AWS announces a fully managed intelligent threat detection service — Amazon GuardDuty

  • New intelligent threat detection service analyzes trillions of events per day to identify new and evolving threats and provide simple, tailored, and cost-effective protection for AWS accounts and workloads
  • GE, Netflix, Autodesk, Twilio, Webroot, and Mapbox among the customers using Amazon GuardDuty

SEATTLE, 2017-Nov-29 — /EPR Retail News/ — Today at AWS re:Invent, Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced Amazon GuardDuty, a fully managed intelligent threat detection service that helps customers protect their AWS accounts and workloads by continuously monitoring account activity for malicious or unauthorized behavior. Customers can enable AmazonGuardDuty with a few clicks in the AWS Management Console and immediately begin analyzing API calls and network activity across their accounts to establish a baseline of “normal” account activity. Then, Amazon GuardDuty continuously applies machine learning to identify any events that fall outside the normal patterns. Amazon GuardDuty correlates activity using both proprietary, AWS-developed threat intelligence sources and industry-leading third-party sources. When anomalies are detected, Amazon GuardDuty delivers a detailed security alert to the AWS account owner, making alerts actionable and easy to integrate with existing event management and workflow systems. With Amazon GuardDuty, there is no hardware or software to deploy and no third-party subscription costs; customers pay only for the events analyzed. To get started with Amazon GuardDuty, visit: https://aws.amazon.com/guardduty.

As customers grow their cloud usage and increasingly deploy microservices architectures, they may have multiple AWS accounts with up to hundreds of thousands of instances. Identifying and assessing anomalous behavior across multiple accounts, networks, and instances at this scale can be like trying to find a needle in a haystack. Whether looking for attackers scanning web servers for vulnerabilities, monitoring for compromised instances being used to serve malware or mine cryptocurrency, or finding unauthorized resource provisioning, security teams have had to build or integrate multiple tools to detect anomalies. Customers also have to collect API access and network flow logs and correlate them with threat intelligence sources, applying algorithms to identify anomalies based on known threats. And, often, as soon as the algorithms are well-tuned, the threats evolve and the algorithm requires rework. Now, with Amazon GuardDuty, customers can easily deploy intelligent threat detection that takes care of all of this undifferentiated heavy lifting. Once activated, Amazon GuardDuty immediately begins consuming AWS CloudTrail and Amazon VPC Flow Logs to find indications of account-based threats that traditional solutions might miss, such as an unusual instance type being deployed in a region that has never been used, or an attempt to obscure user activity by disabling AWS CloudTrail logging. Amazon GuardDuty generates anomaly alerts that are tailored to each customer’s AWS use, and AWS continuously updates the threat intelligence sources Amazon GuardDuty employs. Amazon GuardDuty can be enabled instantly with no risk of negatively impacting existing application workloads.

“Customers often tell us that the best way we can help them stay secure is to give them smarter tools that make it easier to get security right,” said Stephen Schmidt, Chief Information Security Officer, Amazon Web Services. “We designed Amazon GuardDuty to be so simple and cost effective that turning it on would be an easy choice for every AWS customer, regardless of their security expertise or the existing security services they use. Amazon GuardDuty intelligently identifies hard-to-detect threats that might slip through the cracks of other security products and easily scales to meet the needs of any organization, whether they have two AWS accounts or two thousand.”

General Electric (GE) is the world’s Digital Industrial Company, transforming industry with software-defined machines and solutions that are connected, responsive, and predictive. “Security is a top priority at GE and ingrained in our company culture,” said Nasrin Rezai, Vice President, Global Chief Information and Product Security Officer at GE. “GE runs thousands of applications on AWS. Deploying Amazon GuardDuty across our AWS global footprint required only a matter of hours and enhances our threat detection capabilities.”

The Financial Industry Regulatory Authority (FINRA) oversees more than 3,900 securities firms with approximately 640,000 brokers and processes approximately 6 terabytes of data and 37 billion records on an average day. “We’ve found that we can be more secure in the cloud than we can on-premises,” said John Brady, CISSP, VP Cyber Security/CISO, FINRA. “With AWS, my team has access to outstanding tooling for patching, encryption, auditing and logging, entitlements, compliance, and now threat detection. We’re excited about how this new product can help us take advantage of machine learning to analyze all of our account activity, accurately detecting behavioral anomalies and enabling us to respond quickly.”

Netflix is the world’s leading internet entertainment service with over 109 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day. “We’re excited about the capabilities of Amazon GuardDuty,” said Shaun Blackburn, Security Manager, Netflix. “By delegating the management and monitoring of flow logs to AWS, we can extend our detection capabilities and pursue Netflix-specific security work. AWS has deep knowledge of common attack patterns and trends. By leveraging their unique position as the largest cloud providers, they are able to train sophisticated models that we can immediately consume. With Amazon GuardDuty, we can continue to innovate to deliver the greatest convenience, selection, and value to our members.”

Mapbox is a location data platform for maps, search, and navigation that serves more than 300 million end users each month. It’s all-in on AWS and runs across 10 regions. “Amazon GuardDuty vastly improves cloud intrusion detection, replacing multiple in-house systems with a more advanced, more accurate, and much lower-maintenance service,” said Ian Ward, Engineering Manager, Security at Mapbox. “We were able to enable Amazon GuardDuty instantly, replacing a large-scale engineering project with a fully managed, much more complete service.”

Autodesk is a leader in 3D design, engineering, and entertainment software. “It’s incredibly important we give our developers the freedom to be agile, while at the same time maintaining our high security standards,” said Kolby Dauler, Lead Engineer for Cloud Security at Autodesk. “Amazon GuardDuty helps us secure our AWS accounts owned by our developers, without slowing them down to install and maintain monitoring infrastructure. Using Amazon GuardDuty also gives our security team visibility into actionable metrics and involves them earlier in decisions that help drive better security practices.”

Amazon GuardDuty can send all findings to AWS CloudWatch Events and supports API endpoints through the AWS SDK, allowing for robust interoperability with third-party solutions. Leading providers such as Alert Logic, Evident.io, Palo Alto Networks, Rapid7, Redlock, Splunk, Sumo Logic, and Trend Micro have built integrations with Amazon GuardDuty, with more coming soon. These integrations allow customers to easily incorporate intelligence from Amazon GuardDuty into their existing security workflows for deeper analysis and automated prevention. Amazon GuardDuty also incorporates threat intelligence feeds from CrowdStrike, Proofpoint, and the AWS Security team to help identify and protect customers from known bad actors.

About Amazon Web Services

For more than 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, and application development, deployment, and management from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

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AWS announces a new Bare Metal instance offering for Amazon EC2 and introduces a new H1 Storage Optimized instances

  • New Amazon EC2 Bare Metal instances enable customers to run workloads directly on AWS hardware, or bring their own hypervisor or virtualization stack; preview starts today
  • New Storage Optimized instance family, H1, is designed for high-performance, big data workloads
  • The next generation of General Purpose instances, M5, deliver even better compute, memory, and networking performance, powered by the latest 2.5 GHz Intel Xeon Platinum 8000 series processors

SEATTLE, 2017-Nov-29 — /EPR Retail News/ — Today at AWS re:Invent, Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), announced a new Bare Metal instance offering for Amazon Elastic Compute Cloud (Amazon EC2), and introduced a new Storage Optimized instance family (H1 instances). The new H1 Storage Optimized instances are designed for data-intensive workloads such as MapReduce, distributed file systems, network file systems, log or data processing, and big data clusters. AWS also launched the next generation of General Purpose instances, M5, which have up to 50 percent more vCPUs, 50 percent more memory, and 25 percent more network bandwidth than previous generation M4 instances. To get started with the new Amazon EC2 instances, visit https://aws.amazon.com/ec2/.

“AWS continues to expand and enhance what was already the cloud’s broadest and most capable compute service,” said Matt Garman, Vice President, AWS Compute Services, AWS. “Most of our customers have diverse computing needs, and they’ve told us having the right instance for the right workload really matters. Today, we expand the options we give customers across three dimensions, introducing a brand new capability with Bare Metal instances for the I3 High I/O family, launching a new family of Storage Optimized instances designed for big data workloads with H1, and providing higher performance and lower prices for general purpose workloads with the launch of M5.”

  • Available today in preview, Amazon EC2 I3 Bare Metal instances are the first AWS instances to allow customer applications to run directly on the underlying hardware while still providing access to all the elasticity, scalability, and security of the cloud. Designed for workloads that are not virtualized, require specific types of hypervisors, or have licensing models that restrict virtualization, EC2 I3 Bare Metal instances give applications direct access to Intel Xeon E5-2686 v4 processors, 512 GiB of memory, 36 hyperthreaded cores, and 15.2 TB of local, SSD-based NVME storage. I3 Bare Metal instances are not simply repackaged bare metal servers—they provide all of the flexibility and capability customers have come to expect from EC2 instances, including support for attaching Amazon Elastic Block Store (Amazon EBS) volumes, the ability to use Amazon Virtual Private Cloud (Amazon VPC) and security group settings, and the ability to use Elastic IP addresses or Elastic Load Balancers. Bare Metal instances are built on top of AWS’s innovative Nitro System, which includes AWS-engineered hardware that enables high performance and high availability through hardware offload cards, as well secure protection of the hardware and system software with a custom AWS Nitro security processor that is built directly onto the motherboard. As with all Amazon EC2 instances, customers can deploy applications to Bare Metal instances in minutes, and scale these applications up and down in seconds.

VMware is a global leader in cloud infrastructure and services, and business mobility. “VMware and AWS have jointly engineered VMware Cloud on AWS, an on-demand VMware vSphere-based service, powered by VMware Cloud Foundation and optimized to run on Amazon EC2 Bare Metal instances,” said Mark Lohmeyer, Vice President and General Manager, Cloud Platform Business Unit, VMware. “We are delivering a seamless hybrid cloud to enable our mutual customers to run their business-critical applications in a trusted VMware environment, while taking advantage of high-performance access to AWS services. Whether our mutual customers need on-demand capacity, want to migrate their applications to cloud, or use cloud for disaster recovery, Amazon EC2 Bare Metal instances have made it possible for us to offer an operationally consistent VMware environment both on premises and in AWS.”

  • Available today, H1 instances are a new family of Amazon EC2 Storage Optimized instances designed for popular big data and data-intensive workloads, including MapReduce, distributed file systems like HDFS and MapR-FS, network file systems, log or data processing applications like Apache Kafka, and big data clusters. Powered by 2.3 GHz Intel Xeon E5 2686 v4 (Broadwell) processors, H1 instances provide up to 64 vCPUs and 256 GiB of DRAM. With up to 16 TB of inexpensive, magnetic storage and Enhanced Networking that provides 25 Gbps of network bandwidth per instance, H1 instances are ideal for processing very large data sets. Compared to existing D2 (dense storage) instances, H1 instances provide more compute and memory per terabyte of magnetic disk, along with increased network bandwidth. This provides an optimal balance of resources that reduces costs for big data uses cases that require more processing power.
  • Available today, M5 instances are the next generation of Amazon EC2 General Purpose instances, powered by 2.5 GHz Intel Xeon Platinum 8000 series (Skylake-SP) processors. With Enhanced Networking, and a new larger instance size that provides up to 96 vCPUs and 384 GiB of memory, M5 instances have up to 50 percent more vCPUs, 50 percent more memory, and 25 percent more network bandwidth than M4, making them ideal for web and application servers, backend enterprise applications, gaming servers, caching fleets, and application development environments.

About Amazon Web Services

For more than 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 100 fully featured services for compute, storage, databases, networking, analytics, machine learning and artificial intelligence (AI), Internet of Things (IoT), mobile, security, hybrid, and application development, deployment, and management from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world—including the fastest-growing startups, largest enterprises, and leading government agencies—to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

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Source: Amazon Web Services, Inc.

AWS and Microsoft announce new deep learning library called Gluon

  • New open source deep learning interface allows developers to more easily and quickly build machine learning models without compromising training performance
  • Jointly developed reference specification makes it possible for Gluon to work with any deep learning engine; support for Apache MXNet available today and support for Microsoft Cognitive Toolkit coming soon

SEATTLE & REDMOND, Wash., 2017-Oct-17 — /EPR Retail News/ — Today (Oct. 12, 2017), Amazon Web Services Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), and Microsoft Corp. (NASDAQ: MSFT) announced a new deep learning library, called Gluon, that allows developers of all skill levels to prototype, build, train and deploy sophisticated machine learning models for the cloud, devices at the edge and mobile apps. The Gluon interface currently works with Apache MXNet and will support Microsoft Cognitive Toolkit (CNTK) in an upcoming release. With the Gluon interface, developers can build machine learning models using a simple Python API and a range of pre-built, optimized neural network components. This makes it easier for developers of all skill levels to build neural networks using simple, concise code, without sacrificing performance. AWS and Microsoft published Gluon’s reference specification so other deep learning engines can be integrated with the interface. To get started with the Gluon interface, visit: https://github.com/gluon-api/gluon-api/.

Developers build neural networks using three components: training data, a model and an algorithm. The algorithm trains the model to understand patterns in the data. Because the volume of data is large and the models and algorithms are complex, training a model often takes days or even weeks. Deep learning engines like Apache MXNet, Microsoft Cognitive Toolkit, and TensorFlow have emerged to help optimize and speed the training process. However, these engines require developers to define the models and algorithms up-front using lengthy, complex code that is difficult to change. Other deep learning tools make model-building easier, but this simplicity can come at the cost of slower training performance.

The Gluon interface gives developers the best of both worlds—a concise, easy-to-understand programming interface that enables developers to quickly prototype and experiment with neural network models, and a training method that has minimal impact on the speed of the underlying engine. Developers can use the Gluon interface to create neural networks on the fly, and to change their size and shape dynamically. In addition, because the Gluon interface brings together the training algorithm and the neural network model, developers can perform model training one step at a time. This means it is much easier to debug, update and reuse neural networks.

“The potential of machine learning can only be realized if it is accessible to all developers. Today’s reality is that building and training machine learning models requires a great deal of heavy lifting and specialized expertise,” said Swami Sivasubramanian, VP of Amazon AI. “We created the Gluon interface so building neural networks and training models can be as easy as building an app. We look forward to our collaboration with Microsoft on continuing to evolve the Gluon interface for developers interested in making machine learning easier to use.”

“We believe it is important for the industry to work together and pool resources to build technology that benefits the broader community,” said Eric Boyd, Corporate Vice President of Microsoft AI and Research. “This is why Microsoft has collaborated with AWS to create the Gluon interface and enable an open AI ecosystem where developers have freedom of choice. Machine learning has the ability to transform the way we work, interact and communicate. To make this happen we need to put the right tools in the right hands, and the Gluon interface is a step in this direction.”

“FINRA is using deep learning tools to process the vast amount of data we collect in our data lake,” said Saman Michael Far, Senior Vice President and CTO, FINRA. “We are excited about the new Gluon interface, which makes it easier to leverage the capabilities of Apache MXNet, an open source framework that aligns with FINRA’s strategy of embracing open source and cloud for machine learning on big data.”

“I rarely see software engineering abstraction principles and numerical machine learning playing well together — and something that may look good in a tutorial could be hundreds of lines of code,” said Andrew Moore, dean of the School of Computer Science at Carnegie Mellon University. “I really appreciate how the Gluon interface is able to keep the code complexity at the same level as the concept; it’s a welcome addition to the machine learning community.”

“The Gluon interface solves the age old problem of having to choose between ease-of-use and performance, and I know it will resonate with my students,” said Nikolaos Vasiloglou, Adjunct Professor of Electrical Engineering and Computer Science at Georgia Institute of Technology. “The Gluon interface dramatically accelerates the pace at which students can pick up, apply, and innovate on new applications of machine learning. The documentation is great, and I’m looking forward to teaching it as part of my computer science course and in seminars that focus on teaching cutting edge machine learning concepts across different cities in the US.”

“We think the Gluon interface will be an important addition to our machine learning toolkit because it makes it easy to prototype machine learning models,” said Takero Ibuki, Senior Research Engineer at DOCOMO Innovations. “The efficiency and flexibility this interface provides will enable our teams to be more agile and experiment in ways that would have required a prohibitive time investment in the past.”

The Gluon interface is open source and available today in Apache MXNet 0.11, with support for Microsoft Cognitive Toolkit (CNTK) in an upcoming release. Developers can learn how to get started using Gluon with MXNet by viewing tutorials for both beginners and experts available by visiting: https://mxnet.incubator.apache.org/gluon/.

About Amazon Web Services

For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world — including the fastest-growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

About Microsoft

Microsoft (Nasdaq “MSFT” @microsoft) is the leading platform and productivity company for the mobile-first, cloud-first world, and its mission is to empower every person and every organization on the planet to achieve more.

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Source: Amazon Web Services Inc.

AWS announces Amazon Macie security service to protect data stored in Amazon S3

  • New security service uses machine learning to classify sensitivity of customers’ data in Amazon S3 and then monitor and report on risks and anomalous access
  • Autodesk, Edmunds, and Netflix among the customers using Amazon Macie

SEATTLE, 2017-Aug-15 — /EPR Retail News/ — Today (Aug. 14, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced Amazon Macie, a new security service that uses machine learning to help customers prevent data loss by automatically discovering, classifying, and protecting sensitive data in AWS. Amazon Macie recognizes sensitive data such as personally identifiable information (PII) or intellectual property, and provides customers with dashboards and alerts that give visibility into how this data is being accessed or moved. The fully managed service continuously monitors data access activity for anomalies, and generates detailed alerts when it detects risk of unauthorized access or inadvertent data leaks. Today, Amazon Macie is available to protect data stored in Amazon Simple Storage Service (Amazon S3), with support for additional AWS data stores coming later this year. Customers can enable Amazon Macie from the AWS Management Console, and pay only for the GBs of Amazon S3 content classified and the AWS CloudTrail events analyzed, with no upfront costs or software purchases required. To get started with Amazon Macie, visit: https://aws.amazon.com/macie.

As organizations continue to generate growing volumes of data, it has become increasingly difficult, expensive, and time consuming for security teams to find and protect sensitive information scattered throughout the enterprise. Existing security tools designed to address this challenge generally require customers to develop and frequently update complex data classifications, which can only account for known risks and often generate many extraneous or inaccurate alerts. Amazon Macie automates these labor-intensive processes, using machine learning to better understand where an organization’s sensitive information is located and how it’s typically accessed, including user authentication, locations, and times of access. After a baseline is established, Amazon Macie actively monitors for anomalies that indicate risks and/or suspicious behavior, such as large quantities of source code being downloaded, credentials being stored in an unsecure manner, or sensitive data that a customer has accidentally made externally accessible. The Amazon Macie console puts the most important information front and center with highly accurate alerts and detailed recommendations for how to resolve issues. Amazon Macie also gives customers the ability to easily define and customize automated remediation actions, such as resetting access control lists or triggering password reset policies.

“When a customer has a significant amount of content stored in Amazon S3, identifying and classifying all of the potentially sensitive data can feel a bit like finding needles in a very large haystack — especially with monitoring tools that aren’t smart enough to effectively automate what is now a very manual process,” said Stephen Schmidt, Chief Information Security Officer, Amazon Web Services. “Amazon Macie approaches information security in a more intelligent way. By using machine learning to understand the content and user behavior of each organization, Amazon Macie can cut through huge volumes of data with better visibility and more accurate alerts, allowing customers to focus on securing their sensitive information instead of wasting time trying to find it.”

Autodesk is a leader in 3D design, engineering and entertainment software. “Amazon Macie is easy to use and gave us valuable information almost instantaneously,” said Anmol Misra, Director of Cloud Security & Compliance, Autodesk. “More importantly, it delivered accurate, informative alerts that we can take action on.”

Edmunds.com offers detailed, constantly updated information about vehicles to 20 million monthly visitors. “Amazon Macie is enabling us to achieve a completely new level of confidence in the security of our infrastructure,” said Ajit Zadgaonkar, Executive Director, Infrastructure and Engineering Operations, Edmunds.com. “The granular level of inspection and intelligence that Amazon Macie applies is giving us continuous insights into areas of our cloud infrastructure and practices, enabling us to achieve things that would have been unwieldy or even not possible until now.”

Netflix is the world’s leading internet television network with 104 million members in over 190 countries enjoying more than 125 million hours of TV shows and movies per day. “The security of our customers’ data is a top priority for Netflix, and we’ve invested substantial resources to build tools that protect sensitive information against unauthorized access or leaks,” said Patrick Kelley, Senior Cloud Security Engineer, Netflix. “Since we started using Amazon Macie, we’ve found that it is flexible enough to solve a range challenges that would have previously required us to write custom code or build internal tools, such as securing PII and alerting us to access anomalies, helping us move fast with confidence.”

Amazon Macie can send all findings to Amazon CloudWatch Events and will support API endpoints through the AWS SDK later this year, allowing for robust interoperability with third-party solutions. Planned integrations include solutions from leading providers such as Palo Alto Networks, Splunk, Trend Micro, and more, allowing customers to easily incorporate intelligence from Amazon Macie into their existing security workflows for deeper analysis and forensics.

About Amazon Web Services

For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world — including the fastest growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

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Source: Amazon Web Services, Inc.

Hulu selects AWS as its cloud provider

Leading premium streaming service successfully launched “Hulu with Live TV” leveraging AWS

SEATTLE, 2017-Aug-15 — /EPR Retail News/ — Today (Aug. 14, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that Hulu has selected AWS as its cloud provider, and leveraged AWS to launch its new, over-the-top (OTT) live TV service. Huluturned to AWS for a scalable, agile, and cost effective infrastructure to support the addition of more than 50 live channels for the Hulu with Live TV launch in May 2017. Running its live TV service on AWS’s reliable and secure infrastructure allows Hulu to deliver a great viewer experience, even in times of rapid spikes in viewership and traffic. AWS’s comprehensive cloud offering allows Hulu to focus on innovating OTT delivery for its highly personalized viewer experience instead of managing infrastructure.

“Hulu is redefining the television experience for viewers and we have set the technical bar much higher by bringing live TV into the mix,” said Rafael Soltanovich, Vice President, Software development at Hulu. “We selected AWS as our cloud provider because of its leading breadth and depth of capabilities. The elasticity, agility, and security they provide were key to deploying our new service. Putting our stream ingest, repackaging, DVR storage, and origin serving on AWS freed us from having to build out data centers and led to a faster time to market with higher availability.”

“Leaders in media and entertainment like Hulu are looking for more efficient ways to build scalable streaming and OTT solutions,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS. “AWS’s unmatched scalability and reliability allow Hulu to continue to innovate and break new ground – like delivering live TV alongside their extensive on-demand programming – without having to spend millions of dollars and thousands of person hours building and managing data centers.”

Hulu joins a growing list of media companies and broadcasters running their media supply chains and OTT delivery pipelines on AWS, including Amazon Video, AOL, BBC, Channel 4, C-SPAN, Daily Voice, Discovery Communications, Flipboard, GoPro, Guardian News & Media, Hearst Corporation, LIONSGATE, NDTV, Netflix, News International, News UK, Newsweek, PBS, Simfy Africa, Sony DADC, SoundCloud, Spotify, Time Inc., and United Daily News.

About Amazon Web Services

For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 44 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world – including the fastest growing startups, largest enterprises, and leading government agencies – to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

About Hulu

Hulu is a leading premium streaming service that offers instant access to live and on demand channels, original series and films, and a premium library TV and movies to millions of subscribers in the U.S. Since its launch in 2008, Hulu has consistently been at the forefront of entertainment and technology. Hulu is the only streaming service that offers both ad-supported and commercial-free current season shows from the largest U.S. broadcast networks; libraries of hit TV series and films; and acclaimed original series including the Emmy nominated drama series The Handmaid’s Tale, The Mindy Project, The Path, 11.22.63, the Golden Globe® nominated comedy series Casual, as well as the upcoming Future Man and The Looming Tower. In 2017, Hulu added live news, entertainment and sports from 21st Century Fox, The Walt Disney Company,NBCUniversal, CBS Corporation, Turner Networks, A+E Networks and Scripps Networks Interactive to its offering – making it the only TV service that brings together live, on-demand, originals, and library content all in one place, across living room and mobile devices.

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Family history and consumer genomics leader Ancestry to migrate all of its applications and data to AWS

Global leader in family history and consumer genomics migrates to AWS to support its continued growth and gain important advantages in scalability, performance, security, and privacy

SEATTLE, 2017-Jun-09 — /EPR Retail News/ — Today (Jun. 8, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that Ancestry, the global leader in family history and consumer genomics, will migrate all of its applications and data to AWS. By choosing the cloud with the most functionality, including a wide range of analytics and machine learning capabilities, Ancestry will be able to achieve superior scalability, performance, reliability, security, and privacy as it continues its global growth.

For its over 2.6 million paid subscribers, Ancestry analyzes and compares billions of historical records, tens of millions of family trees, and millions of existing customer DNA profiles to deliver data-driven insights that help customers develop a new sense of self. The company requires a highly scalable and secure IT infrastructure on which to store and analyze large volumes of sensitive information. Ancestry’s goal is to empower people to take their own journey of self-discovery, providing actionable insights that have meaningful impact. It offers customers a deeper view into their ethnic backgrounds, hints about their family history, and connections to possible genetic cousins.

“We’re providing consumers with insights that can transform their lives. By enabling people to dive deeper into themselves and the lives of the people and cultures that led to them, we help customers change their perspective on who they are and how they fit into the world that surrounds them. Accomplishing that requires that we securely manage and analyze an incredible amount of unique, personal data on a daily basis,” said Nat Natarajan, Executive Vice President of Product and Technology at Ancestry. “With our continuing growth, migrating to the cloud provides us with clear scalability and security advantages. AWS also provides us with the flexibility we need to stay at the forefront of consumer genomics, as the science and technology in the space continue to rapidly evolve. We’re confident that AWS provides us with unmatched scalability, security, and privacy, and we’re excited to move our data and applications to AWS.”

“Ancestry is doing amazing work to reinvent how people discover themselves through a unique combination of historical records, family trees, and DNA,” said Mike Clayville, Vice President, Worldwide Commercial Sales at AWS. “Because AWS offers much more functionality than any other infrastructure provider, Ancestry can easily move existing apps, develop any new app their builders dream up, and leverage AWS’s expansive analytics and machine learning offerings to understand their data better and infuse their applications with more intelligence. We look forward to working with Ancestry as it goes all-in on AWS over the next year.”

Ancestry joins the growing list of customers going all-in on AWS, including 3M Health Information Systems, AOL, Acquia, Atlassian, Australia Health District, Blackboard, Change Healthcare, Discovery Communications, Dole, City of McKinney Texas, Clark Construction, DigitalGlobe, Edmunds.com, Ellucian, Eliza Corporation, Enel, Fast Retailing, FINRA, GameStop, Hertz, Intuit, Juniper Networks, Kempinski, LexisNexis, Live Nation, Magazine Luiza, Matson, MetGlobal, Ministry of Justice UK, MPAC, Motorola, National Democratic Institute, Netflix, Nordstrom, Pristine, Qlik, Smiles, Sony New Media Solutions, Splunk, Suncorp Group, Talen Energy, The Guardian, Time Inc., Trainline, Twilio, University of Notre Dame, Vend, Vidyard, and Zillow.

About Amazon Web Services

For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 42 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world – including the fastest growing startups, largest enterprises, and leading government agencies – to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon

Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

About Ancestry

Ancestry, the global leader in family history and consumer genomics, harnesses the information found in family trees, historical records, and DNA to help people gain a new level of understanding about their lives. Ancestry has more than 2.6 million paying subscribers across its core Ancestry websites and more than 4 million people in the AncestryDNA network. Since 1996, more than 20 billion records have been added, and users have created more than 90 million family trees on the Ancestry flagship site and its affiliated international websites. Ancestry offers a suite of family history products and services including AncestryDNA, Archives, ProGenealogists, Newspapers.com and Fold3.

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AWS allows Amazon Redshift customers run SQL queries against exabytes of data in Amazon S3 with Amazon Redshift Spectrum

New capability allows Amazon Redshift customers to run analytic queries quickly and inexpensively against exabytes of data in Amazon S3

SEATTLE, 2017-Apr-20 — /EPR Retail News/ — Today (Apr. 19, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced Amazon Redshift Spectrum, a new feature that allows Amazon Redshift customers to run SQL queries against exabytes of their data in Amazon Simple Storage Service (Amazon S3). With Redshift Spectrum, customers can extend the analytic power of Amazon Redshift beyond data stored on local disks in their data warehouse to query vast amounts of unstructured data in their Amazon S3 “data lake” – without having to load or transform any data. Redshift Spectrum applies sophisticated query optimization, scaling processing across thousands of nodes so results are fast – even with large data sets and complex queries. To get started with Redshift Spectrum, visit https://aws.amazon.com/redshift/spectrum.

Amazon Redshift is one of AWS’s fastest-growing services because it allows customers to perform complex queries on petabytes of structured data stored on high-performance local disks and get superfast performance – all for a tenth of the cost of traditional data warehouses. However, as the cost of data storage has continued to drop, customers are increasingly storing vast amounts of data in Amazon S3 “data lakes,” including unstructured data that may never make it into a data warehouse. Now, with Redshift Spectrum, analyzing all of this data is as easy as running a standard Amazon Redshift SQL query. Redshift Spectrum directly queries data in Amazon S3, with no loading or transformation required, using the open data formats customers already use, including CSV, TSV, Parquet, Sequence, and RCFile. Since Redshift Spectrum supports the same SQL syntax of Amazon Redshift, customers can run sophisticated queries using the same Business Intelligence (BI) tools they do today. They can also run queries that span both the frequently accessed data stored locally in Amazon Redshift and their full data sets stored cost-effectively in Amazon S3. Redshift Spectrum automatically scales query compute capacity based on the data being retrieved, so queries against Amazon S3 data run fast, whether processing just a few terabytes, petabytes, or even exabytes.

“Customers such as Amgen, Boingo Wireless, Electronic Arts, Hearst, Lyft, Nasdaq, Scholastic, TripAdvisor, and Yahoo! are migrating to Amazon Redshift in droves because it leverages the scale of AWS to analyze petabytes of data with ten times the performance at one-tenth the cost of old guard data warehouses. Many of these customers have asked us to extend the speed and flexibility of Amazon Redshift beyond the data warehouse to analyze all of the data they have in Amazon S3,” said Raju Gulabani, Vice President, Databases, Analytics, and AI, AWS. “Redshift Spectrum does just this, offering the best of both worlds by making it incredibly easy to query exabytes of data in Amazon S3 directly from Amazon Redshift. We’re excited to now make exabyte-scale analytics fast, simple and accessible to companies of all sizes.”

Tokyo-based NTT DOCOMO is the largest mobile service provider in Japan, serving more than 68 million customers. “Our data analysis platform collects tens of terabytes of log data each day from a variety of internal and external sources to help us improve our logistics and marketing operations. Migrating to Amazon Redshift two years ago allowed us to scale to over ten petabytes of uncompressed data with a ten times performance improvement over our prior on-premises system,” said Mick Etoh, Senior Vice President and General Manager of Innovation Management Department, NTT DOCOMO. “Redshift Spectrum will let us expand the universe of the data we analyze to 100s of petabytes over time. This is truly a game changer, and we can think of no other system in the world that can get us there.”

Time Inc. is a leading content company that engages over 150 million consumers every month through its portfolio of premium brands across platforms. “As a media company, we receive a large quantity of data from a number of ad serving providers. This data comes in a variety of formats and needs to be integrated with our own internal systems in order for our teams to be able to analyze it,” said Vladimir Barkov, Director of Data Architecture and Engineering at Time Inc. “Redshift Spectrum enables us to directly operate on our data in its native format in Amazon S3 with no preprocessing or transformation. Our data pipeline is much simpler now, and our execution time has been lowered significantly.”

Edmunds offers detailed, constantly updated information about vehicles to 20 million monthly visitors. “Amazon Redshift’s scalability allows us to support our ever-growing data volumes, unlike our previous, on-premises data warehouse solution,” said Ajit Zadgaonkar, Edmunds’s Executive Director of Operations and Infrastructure. “With Redshift Spectrum, we no longer need to think about what data to retain for analysis and what to throw away. We can now run real SQL queries directly on many years of data stored cost-effectively in Amazon S3. Redshift Spectrum’s fast performance across massive data sets is unprecedented.”

Redfin is the next-generation real estate brokerage, combining its own full-service agents with modern technology to redefine real estate in the consumer’s favor across more than 80 metros in the US. “With millions of users and hundreds of millions of property listings, our website and internal systems generate a vast amount of data. Our data analytics platform has been built from the ground up on AWS, using Amazon S3 for storage, Amazon Kinesis for streaming, Amazon EMR for data processing and real-time applications, and Amazon Redshift for data warehousing,” said Yong Huang, Director of Big Data and Analytics at Redfin. “We love Redshift Spectrum because it allows us to directly and flexibly query our most up-to-date data coming from many different complex pipelines in many different file formats. Our data science team using Amazon EMR can now collaborate with our marketing and product teams using Redshift Spectrum to analyze the same Amazon S3 data sets.”

Yelp connects people with great local businesses and provides them with in-depth reviews across 32 countries. “Yelp generates billions of analytics events every day across our 24 million average monthly mobile app unique users, 65 million average monthly mobile web unique visitors, and 73 million average monthly desktop unique visitors as of December 31, 2016. Our shift to mobile has stressed our analytics infrastructure, as our mobile app users have ten times more engagement than our website users,” said Justin Cunningham, Technical Lead in the Software Engineering team at Yelp. “Redshift Spectrum unlocks analytic access to our Amazon S3 data, reducing the time-to-insight across large data sets to seconds. It will enable many more use cases than we serve today – multiple teams can now query the same Amazon S3 data sets using both Amazon Redshift and Amazon EMR.”

Recruit Technologies operates some of the most popular media brands and advertising properties in Japan. “Our web and mobile properties that are provided by Recruit’s subsidiaries generate billions of events per day which we analyze to improve our business, including marketing, business planning, and product enhancements. We migrated to Amazon Redshift in 2015 to keep up with the explosion of data in our business,” said Satoshi Honmura, Group Manager of Data Management at Recruit Technologies. “Redshift Spectrum will help us scale yet further while also lowering our costs. Now, our data scientists can run sophisticated queries against many years of historical data in Amazon S3, paying just for the queries they run, while our hundreds of business users can continue to use Redshift local storage to deliver blazingly fast performance against more recent data.”

Customers can start using Redshift Spectrum using the AWS Management Console. Amazon Redshift Spectrum is available in the US East (N.Virginia), US East (Ohio), and US West (Oregon) Regions and will expand to additional Regions in the coming months.

About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 42 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world – including the fastest growing startups, largest enterprises, and leading government agencies – to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

Source: Amazon Web Services, Inc.

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Dunkin’ Brands Group migrates its mobile applications, e-commerce websites, and corporate IT infrastructure applications to AWS

Dunkin’ Brands has migrated mobile applications, e-commerce websites, and corporate IT infrastructure to AWS

SEATTLE, 2017-Apr-20 — /EPR Retail News/ — Today (Apr. 19, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced that Dunkin’ Brands Group, Inc. (Nasdaq: DNKN), the parent company of Dunkin’ Donuts and Baskin-Robbins, has selected AWS as its cloud infrastructure provider. The company has completed the migration of its mobile applications, e-commerce websites, and key corporate IT infrastructure applications from on-premises infrastructure to AWS for increased scalability, reliability, availability, security, and reduced costs, and has improved the digital experience for Dunkin’ Donuts and Baskin-Robbins guests.

Dunkin’ Brands has a number of customer-facing applications, such as its mobile applications and e-commerce websites, which serve as a critical way for the company to interact with its customers. Dunkin’ Donuts and Baskin-Robbins customers frequently use their mobile applications to review the menu, order ahead, and redeem rewards, allowing customers to easily and quickly pay for their orders or send virtual gift cards. Several of these business applications, as well as the Dunkin’ Brands digital web properties, run on AWS. In addition to providing high performance, reliability, and security, AWS has enabled Dunkin’ Brands to maintain high availability during peaks in usage. For example, key consumer events like National Coffee Day and National Donut Day, as well as popular timeframes such as the holiday season, drive significant peaks in use of these key applications. While Dunkin’ Brands had previously found it increasingly difficult to predict and manage the on-premises capacity needed to provide an optimal digital experience for its guests during these times, it now relies on AWS to easily and reliably scale up and down as needed. In addition, Dunkin’ Brands has also migrated internal corporate IT infrastructure applications to AWS to reduce costs and increase availability.

“Our mobile applications and digital properties are an absolutely critical way through which we reach our customers and they must be secure, available, and high performing at all times,” said Santhosh Kumar, Vice President, Infrastructure, Data Security and Privacy at Dunkin’ Brands. “We selected AWS as our cloud infrastructure provider for these key business applications due to the depth and breadth of the AWS services, and their experience in securely managing enterprise applications. AWS also provides us with redundancy to help us meet our goals of high reliability and availability, robust security and optimal performance for our applications, and the ability to quickly add capacity on demand when needed.”

“Dunkin’ Brands is a great example of an enterprise company’s journey to AWS. They began their migration to AWS with their development and test workloads and websites, and after benefiting from lower costs, faster innovation rates, and improved reliability, migrated critical, customer-facing and corporate IT infrastructure applications,” said Mike Clayville, Vice President, Worldwide Sales at AWS. “We’re excited to work closely with Dunkin’ Brands as they continue their journey to AWS.”

About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 42 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world — including the fastest growing startups, largest enterprises, and leading government agencies — to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

About Dunkin’ Brands Group, Inc.
With more than 19,000 points of distribution in more than 60 countries worldwide, Dunkin’ Brands Group, Inc. (Nasdaq: DNKN) is one of the world’s leading franchisors of quick service restaurants (QSR) serving hot and cold coffee and baked goods, as well as hard-serve ice cream. At the end of the third quarter 2016, Dunkin’ Brands’ nearly 100 percent franchised business model included more than 12,000 Dunkin’ Donutsrestaurants and more than 7,700 Baskin-Robbins restaurants. Dunkin’ Brands Group, Inc. is headquartered in Canton, Mass.

Source: Amazon Web Services, Inc.

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AWS introduces new fully managed in-memory cache that can reduce Amazon DynamoDB response times from milliseconds to microseconds

  • New, fully managed in-memory cache can reduce Amazon DynamoDB response times from milliseconds to microseconds
  • Preview starts today

SEATTLE, 2017-Apr-20 — /EPR Retail News/ — Today (Apr. 19, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced Amazon DynamoDB Accelerator (DAX), a fully managed, highly available, in-memory cache that can reduce Amazon DynamoDB response times from milliseconds to microseconds, even at millions of requests per second. Customers can add DAX to their existing DynamoDB applications with just a few clicks in the AWS Management Console – no application rewrites required. There are no upfront costs or commitments with DAX, and customers only pay for the capacity they provision. To learn more about DAX, visit https://aws.amazon.com/dynamodb/dax.

Amazon DynamoDB has simplified NoSQL database management by providing a fully managed, seamlessly scalable NoSQL database service. More than a hundred thousand AWS customers, including, Adobe, AdRoll, Airbnb, Amazon, DataXu, Duolingo, Expedia, FanDuel, Lyft, Mapbox, MLB Advanced Media, Redfin, Supercell, Twilio, Under Armour, VidRoll, and Zynga rely on Amazon DynamoDB to deliver consistent, single-digit millisecond latency for some of the world’s largest mobile, web, gaming, ad tech, and IoT applications. However, many applications with near real-time requirements for accessing data (e.g. real-time bidding, weather data, social gaming, or financial trading) need even faster performance. Until now, achieving further performance gains has meant deploying and managing in-memory caching clusters in front of Amazon DynamoDB, which often require developers to rewrite their applications, and require a specialized skillset to implement and operate. With DAX, customers get a fully managed cache that boosts Amazon DynamoDB performance up to ten times, speeding response times to microseconds without requiring customers to setup, manage, and sync a separate caching cluster. Customers don’t need to rewrite their applications to get DAX for their DynamoDB apps; they simply provision a DAX cluster, point their application to the DAX endpoint, and DAX automatically caches item and query results in-memory on designated DAX instances. DAX clusters can scale while handling millions of requests per second, combining in-memory performance acceleration with the simplicity, flexibility, and scale of Amazon DynamoDB so applications remain fast and responsive regardless of the volume of requests.

“In just five years, Amazon DynamoDB has emerged as the backbone for many powerful Internet applications and Amazon’s consumer businesses, and today developers use Amazon DynamoDB to handle well over a trillion requests per day. But, customers that need applications to respond in microseconds have often asked us whether we could make Amazon DynamoDB even faster,” said Raju Gulabani, Vice President, Databases, Analytics, and AI, AWS. “We’re very excited to take Amazon DynamoDB’s performance to the next level with DAX – it’s like rocket fuel that can speed response times to microseconds for millions of requests per second without requiring customers to rewrite their applications. With DAX, applications remain fast and responsive – even when they experience massive spikes in request volumes.”

Expedia, Inc. is one of the world’s leading travel companies, helping millions of travelers per month easily plan and book travel. “At Expedia, we are longtime customers of AWS, and use DynamoDB across the company to power many of our applications,” said Brandon O’Brien, Principal Software Engineer, Expedia, Inc. “We received early access to Amazon DynamoDB Accelerator, and it has proven to be fast and easy to use. DAX represents a big opportunity for us to find the optimal balance between infrastructure cost and system performance.”

Eyeview Digital is a leader in ad tech focusing on video marketing technology. “In the Real-Time Bidding realm, using a lightning-fast and reliable key value store is a requirement you cannot work around, and for which we turned to Amazon DynamoDB. With hundreds of thousands of queries to Amazon DynamoDB per second, we have to make sure we are not hitting hot keys, balancing load, and optimizing for cost efficiency,” said Shahar Kobrinky, Vice President, Architecture and Scale, Eyeview. “Getting early access to DAX allowed us to do just that. Repeated users are now being handled by the DAX cache without making the more expensive (in both latency and cost) call to Amazon DynamoDB. We’re excited about DAX, and we can definitely see its value for many AWS customers as it has been and will continue to be valuable for us.”

Genesys is the global leader in omnichannel customer experience and contact center solutions. “The AWS team has taken a best-practice architectural pattern and turned it into something repeatable and valuable for its customers. I expect DAX to become the de facto replacement for our distributed cache plus Amazon DynamoDB storage tier across our collections of microservices in PureCloud,” said Glenn Nethercutt, Chief Architect of PureCloud by Genesys. “The combination of sub-millisecond latency and simple transitions from the existing AmazonDynamoDB client means we’ll be able to rapidly adopt this service as it becomes available across the globe, significantly improving our performance and cost profile for read-intensive workloads.”

Twilio helps businesses make communications relevant and contextual by making it possible to easily embed real-time communication and authentication capabilities directly into software applications. “We depend upon Amazon DynamoDB’s consistent performance and scalability and trust it to power our Programmable Chat offering,” said Pat Malatack, General Manager of Twilio Messaging. “The ability to supercharge DynamoDB with DAX is something we’re looking forward to.”

About Amazon Web Services
For 11 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 90 fully featured services for compute, storage, networking, database, analytics, application services, deployment, management, developer, mobile, Internet of Things (IoT), Artificial Intelligence (AI), security, hybrid, and enterprise applications, from 42 Availability Zones (AZs) across 16 geographic regions in the U.S., Australia, Brazil, Canada, China, Germany, India, Ireland, Japan, Korea, Singapore, and the UK. AWS services are trusted by millions of active customers around the world – including the fastest growing startups, largest enterprises, and leading government agencies – to power their infrastructure, make them more agile, and lower costs. To learn more about AWS, visit https://aws.amazon.com.

About Amazon
Amazon is guided by four principles: customer obsession rather than competitor focus, passion for invention, commitment to operational excellence, and long-term thinking. Customer reviews, 1-Click shopping, personalized recommendations, Prime, Fulfillment by Amazon, AWS, Kindle Direct Publishing, Kindle, Fire tablets, Fire TV, Amazon Echo, and Alexa are some of the products and services pioneered by Amazon. For more information, visit www.amazon.com/about and follow @AmazonNews.

Source: Amazon Web Services, Inc.

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