Amazon Web Services announces the availability of C5 instances for Amazon Elastic Compute Cloud

New generation of compute optimized instances includes latest Intel Xeon Scalable processors (Skylake-SP) and custom hardware to deliver a 25 percent improvement in price-performance

SEATTLE, 2017-Nov-08 — /EPR Retail News/ — Today (Nov. 6, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), announced the availability of C5 instances, the next generation of compute optimized instances for Amazon Elastic Compute Cloud (Amazon EC2). Designed for compute-heavy applications like batch processing, distributed analytics, high-performance computing (HPC), ad serving, highly scalable multiplayer gaming, and video encoding, C5 instances feature 3.0 GHz Intel Xeon Scalable processors (Skylake-SP) up to 72 vCPUs, and 144 GiB of memory—twice the vCPUs and memory of previous generation C4 instances—providing the best price-performance of any Amazon EC2 instance. To get started with C5 instances, visit: https://aws.amazon.com/ec2/instance-types/c5/.

Optimized to deliver the right combination of CPU, memory, storage, and networking capacity for a wide range of workloads, all latest generation Amazon EC2 instance families—including C5—feature AWS hardware acceleration that delivers consistent, high performance, low latency networking and storage resources. C5 instances provide networking through the Elastic Network Adapter (ENA), a scalable network interface built by AWS to provide direct access to its networking hardware. Additional dedicated hardware and network bandwidth for Amazon Elastic Block Store (Amazon EBS) enables C5 instances to offer high performance storage through the scalable NVM Express (NVMe) interface. C5 instances introduce a new, lightweight hypervisor that allows applications to use practically all of the compute and memory resources of a server, delivering reduced cost and even better performance. C5 instances are available in six sizes—with the four smallest instance sizes offering substantially more Amazon EBS and network bandwidth than the previous generation of compute optimized instances.

“Customers have been happily using Amazon EC2’s unmatched selection of instances for more than 11 years, yet they’ll always take higher and more consistent performance if it could be offered in a cost-effective way. One of the challenges in taking this next step is how to leverage the cost efficiency of virtualization while consuming hardly any overhead for it,” said Matt Garman, Vice President, Amazon EC2, AWS. “We’ve been working on an innovative way to do this that comes to fruition with Amazon EC2 C5 instances. Equipped with our new cloud-optimized hypervisor, C5 instances set a new standard for consistent, high-performance cloud computing, eliminating practically any virtualization overhead through custom AWS hardware, and delivering a 25 percent improvement in compute price-performance over C4 instances—with some customers reporting improvements of well over 50 percent.”

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. “In our testing, we saw significant performance improvement on Amazon EC2 C5, with up to a 140 percent performance improvement in industry standard CPU benchmarks over C4,” said Amer Ather, Cloud Performance Architect at Netflix. “The 15 percent price reduction in C5 will deliver a compelling price-performance improvement over C4.”

iPromote provides digital advertising solutions to 40,000 small and medium-sized businesses (SMBs). “iPromote processes billions of ad serving bid transactions every day,” said Matt Silva, COO at iPromote. “During testing, C5 instances improved our application’s request execution time by over 50 percent and significantly improved our network performance overall.”

Grail is a life sciences company whose mission is to detect cancer early, when it can be cured. “Our platform processes a huge amount of DNA sequencing data to detect faint tumor DNA signals in a sea of background noise,” said Cos Nicolaou, Head of Technology at Grail. “We are eager to migrate onto the AVX-512 enabled c5.18xlarge instance size. With this change, we expect to decrease the processing time of some of our key workloads by more than 30 percent.”

Alces Flight Compute makes it easy for researchers to spin up High Performance Computing (HPC) clusters of any size on AWS. “With the support for AVX-512, the new c5.18xlarge instance provides a 200 percent improvement in FLOPS compared to the largest C4 instance,” said Wil Mayers, Director of Research and Development for Alces. “This will reduce the execution time of the scientific models that our customers run on the Alces Flight platform. The larger c5.18xlarge size with 72vCPUs reduces the number of instances in the cluster, and has a direct benefit for our user base on both price and performance dimensions.”

Rescale enables customers in the aerospace, automotive, life sciences and energy sectors to run utility supercomputers using AWS. “C5 fully supports NVMe and is ideal for the I/O intensive HPC workloads seen on Rescale’s ScaleX® platform,” Ryan Kaneshiro, Chief Architect at Rescale, said. “C5’s higher clock speed and AVX-512 instruction set will allow our customers to run their CAE simulations significantly faster than on C4 instances.”

Customers can purchase Amazon EC2 C5 instances as On-demand, Reserved, or Spot instances. C5 instances are generally available today in the US East (N. Virginia), US West (Oregon) and, EU (Ireland) regions, with support for additional regions coming soon. They are available in six sizes with 2, 4, 8, 16, 36, and 72 vCPUs.

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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Amazon Web Services announces the next generation of Amazon Elastic Compute Cloud GPU instances

Next generation GPU instances, optimized for machine learning and high performance computing, are the most powerful in the cloud

SEATTLE, 2017-Oct-27 — /EPR Retail News/ — Today (Oct. 26, 2017), Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ: AMZN), announced P3 instances, the next generation of Amazon Elastic Compute Cloud (Amazon EC2) GPU instances designed for compute-intensive applications that require massive parallel floating point performance, including machine learning, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and autonomous vehicle systems. The first instances to include NVIDIA Tesla V100 GPUs, P3 instances are the most powerful GPU instances available in the cloud. To get started with P3 instances, visit https://aws.amazon.com/ec2/instance-types/p3/.

P3 instances allow customers to build and deploy advanced applications with up to 14 times better performance than previous-generation Amazon EC2 GPU compute instances, and reduce training of machine learning applications from days to hours. With up to eight NVIDIA Tesla V100 GPUs, P3 instances provide up to one petaflop of mixed-precision, 125 teraflops of single-precision, and 62 teraflops of double-precision floating point performance, as well as a 300 GB/s second-generation NVIDIA NVLink interconnect that enables high-speed, low-latency GPU-to-GPU communication. P3 instances also feature up to 64 vCPUs based on custom Intel Xeon E5 (Broadwell) processors, 488 GB of DRAM, and 25 Gbps of dedicated aggregate network bandwidth using the Elastic Network Adapter (ENA).

“When we launched our P2 instances last year, we couldn’t believe how quickly people adopted them,” said Matt Garman, Vice President of Amazon EC2. “Most of the machine learning in the cloud today is done on P2 instances, yet customers continue to be hungry for more powerful instances. By offering up to 14 times better performance than P2 instances, P3 instances will significantly reduce the time involved in training machine learning models, providing agility for developers to experiment, and optimizing machine learning without requiring large investments in on-premises GPU clusters. In addition, high performance computing applications will benefit from up to 2.7 times improvement in double-precision floating point performance.”

Airbnb’s community marketplace provides access to millions of unique accommodations and local experiences in more than 65,000 cities and 191 countries. “At Airbnb, we’re using machine learning to optimize search recommendations and improve dynamic pricing guidance for hosts, both of which translate to increased booking conversions. These use-cases are highly specific to our industry and require machine learning models that use several different types of data sources, such as guest and host preferences, listing location and condition, seasonality, and price,” said Nick Handel at Airbnb. “With Amazon EC2 P3 instances, we have the ability to run training workloads faster, enabling us to iterate more, build better machine learning models and reduce cost.”

Schrödinger’s mission is to improve human health and quality of life by developing advanced computational methods that transform the way scientists design therapeutics and materials. “Our industry has a pressing need for performant, accurate, and predictive models to extend the scale of discovery and optimization, complementing and going beyond the traditional experimental approach,” said Robert Abel, Senior Vice President of Science at Schrödinger. “Amazon EC2 P3 instances with their high performance GPUs allow us to perform four times as many simulations in a day as we could with P2 instances. This performance increase, coupled with the ability to quickly scale in response to new compound ideas, gives our customers the ability to bring lifesaving drugs to market more quickly.”

AWS Deep Learning Machine Images (AMIs) are available in AWS Marketplace to help customers get started within minutes. The Deep Learning AMI comes preinstalled with the latest releases of Apache MXNet, Caffe2 and TensorFlow with support for Tesla V100 GPUs, and will be updated to support P3 instances with other machine learning frameworks such as Microsoft Cognitive Toolkit and PyTorch as soon as these frameworks release support for Tesla V100 GPUs. Customers can also use the NVIDIA Volta Deep Learning AMI that integrates deep learning framework containers from NVIDIA GPU Cloud, or start with AMIs for Amazon Linux, Ubuntu 16.04, Windows Server 2012 R2, or Windows Server 2016.

With P3 instances, customers have the freedom to choose the optimal framework for their application. “We are excited to support Caffe2 on the new Amazon EC2 P3 instances. The unparalleled power and capability of P3 instances allow developers to train and run models very efficiently at high scale,” said Yangqing Jia, Research Scientist Manager at Facebook. “It will help new innovations get to customers in hours instead of days by taking advantage of the speed with P3 and our modular, scalable deep learning framework with Caffe2.”

Customers can launch P3 instances using the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDKs. Amazon EC2 P3 Instances are generally available in the US East (N. Virginia), US West (Oregon), EU West (Ireland), and Asia Pacific (Tokyo) regions with support for additional regions coming soon. They are available in three sizes, with one, four, and eight GPUs, and can be purchased On-demand, Reserved or Spot instances.

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.

Source: Amazon Web Services, Inc.

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Amazon Web Services announces availability of P2 instances for Amazon Elastic Compute Cloud

SEATTLE, 2016-Oct-03 — /EPR Retail News/ — Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), today (Sep. 30, 2016) announced the availability of P2 instances, a new GPU instance type for Amazon Elastic Compute Cloud (Amazon EC2) designed for compute-intensive applications that require massive parallel floating point performance, including artificial intelligence, computational fluid dynamics, computational finance, seismic analysis, molecular modeling, genomics, and rendering. With up to 16 NVIDIA Tesla K80 GPUs, P2 instances are the most powerful GPU instances available in the cloud. To get started with P2 instances, visit http://aws.amazon.com/ec2/instance-types/p2/.

P2 instances allow customers to build and deploy compute-intensive applications using the CUDA parallel computing platform or the OpenCL framework without up-front capital investments. To offer the best performance for these high performance computing applications, the largest P2 instance offers 16 GPUs with a combined 192 Gigabytes (GB) of video memory, 40,000 parallel processing cores, 70 teraflops of single precision floating point performance, over 23 teraflops of double precision floating point performance, and GPUDirect technology for higher bandwidth and lower latency peer-to-peer communication between GPUs. P2 instances also feature up to 732 GB of host memory, up to 64 vCPUs using custom Intel Xeon E5-2686 v4 (Broadwell) processors, dedicated network capacity for I/O operation, and enhanced networking through the Amazon EC2 Elastic Network Adaptor.

“Two years ago, we launched G2 instances to support customers running graphics and compute-intensive applications,” said Matt Garman, Vice President, Amazon EC2. “Today, as customers embrace heavier GPU compute workloads such as artificial intelligence, high-performance computing, and big data processing, they need even higher GPU performance than what was previously available. P2 instances offer seven times the computational capacity for single precision floating point calculations and 60 times more for double precision floating point calculations than the largest G2 instance, providing the best performance for compute-intensive workloads such as financial simulations, energy exploration and scientific computing.”

Clarifai provides image and video recognition APIs for some of the world’s most innovative companies. “Deep learning plays a central role in our image and video classification APIs, and high performance GPUs in the AWS Cloud can vastly accelerate inference for our algorithms,” said Matthew Zeiler, CEO, Clarifai. “Amazon EC2 P2 instances will give us the agility to scale up to serving numerous models in parallel, delivering results faster than previously possible without massive capital expenditures, un-utilized hardware, and large data transfers. We will be able to leverage the massive aggregate single precision floating point processing capability of Amazon EC2 P2 instances to reduce inference times for our customers, and substantially reduce the cost of processing.”

Altair Engineering empowers innovation and decision-making through technology that optimizes the analysis, management, and visualization of business and engineering information. “Simulation technology is at the core of Altair’s business and with our GPU solver partner FluiDyna GmbH, we’ve made significant investments in domain decomposition to optimize our computational fluid dynamics (CFD) software, nanoFluidX, for multi-GPU scaling for increased performance and reduced cost,” said Stephen Cosgrove, Director of CFD, Altair. “We’re able to leverage the massive amount of aggregate GPU memory and double precision floating point performance in Amazon EC2 P2 instances to fit more simulations into a single node, significantly reduce customer simulation times, and reduce the cost of running large simulations.”

MathWorks, the leading developer of mathematical computing software, helps millions of engineers, scientists, researchers, and students around the world analyze and design systems and products that are transforming the world. “MATLAB users moving their analytics and simulation workloads onto the AWS Cloud require their analyses to be processed quickly,” said Silvina Grad-Freilich, Senior Product Manager, MathWorks. “The massive parallel floating point performance of Amazon EC2 P2 instances, combined with up to 64 vCPUs and 732 GB host memory, will enable customers to realize results faster and process larger datasets than was previously possible.”

MapD is a GPU database for interactive SQL querying and visualization of multi-billion record datasets. “As the leader in GPU-powered databases and visual analytics applications, we are deeply invested in the emergence of large, cloud-based GPU instances and P2 is the most powerful we have seen,” said Todd Mostak, CEO and Founder, MapD. “Our performance on Amazon EC2 P2 instances is exceptional. On a dollar-to-dollar basis across a set of standard SQL benchmarks, MapD is 78 times faster on Amazon EC2 P2 instances than CPU-based solutions. Furthermore, these speedups were seen over multi-billion row datasets, speaking directly to our ability to deliver performance at scale with these instances. With this launch, our customers can now query and visualize billions of rows of data within milliseconds while enjoying the flexibility, scalability and reliability they have come to expect from AWS.”

Sonus delivers intelligent and secure, cloud optimized solutions for real time communications used by the world’s leading service providers and enterprises. “Real time communications are rapidly evolving, and they require transcoding between formats for use on multiple devices,” said Mykola Konrad, Vice President, Product Management and Marketing, Sonus. “GPUs are becoming more of a disruptor for transcoding services and they offer a cost effective solution for scaling our Session Border Controller application in the cloud. Because of our collaboration with AWS, Sonus has developed the industry’s first GPU optimized session border controller by leveraging the GPU parallel computing power and Enhanced Networking of Amazon EC2 P2 instances, which decreases network costs for our customers.”

Customers can launch P2 instances using the AWS Management Console, AWS Command Line Interface (CLI), AWS SDKs, and third-party libraries. P2 instances are available in three instance sizes: p2.16xlarge with 16 GPUs, p2.8xlarge with 8 GPUs, and p2.xlarge with 1 GPU. P2 instances are available in the US East (N. Virginia), US West (Oregon), and EU (Ireland) Regions.

Amazon Machine Images (AMIs) from AWS, NVIDIA, and other sellers are available in the AWS Marketplace to help customers get started within minutes. The AWS Deep Learning AMI comes preinstalled with MXNet and Caffe deep learning frameworks to enable customers to reduce model training time from weeks to hours. It also lets them experiment with artificial intelligence without making large upfront capital expenditures. The AMI from NVIDIA includes pre-installed drivers and the CUDA toolkit. It’s designed for developers working on a range of GPU-intensive workloads.

About Amazon Web Services

For 10 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 70 fully featured services for compute, storage, databases, analytics, mobile, Internet of Things (IoT) and enterprise applications from 35 Availability Zones (AZs) across 13 geographic regions in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, Korea, Singapore, and India. AWS services are trusted by more than a million 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 http://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.

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Source: Amazon Web Services, Inc.

New Memory Optimized X1 instances available for Amazon Elastic Compute Cloud

  • New memory-optimized instance family features 2 TB of memory and high-performing Intel processors to support large-scale in-memory databases, big data processing, and HPC
  • X1 instances offer more memory than any other SAP-certified cloud instance available today

SEATTLE, 2016-May-20 — /EPR Retail News/ — Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), today announced the availability of X1 instances, a new Memory Optimized instance for Amazon Elastic Compute Cloud (Amazon EC2). X1 instances have 2 TB of memory – the most memory available in any SAP-certified cloud instance available today. Powered by four 2.3 GHz Intel Xeon E7 8880 v3 (Haswell) processors delivering 128 vCPUs, X1 instances also offer up to 10 Gb per second of dedicated bandwidth to Amazon Elastic Block Store (Amazon EBS), making them ideal for running in-memory databases like SAP HANA, big data processing engines like Apache Spark or Presto, and high performance computing (HPC) workloads. X1 instances are certified and available for SAP S/4HANA, SAP Business Suite on HANA (SoH), and SAP Business Warehouse on HANA (BWoH). To get started with X1 instances, visit https://aws.amazon.com/ec2/instance-types/x1/.

“Amazon EC2 provides the most comprehensive selection of instances, offering customers, by far, the deepest compute functionality to support virtually any workload,” said Matt Garman, Vice President, Amazon EC2. “We’ve had a Memory Optimized instance family (our R3 family) for a while that is quite popular for high performance databases, in-memory analytics, and enterprise applications; however, customers have increasingly asked for even more memory to help run analytics on larger data sets with in-memory databases, generate analytics in real time, and create very large caches. With 2 TB of memory – 8 times the memory of any other available Amazon EC2 instance, and more memory than any SAP-certified cloud instance available today – X1 instances change the game for SAP workloads in the cloud. Now, for the first time, customers can run their most memory-intensive applications at scale with the elasticity, flexibility, and reliability of the AWS Cloud, rather than having to battle the complexity, cost, and lack of agility of colo or on-premises solutions.”

AWS customers, across virtually every industry and geography, are running SAP applications on the AWS Cloud and experiencing the agility, scalability, security, and cost savings of the world’s most comprehensive cloud platform for their business applications. Earlier this week, AWS shared that GE Oil & Gas, Kellogg’s, Brooks Brothers, Ferrara Candy Company, GPT Group, Hoya Corporation, Lionsgate, Macmillan Publishers India, RWE Czech Republic, Zappos.com, and Bart & Associates Inc. are among the many customers running SAP on AWS.

Founded in 1818, Brooks Brothers is a leading retailer of fashion wear and accessories in the United States. “Our company already uses AWS for key business-critical SAP applications powered by HANA on AWS,” says Sahal Laher, Executive Vice President and CIO, Brooks Brothers. “With the addition of X1 instances with 2 TB of memory, we’ll be able to rapidly deploy new SAP solutions like S/4HANA, Supply Chain Management (SCM/APO), as well as Fashion Management (FMS) powered by HANA in production on AWS. We’re looking forward to realizing the same benefits with X1 that we’ve experienced thus far with the AWS Cloud, which has allowed us to put greater focus on areas of our business that drive revenue.”

DNAnexus provides scientific stack and data management services, enabling collaborative research to rapidly deliver insights from high resolution genomics, molecular, imaging, and clinical data. “The new X1 instances will be a powerful addition for genomic workflows with high memory demands,” said Omar Serang, Chief Cloud Officer, DNAnexus, Inc. “Complex tasks which require massive computational resources and terabyte-scale memory – de novo genome assembly, sequence scanning and matching applications, and genomic variation annotation programs – will particularly benefit from being able to hold their database in memory.”

Rescale offers industry leading software platforms and hardware infrastructure for companies to perform scientific and engineering simulations. “Our customers are using cloud infrastructure at increasingly large scale, at times launching tens of thousands of CPU cores to run critical engineering simulations,” said Joris Poort, CEO, Rescale. “Some of the engineering applications, in particular circuit and silicon logic simulations, large acoustic models, and electromagnetic frequency analysis, require very large amounts of localized memory near the CPU core for optimal performance. The new X1 instance addresses the needs of these applications, giving teams the ability to run a wider range of simulations, including higher fidelity models, to improve design quality and speed up simulations to reduce product development time.”

X1 instances are available today by customer request in the US East (N. Virginia), US West (Oregon), EU (Ireland), EU (Germany), Asia Pacific (Tokyo),Asia Pacific (Sydney), and Asia Pacific (Singapore) Regions and will expand to additional Regions in the coming months.

About Amazon Web Services

For 10 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 70 fully featured services for compute, storage, databases, analytics, mobile, Internet of Things (IoT) and enterprise applications from 33 Availability Zones (AZs) across 12 geographic regions in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, Korea, and Singapore. AWS services are trusted by more than a million 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 http://aws.amazon.com.

About Amazon
Amazon.com opened on the World Wide Web in July 1995. The company 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.

Source: Amazon.com, Inc.

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AWS’s automated security assessment service Amazon Inspector now generally available to all customers

  • Security service automates vulnerability assessments for customers running applications on Amazon EC2
  • Betterment, CapLinked, Coinbase, Flatiron Health, and University of Notre Dame among the many customers using Amazon Inspector for more agile security

SEATTLE, 2016-Apr-23 — /EPR Retail News/ — Amazon Web Services, Inc. (AWS), an Amazon.com company (NASDAQ:AMZN), today announced that Amazon Inspector, an automated security assessment service, has completed its preview phase and is now generally available to all customers. Amazon Inspector helps customers improve the security and compliance of their applications running on Amazon Elastic Compute Cloud (Amazon EC2) by identifying potential security issues, vulnerabilities, or deviations from security standards. With no up-front costs or infrastructure to manage, Amazon Inspector is easy to deploy and can be integrated into the development lifecycle. With Amazon Inspector, customers pay only for the assessments they run, with the first 250 assessments free for a customer’s first 90 days. To get started with Amazon Inspector, visit https://aws.amazon.com/inspector.

The flexibility and scale of the AWS Cloud make it possible for customers to build and deploy applications and services faster than ever before. However, the manual effort required to assess these applications for security risks – especially at scale – often slows down both application development and IT operations. While traditional vulnerability assessment solutions can automate assessments, they require customers to deploy and manage back-end infrastructure. As deployment and operations models become more agile, both developers and central security teams are looking for a way to more easily conduct security assessments and integrate them into the development and deployment lifecycle. Amazon Inspector makes this possible by providing a rich set of APIs that customers can use to automate security assessments of production systems, and also easily integrate security assessments directly into their existing application deployment processes. With a few clicks in the AWS Management Console, customers can use AWS tags to identify the Amazon EC2 instances they want to assess, specify the associated applications, select from a pre-built list of tests, and set a time duration. Amazon Inspector analyzes an application’s configuration and activity, looking for a wide spectrum of possible vulnerabilities across Amazon EC2 instances, and collecting information such as how the application communicates with other AWS services, whether it uses secure channels, and the network traffic between instances. Amazon Inspector compares this information against AWS’s extensive rules packages, which represent thousands of potential security vulnerabilities that AWS continuously updates with the latest threat intelligence. Once an assessment of the application’s Amazon EC2 environment is completed, customers can view the findings, along with detailed recommendations for remediation, in the Amazon Inspector console.

“Customers have asked us if we could help them do the same rigorous security assessments on their applications that we do for our AWS services,” said Stephen Schmidt, Chief Information Security Officer, AWS. “Amazon Inspector delivers key learnings from our world-class security team as a managed service, so customers benefit from our continuous implementation of best practices and threat intelligence. Companies of all sizes can now perform assessments of their applications in an automated way and proactively remediate vulnerabilities.”

Amazon Inspector deploys on-host agents so customers get insight from inside Amazon EC2 instances and other AWS resources that make up an application environment. Amazon Inspector is also fully integrated with AWS CloudTrail, providing central logging of all security testing activity, giving auditors full visibility into what tests were performed and when, streamlining the process of demonstrating compliance in the development and operations lifecycle.

Flatiron Health is a healthcare IT company with a mission to fight cancer with organized, real-world oncology data. “Our company was founded with the vision of building a disruptive software platform to transform how cancer care is delivered,” said Nicholas Arvanitis, Security Engineer, Flatiron Health. “Dealing with healthcare data of this nature requires us to maintain a high level of systems security while still rapidly innovating. We are excited about the prospect of integrating Amazon Inspector to further automate security assessments throughout our operations lifecycle to ensure that our security scales as quickly as our engineering efforts.”

Betterment is one of the largest independent automated investing services, helping people to manage, protect, and grow their wealth through technology. “At Betterment, our customers are trusting us to help them achieve their financial goals,” said Brandon Wu, Head of Privacy & Security, Betterment. “Making sure we are building security into every aspect of our offering is a key focus for us. The approach of Amazon Inspector as a cloud-based, API-driven security service that can easily be built right into the software development and deployment lifecycle is a scalable approach that resonates.”

Coinbase is one of the most widely used bitcoin wallet and exchange companies. “If we deploy code with a known vulnerability, we’ve already opened up our platform to risk,” said Rob Witoff, Director, Coinbase. “In the new world of continuous deployment and continuous integration, and deployment into immutable environments, we need security tooling that runs inline with our software development and deployment pipeline. Amazon Inspector is helping companies like ours embrace the immutable future and can pull our industry out of the security dark ages.”

Established in 1842, the University of Notre Dame is one of the world’s most prestigious universities. “As we work to place 80 percent of our IT resources in the cloud by 2017, we are taking full advantage of the rich security features available,” said Mike Chapple, Senior Director of IT Service Delivery,University of Notre Dame. “As an information security professional, I’m excited at the opportunity the cloud provides. Amazon Inspector is a great example of how AWS is accelerating investment in security-focused services, and we like the approach of a highly-scalable, API-driven security as a service that we can place throughout our cloud operations.”

The Center for Internet Security (CIS) mobilizes a broad community of stakeholders to contribute their knowledge, experience and expertise to identify, validate, promote and sustain the adoption of cybersecurity’s best practices. “We are very excited to work with AWS to integrate our consensus-based security standards into Amazon Inspector,” said Steve Spano, President and Chief Operating Officer, CIS. “Our hardened machine images can help organizations start secure and stay secure. Together with AWS security services, we can provide organizations with the added confidence to accelerate cloud adoption.”

CapLinked is a platform for enterprises to securely manage and share documents and business transactions in the cloud. “At CapLinked, we are focused on accelerating sensitive financial transactions such as acquisitions, capital raises, audits, and other complex business transactions through a secure, cloud-based collaboration platform,” said Edward Chen, Chief Infrastructure Security Engineer, CISSP. “Helping our customers understand what we do to ensure a high level of protection for their data is paramount. We like that Amazon Inspector is optimized for the cloud, with an approach that fits easily into agile deployment models such as continuous integration and continuous deployment and auto scaling—helping security fit into the advancements we have seen in DevOps.”

Members of the AWS Partner Network (APN), including Alert Logic, Splunk, Sumo Logic, Observable Networks, Palerra, and CloudLock have integrated their security management solutions with Amazon Inspector, enabling customers to fully automate the remediation process. These partners further extend the functionality of Amazon Inspector with their broad set of security services optimized for AWS.

Amazon Inspector is now available as a fully managed service in the US East (N. Virginia), US West (Oregon), EU (Ireland), and Asia Pacific (Tokyo) Regions and will expand to additional Regions in the coming months.

About Amazon Web Services
For 10 years, Amazon Web Services has been the world’s most comprehensive and broadly adopted cloud platform. AWS offers over 70 fully featured services for compute, storage, databases, analytics, mobile, Internet of Things (IoT) and enterprise applications from 33 Availability Zones (AZs) across 12 geographic regions in the U.S., Australia, Brazil, China, Germany, Ireland, Japan, Korea, and Singapore. AWS services are trusted by more than a million 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 http://aws.amazon.com.

About Amazon
Amazon.com opened on the World Wide Web in July 1995. The company 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.

Source: Amazon Web Services, Inc.

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