1 instances are the first EC2 instances powered by AWS Graviton Processors that feature 64-bit Arm Neoverse cores and custom silicon designed by AWS. Learn More >

EC2 C5n

Amazon EC2 C5n instances are the latest addition to the C5 family and provide up to 100 Gbps of networking throughput. C5n instances are ideal for network intensive applications including high performance computing workloads, data lakes, and network appliances such as firewalls and routers. Learn More >

AWS Container Competency

The AWS Container Competency recognizes AWS Partner Network (APN) Technology Partners with a product or solution on AWS that offers support to run on containers. The product or solution integrates with AWS services in a way that improve customers' ability to run workloads on containers. You can now find an AWS Container Competency Partner to optimize orchestration and scheduling, infrastructure, application build/test and deployment on containers, as well as monitoring, logging, and security of containers. Learn More >


AWS open sources Firecracker virtualization technology. Firecracker is an open-source virtualization technology that is purpose-built for creating and managing secure, multitenant containers and functions-based services. AWS Lambda and AWS Fargate are built on Firecracker. Learn More >

AWS Outposts Coming Soon

AWS Outposts bring native AWS services, infrastructure, and operating models to virtually any data center, co-location space, or on-premises facility. With Outposts, you can use a single management plane for your entire enterprise IT environment and use the same automation, governance controls, policies, APIs, and developer tools to build and deploy modern cloud-native applications that can be deployed on-premises or in the cloud. Learn More >

Amazon EC2 P3dn instances Coming Soon

Amazon EC2 P3dn.24xlarge instances are the fastest, most powerful, and largest P3 instance size available and provide up to 100 Gbps of networking throughput, 8 NVIDIA® Tesla® V100 GPUs with 32 GB of memory each, 96 custom Intel® Xeon® Scalable (Skylake) vCPUs, and 2 TB of local NVMe-based SSD storage. The faster networking, new processors, doubling of GPU memory, and additional vCPUs enable developers to significantly lower the time to train their ML models or run more HPC simulations by scaling out their jobs across several instances (e.g., 16, 32 or 64 instances). Learn More >

On-Demand Hibernate

Now Pause and Resume Your Amazon EC2 Instances. You can hibernate instances to maintain a fleet of pre-warmed instances with a memory footprint that can quickly get to a productive state. Learn More >

Lightsail Tagging

Starting today, you can easily upgrade your instances and storage from Lightsail to EC2 with a simple, guided experience to get your instance up and running in EC2. This feature allows you to take advantage of Lightsail's easy-to-use platform and low, predictable pricing to launch, manage and scale your application, and then move to EC2 as your needs grow. Learn More >

Lambda as a Target for Application Load Balancer

Application Load Balancers now support invoking Lambda functions to serve HTTP(s) requests enabling users to access serverless applications from any HTTP client including web browsers. You can now use an Application Load Balancer as a common HTTP endpoint to simplify operations and monitoring for applications that use servers and serverless computing. Learn More >

Lambda Layers

AWS Lambda announces support for Lambda Layers, a simple way to manage common software and data across multiple functions. Previously, developers had to include all the software and data needed for their Lambda function such as application frameworks, SDKs, or machine learning models in a function's deployment package. Now, customers can use Lambda Layers to centrally manage common software and data across multiple functions. Learn More >

AWS License Manager

AWS License Manager makes it easy to manage licenses from software vendors like Oracle, Microsoft, and SAP both on AWS and on premises. AWS License Manager helps administrators track, control and see all their licenses from a single dashboard and lets them create rules to prevent misuse. Learn More >


DynamoDB Transactions

With Amazon DynamoDB transactions, developers can support business logic in mission-critical applications that requires multiple, all-or-nothing operations. For example, a developer building an order processing application can check that a customer’s payment method is valid, process the payment, and credit the correct number of loyalty points to the customer’s account as a single, all-or-nothing operation. Learn More >

Amazon Quantum Ledger Database

Amazon Quantum Ledger Database (QLDB) is a fully managed, purpose-built ledger database that provides an immutable and cryptographically verifiable history of all changes made to your application’s data. Learn More >

Amazon Timestream

Amazon Timestream is a fast, scalable, fully managed time series database service for IoT and operational applications that makes it easy to store and analyze trillions of events per day at 1/10th the cost of relational databases. With Amazon Timestream, you can easily store and analyze log data for DevOps, sensor data for IoT applications, and industrial telemetry data for equipment maintenance. Learn More >

Amazon RDS on VMware Preview

Amazon Relational Database Service (RDS) on VMware lets you deploy managed databases in on-premises and hybrid environments using the Amazon RDS technology enjoyed by hundreds of thousands of AWS customers. RDS on VMware makes it easy to set up, operate, and scale databases in VMware vSphere private data centers, or to migrate them to AWS. Learn More >

Amazon Aurora Global Database

An Aurora Global Database spans multiple AWS Regions, with writes replicated with typical latency of <1 second using dedicated infrastructure that leaves your database resources available entirely to serve application workloads. Applications with a worldwide footprint can use reader instances in secondary regions for low latency reads; secondary regions can be promoted to take full read-write workloads in under a minute for disaster recovery. Learn More >

DynamoDB On-Demand

A new billing option enabling customers to pay for only the resources they consume. The new billing option provides preconfigured throughput so workloads can ramp instantly from zero to thousands of requests per second making DynamoDB the first database to offer the combination of internet-scale performance and a fully managed experience with no capacity planning of servers, storage or throughput. Learn More >

Developer Tools

New Support for Blue/Green Deployments

Amazon ECS and AWS Fargate now support blue/green deployments via AWS CodeDeploy. Now you can easily automate your deployments to validate that a new version of your application is working properly before you route production traffic to it. Learn More >

New AWS Toolkits

The AWS Toolkit for PyCharm is a new, open source plug-in that makes it easier to develop Python applications on AWS. The toolkit provides an integrated experience to help you create, step-through debug, and deploy serverless applications in PyCharm. Learn More >

Internet of Things

AWS IoT Things Graph Preview

AWS IoT Things Graph lets you easily build IoT applications by connecting devices, such as sensors and actuators, and web services with little or no code. With AWS IoT Things Graph, it's easy to connect devices and services that weren't designed to work together. Learn More >

AWS IoT Events Preview

AWS IoT Events is a managed IoT service that makes it easy to detect and respond to events from different IoT sensors and applications. IoT Events helps you resolve operational issues quickly, reduce maintenance costs, increase operational efficiency, and improve product quality. Learn More >

New Greengrass Features

New capabilities extend AWS IoT Greengrass to include connectors to third party applications & AWS services, hardware root of trust private key storage, and new configuration options. Learn More >

AWS IoT SiteWise Preview

AWS IoT SiteWise is a managed service that makes it easy to collect, structure, and search IoT data from industrial facility databases and use it to analyze equipment and process performance. With IoT SiteWise, you can focus on understanding and optimizing your industrial operations, rather than building costly in-house data collection and management applications. Learn More >

AWS Partner Device Catalog

The AWS Device Qualification Catalog enables AWS customers to easily discover devices that work with AWS services including: Amazon FreeRTOS, AWS IoT Greengrass, AWS IoT Core, and Amazon Kinesis Video Streams. The AWS Device Qualification Programs enables AWS Partner Network (APN) hardware partners to self-qualify their devices and list them in the AWS Partner Device Catalog for customers to easily purchase. Learn More >

AWS IoT Service Delivery Designations

The AWS Service Delivery Program highlights AWS Partner Network (APN) Consulting Partners with a track record of delivering specific AWS services to customers. At re:Invent, we announced three new AWS IoT Service Delivery designations: AWS IoT Core, AWS IoT Analytics, and AWS IoT Greengrass. These APN Partners leverage deep technical expertise in combination with demonstrated knowledge of related AWS services to build secure, scalable IoT solutions. Learn More >

Amazon FreeRTOS support for Bluetooth Low Energy Beta

Amazon FreeRTOS now supports Bluetooth Low Energy (BLE). This feature enables embedded developers to securely connect Amazon FreeRTOS devices using BLE to AWS IoT via Android and iOS devices. Learn More >

AWS IoT Greengrass Now Supports Amazon SageMaker Neo and ML Inference Connectors on Edge Devices

AWS IoT Greengrass ML Inference integrates with Amazon SageMaker Neo so you can run machine learning inference twice as fast and, because models are optimized with less than a tenth of the memory footprint, they can run on resource constrained devices such as security cameras. Learn More >

AWS IoT Device Tester

AWS IoT Device Tester is a Windows/Linux/Mac test automation tool for connected devices. AWS IoT Device Tester lets you easily determine if your devices running Amazon FreeRTOS or AWS IoT Greengrass can be authenticated by and interoperate with AWS IoT services. Passing the AWS IoT Device Tester tests are required in order to be listed in the AWS Partner Device Catalog. There are two versions of AWS IoT Device Tester, AWS IoT Device Tester for Amazon FreeRTOS and AWS IoT Device Tester for AWS IoT Greengrass. The tool is free of charge and available on the AWS IoT Device Tester webpage. Learn More >

Machine Learning

Amazon SageMaker Ground Truth

Amazon SageMaker Ground Truth is a service to help customers build high-quality and accurate training datasets with an effective combination of automatic labeling integrated with human annotation. With Ground Truth, successful machine learning models are trained using data that has been labeled to help the model learn and make correct decisions. Learn More >

Amazon Forecast Preview

Based on the same technology used at, Amazon Forecast uses machine learning to combine time series data with additional variables to build highly-accurate forecasts. You don’t need any machine learning experience to get started with Amazon Forecast. Learn More >

Amazon Comprehend Medical

Amazon Comprehend Medical uses machine learning to find insights and relationships in unstructured medical text quickly at scale. Amazon Comprehend Medical is HIPAA eligible and makes advanced medical text analytics accessible to all developers with no up-front costs. Learn More >

Amazon Elastic Inference

Amazon Elastic Inference is an accelerated compute service that allows you to reduce deep learning inference costs by up to 75% when running inference using Amazon SageMaker or Amazon EC2 instances. Amazon Elastic Inference offers fractional sizes of a full GPU instance that you can easily attach to SageMaker endpoints and EC2 instances running deep learning inference. Learn More >

Amazon Textract Preview

Amazon Textract is a service that automatically detects and extracts text and data from scanned documents. Textract goes beyond simple optical character recognition (OCR) to also identify the contents of fields in forms and information stored in tables. With Textract you can quickly automate document workflows, enabling you to process a million document pages in one hour. Learn More >

Amazon Personalize Preview

Amazon Personalize is a machine learning service that makes it easy for developers to create personalization — at scale — for each individual at the right time, and with the right message. Based on the same personalization technology used by to power product recommendations for millions of customers, Amazon Personalize uses insights generated from customer data to deliver an experience that is tailored to their specific needs and preferences. Learn More >

Amazon Sagemaker Neo

Amazon SageMaker Neo is a new capability of Amazon SageMaker that enables machine learning models to train once and run anywhere in the cloud or at the edge, with up to 2x performance improvement. With Amazon SageMaker Neo, machine learning models can be deployed across different hardware platforms irrespective of the framework on which the model was built. SageMaker Neo optimizes the model with a compiler and a runtime to make the model framework-agnostic and hardware-agnostic. Learn More >

Amazon SageMaker RL

Amazon SageMaker RL enables support for Reinforcement Learning to enable developers and data scientists to build, train, and deploy models in a simulated environment to reflect real-world complex scenarios in areas such as autonomous systems, robotics, operations research, and many more. Amazon SageMaker RL helps developers who want to learn, prototype, and rapidly deliver innovative solutions to real world problems using deep reinforcement learning techniques. Learn More >

Amazon Translate Custom Terminology

Custom Terminology is a feature that customers can use to customize Amazon Translate output to use company- and domain-specific vocabulary. By uploading and invoking Custom Terminology with translation requests, customers have the ability to ensure that their unique content, such as brand names, character names, and model names, is translated exactly the way they need it, regardless of context and the Amazon Translate algorithm’s decision. Learn More >

Dynamic Training with Apache MXNet on AWS

Dynamic Training with Apache MXNet on AWS allows customers to significantly reduce training costs by elastically adding or removing EC2 Spot or RI in the middle of training with no loss in accuracy. Learn More >

Amazon Sagemaker Developer Enhancements

Amazon SageMaker has several enhancements for developer productivity to help with pre-processing and post-processing of machine learning models that makes it easier and faster to build, train, and deploy machine learning models. The new developer enhancements with Amazon SageMaker will help deploy machine learning models quicker and easier, by reducing the heavy lifting of the pre-processing and post-processing tasks that are typically needed.

AWS DeepRacer

AWS DeepRacer is a 1/18th scale race car which gives you an interesting and fun way to get started with reinforcement learning (RL). RL is an advanced machine learning (ML) technique which takes a very different approach to training models than other machine learning methods. Its super power is that it learns very complex behaviors without requiring any labeled training data, and can make short term decisions while optimizing for a longer term goal. Learn More >

Amazon Sagemaker Orchestration and Management

Amazon SageMaker announces several enhancements for orchestration and management to help developers accelerate the delivery of secure, resilient, machine learning applications. The new orchestration and management enhancements with Amazon SageMaker will help reduce the amount of code needed to write and maintain to deploy machine learning models.

AWS IoT Greengrass ML Inference

AWS IoT Greengrass ML Inference integrates with the new features of SageMaker. Now you can run machine learning inference faster and on more kinds of devices even those with low compute and storage capabilities. Learn More >

Management & Governance

Amazon CloudWatch Logs Insights

Amazon CloudWatch Logs Insights is a fully integrated, interactive, and pay-as-you-go log analytics service for CloudWatch. CloudWatch Logs Insights enables you to explore, analyze, and visualize your logs instantly allowing you to troubleshoot operational problems with ease. Learn More >

AWS Control Tower Preview

AWS Control Tower is the easiest way to set up and govern a secure, compliant multi-account environment. Customers will be able to quickly set-up and configure their AWS environment with best practice blueprints, get on-going policy enforcement with guardrails, and view their dashboard for visibility into their AWS environment.

Learn More >

AWS Well-Architected Partner Program

The AWS Well-Architected Partner Program trains and enables AWS Partner Network (APN) Consulting Partners to leverage the AWS Well-Architected Framework to help customers establish good architectural habits, eliminate risks, and design workloads that follow AWS best practices and principles for the AWS cloud. Learn More >

CloudWatch Application Insights for .NET and SQL Preview

Amazon CloudWatch Application Insights is a new service that enables observability for .NET and SQL Server applications. CloudWatch Application Insights leverages machine learning based intelligent anomaly detection to detect key metrics and logs from your applications to surface common problems such as SQL Server Memory Pressure. Learn More >

AWS Well-Architected Tool

The AWS Well-Architected Tool helps you review your workloads and compares them to the latest AWS architectural best practices. The tool is based on the AWS Well-Architected Framework, which has been used in tens of thousands of workload reviews conducted by the AWS solution architecture team. The AWS Well-Architected tool provides architectural guidance across five conceptual pillars to help implement designs that scale with application needs over time. Learn More >

AWS Serverless Application Repository

The AWS Serverless Application Repository now supports nested applications. As common serverless patterns emerge within your projects and teams, you can now distribute and deploy them as a nested application to rapidly develop new architectures while ensuring best practices. Learn More >

AWS Marketplace

AWS Marketplace for Containers

AWS Marketplace for Containers enables customers to find container products in AWS Marketplace and the Amazon ECS console. AWS Marketplace for Containers makes it easier to deploy container products on Amazon Container Services such as Amazon ECS and Amazon EKS. Learn More >

Private Marketplace

Private Marketplace is a customized catalog of third-party software products from AWS Marketplace. With Private Marketplace, administrators can choose from thousands of listings from AWS Marketplace to create a curated list of products and govern which products they want their users to run on AWS. Learn More >

AWS Marketplace for Machine Learning

Customers can now build machine learning applications faster with new machine learning algorithms and model packages in AWS Marketplace. Algorithms and model packages in AWS Marketplace can be deployed directly on Amazon SageMaker. Learn More >

Media Services

AWS Elemental MediaConnect

AWS Elemental MediaConnect is a reliable, secure, and flexible transport service for high-quality live video. Build sophisticated cloud-based video workflows, securely share video with partners, and send live video to destinations inside or outside of the AWS Cloud. Learn More >

Migration & Transfer

AWS Transfer for SFTP

AWS Transfer for SFTP provides a fully managed secure file transfer service that works with Amazon S3, eliminating the need for you to run SFTP infrastructure. It helps you seamlessly migrate file transfer workflows to AWS without disrupting your partners or customers client apps or processes by integrating with your existing Active Directory or LDAP authentication systems, if you want. Learn More >

AWS DataSync

AWS DataSync makes it easy to transfer data online to AWS up to 10 times faster than open source tools. DataSync connects to on-premises storage via NFS and automates transfers to and from Amazon S3 or Amazon EFS for migrations, data processing, or data protection. Learn More >


AWS Amplify Console

The AWS Amplify Console provides continuous deployment and hosting of cloud-powered modern web apps. Modern web apps offer a native app-like experience by serving the frontend, or user interface to the browser without requiring a page reload. The frontend is hosted as static content on a geographically distributed content delivery network (CDN) allowing content to be delivered globally with low latency. The backend is serverless, enabling developers to focus on writing code without managing servers. The Amplify Console offers a simplified workflow for deploying frontend and (serverless) backend updates in a single workflow – on every ‘git push’. Learn More >

Networking & Content Delivery

AWS Global Accelerator

AWS Global Accelerator is a network service that improves the availability and performance of the applications that you offer to your global customers. AWS Global Accelerator continuously monitors the health of your application endpoints and routes traffic to the closest healthy network endpoints using the AWS global network. Learn More >

Amazon API Gateway support for WebSocket APIs Coming Soon

Amazon API Gateway now supports WebSocket APIs to enable customers to build real-time two-way communication applications. Customers can use serverless APIs to handle connections and message transfer between users and backend services, making it easier to build and host chat applications, streaming dashboards, and more.

Elastic Fabric Adapter Coming Soon

Elastic Fabric Adapter (EFA) is a network interface for Amazon EC2 instances that enables customers to run High Performance Computing (HPC) applications requiring high levels of inter-node communications, like computational fluid dynamics, weather modeling, and reservoir simulation, at scale on AWS. Learn More >

AWS Transit Gateway

AWS Transit Gateway easily scales your connectivity across thousands of Amazon VPCs, AWS accounts, and on-premises networks. AWS Transit Gateway acts as a hub that significantly simplifies management and reduces operational costs. Each network is simply connected to the AWS Transit Gateway and is then automatically available to every other network that is connected to the AWS Transit Gateway. Learn More >

AWS App Mesh Beta

AWS App Mesh makes it easy to control and monitor microservices on AWS. App Mesh manages all the communications for your microservices, simplifying visibility, troubleshooting, and deployments. Learn More >

AWS Cloud Map

AWS Cloud Map is the map of your cloud. With Cloud Map, you can define custom names for your application resources, and it maintains the updated location of these dynamically changing resources. This increases your application availability because your web service always discover the most up-to-date locations of its resources. Learn More >


AWS RoboMaker

AWS RoboMaker is a service that makes it easy to develop, test, and deploy intelligent robotics applications at scale. AWS RoboMaker provides the tools to make building intelligent robotics applications more accessible, a fully managed simulation service for quick and easy testing, and a deployment service for lifecycle management. AWS RoboMaker removes the heavy lifting from each step of robotics development so you can focus on creating innovative robotics applications. Learn More >


AWS Ground Station Preview

AWS Ground Station is a fully managed Ground Station-as-a-Service (GSaaS) that lets you control satellite communications, downlink and process satellite data, and scale your satellite operations quickly, easily and cost-effectively without having to worry about building or managing your own ground station infrastructure. AWS Ground Station can help you save up to 80% on the cost of your ground station operations by using a fully-managed ground station-as-a-service instead of building and operating your own global ground station infrastructure. There are no long-term commitments, you pay only for how long you use the antennas, and you gain the ability to rapidly scale your satellite communications on-demand when your business needs it. Learn More >

Security, Identity, & Compliance

AWS Security Hub Preview

AWS Security Hub gives you a comprehensive view of your high-priority security alerts and compliance status across AWS accounts by aggregating and prioritizing your security findings from multiple AWS and partner services. Using the interactive dashboards, you can continuously monitor your environment for potential issues, initiate actions to remedy those issues, and automate compliance checks to meet best practices and industry standards. Learn More >

KMS Custom Key Store

KMS now gives customers the option to create dedicated, single-tenant custom key stores using CloudHSM clusters. Customers can now combine the control and isolation provide by CloudHSM with the integration and ease of use of KMS to manage encryption keys across AWS. Learn More >


Amazon Elastic File System Infrequent Access Coming Soon

The Amazon Elastic File System Infrequent Access storage class reduces file system costs for files that aren’t accessed every day. By using EFS Lifecycle Management to automatically transition files that haven’t been accessed for 30 days into the Infrequent Access storage class, you can save up to 80% on your EFS bill. Learn More >

S3 Object Lock

Amazon S3 Object Lock is a new S3 feature that blocks object deletion during a customer-defined retention period, enabling you to enforce retention policies as an added layer of data protection or for regulatory compliance. You can now write bucket-level policies that apply write-once-read-many (WORM) protection to objects as they are added to Amazon S3 to prevent deleting an object prior to its Retain Until Date. Learn More >

Amazon S3 Glacier Deep Archive Coming Soon

Amazon S3 Glacier Deep Archive is a new Amazon S3 storage class that provides secure, durable object storage for long-term data retention and digital preservation at costs that are the lowest of any AWS service. S3 Glacier Deep Archive is the ideal storage class for customers looking to make an archival, durable copy of data that rarely, if ever, needs to be accessed. Learn More >

Four New Amazon S3 Features

Four new Amazon S3 features help you reduce your storage costs by making it even easier to build archival applications using the Amazon S3 Glacier storage class and by enabling one-click data replication to S3 Glacier in another AWS Region. S3 PUT to Glacier, S3 Cross-Region Replication to Glacier, S3 Restore Notifications, and S3 Restore Speed Upgrade are available using the industry-standard S3 APIs, AWS Software Development Kits (SDKs), and AWS Management Console for simple integration with your archival and data protection workflows and applications. Learn More >

Amazon FSx for Windows File Server

Amazon FSx for Windows File Server provides a fully managed native Microsoft Windows file system that can be accessed from up to thousands of compute instances. Built on Windows Server and SSD storage, Amazon FSx provides Windows shared file storage with the compatibility, features, and performance that your Windows-based applications rely on, so you can easily move your Windows-based applications to AWS. Learn More >

Amazon FSx for Lustre

Amazon FSx for Lustre is a fully managed file system optimized for compute-intensive workloads and integrated with Amazon S3. For compute-intensive workloads, such as High-Performance Computing (HPC), and Machine Learning, you can leverage the scale and performance of FSX for Lustre to process your file-based data at up to hundreds of gigabytes per second of throughput, millions of IOPS, and sub-millisecond latencies. Learn More >

AWS Snowball Edge Compute Optimized

AWS Snowball Edge Compute Optimized is now available in the US East (Virginia), US West (Oregon and Northern California), GovCloud (US-West), and EU (Ireland) AWS Regions. The new compute optimized option provides 52 vCPUs,7.62TB of NVMe SSD, 42TB of S3 compatible storage, and an optional GPU for performing compute-intensive analysis in rugged or disconnected locations. Learn More >

S3 Batch Operations Preview

S3 Batch Operations makes it simple for customers to manage billions of objects stored in Amazon S3, with just a few clicks in the Amazon S3 Management Console or a single API request. Customers can now make changes to object properties and metadata, and perform other storage management tasks, such as copying objects between buckets, replacing tag sets, modifying access controls, and restoring archived objects from Amazon S3 Glacier—for any number of S3 objects in minutes instead of months. Learn More >

S3 Intelligent-Tiering (S3 INT)

S3 Intelligence-Tiering is a new Amazon S3 storage class and the first cloud storage class to automatically optimize costs by tiering data between two access tiers: one optimized for frequent access that is priced the same as S3 Standard storage, and the other designed for infrequent access that is priced the same as S3 Standard-Infrequent Access storage. It works by monitoring access patterns across your data, and moving objects which have not been accessed in 30 days from the frequent access tier to the infrequent access tier; if you access objects in the infrequent access tier, they will move back to the frequent access tier (with no retrieval fees). Learn More >

Amazon EBS Doubles Max Performance of io1 Volumes

Amazon EBS doubled the maximum performance of Provisioned IOPS SSD (io1) volumes up to 64,000 IOPS and 1,000 MB/s throughput. These performance improvements make it even easier to run applications requiring high performance storage, such as large transactional databases, big data analytics, and log processing applications. Learn More >