Organizations can now fully automate hybrid cloud architecture deployments, scaling both multitiered and distributed applications across different cloud environments, including Amazon Web Services (AWS) and Google Cloud Platform (GCP). Ready to learn more about hyperconverged infrastructure and the Nutanix Enterprise Cloud? Contact us at info@nutanix.com, follow us on Twitter @nutanix, or send us a request at www.nutanix.com/demo to set up your own customized briefing and demonstration to see how validated and certified solutions from Nutanix can help your organization make the most of its enterprise applications.

Rapid change is underway in the world of digital government. This is not only being driven by huge advances in technology, but also a global community unified by new thinking, bold ideas, and cost-effective, scalable solutions.

Regardless of whether your data resides on-premises, in the cloud, or a combination of both, you are vulnerable to security threats, data breaches, data loss, and more. Security is often cited as a concern for organizations who are migrating to the public cloud, but the belief that the public cloud is not secure is a myth. In fact, the leading public cloud service providers have built rigorous security capabilities to ensure that your applications, assets, and services are protected. Security in the public cloud is now becoming a driver for many organizations, but in a rapidly evolving multicloud environment, you must keep up with changes that might impact your security posture. This eBook outlines the three core recommendations for cloud security across Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform.

Both the speed of innovation and the uniqueness of cloud technology is forcing security teams everywhere to rethink classic security concepts and processes. In order to keep their cloud environment secure, businesses are implementing new security strategies that address the distributed nature of cloud infrastructure. Security in the cloud involves policies, procedures, controls, and technologies working together to protect your cloud resources, which includes stored data, deployed applications, and more. But how do you know which cloud service provider offers the best security services? And what do you do if you’re working on improving security for a hybrid or multicloud environment? This ebook provides a security comparison across the three main public cloud providers: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). With insight from leading cloud experts, we also analyze the differences between security in the cloud and on-premises infrastructure, debunk

City leaders around the world can consider the examples cited in this paper as they plan for the future. From predicting the weather and improving public transportation routes – to mitigating complex public health crises, leaders have a plethora of technology resources available to them. There’s no shortage of data to help inform their strategies and ultimately make cities more resilient. What leaders do with this data, and how effectively they involve their constituents in the solution, will determine their success

City leaders around the world are working to improve the quality of life and increase the number of useful services for their citizens, businesses, and visitors. Smart city initiatives are gaining attention in several countries, as administrators, industry, and citizens are working together to enhance their communities, cities, regions, and nations. After more than ten years of smart city hype, innovative projects have emerged, but few have provided a disruptive impact on the city system itself. Because every city is different, few of the existing models apply universally. An effective response requires leaders to consider a series of prerequisites: • Consider the local culture and the people • Prioritize basic needs and requests • Work at overcoming silos and encourage collaboration across departments • Consider each “smart” initiative as an integral part of an overall city system A smart city reflects a number of aspirations: efficiency, resiliency, connectedness, innovatio

Technology empowers governments to improve how and when they reach citizens. It improves the quality and accessibility of public services, ultimately creating a more productive environment where citizens can thrive. Leveraging the cloud is one way governments can accelerate this shift, with benefits occurring first inside the institution.

Local and regional governments around the world are using the cloud to transform services, improve their operations, and reach new horizons for citizen services. The Amazon Web Services (AWS) cloud enables data collection, analysis, and decision making for smarter cities. This whitepaper provides strategic considerations for local and regional governments to consider as they identify which IT systems and applications to move to the cloud. Real examples that show how cities can stop wasting money, move faster, and innovate.

Amazon Web Services (AWS) offers scalable, cost-efficient cloud services that public sector customers can use to meet mandates, reduce costs, drive efficiencies, and accelerate innovation. The procurement of an infrastructure as a service (IaaS) cloud is unlike traditional technology purchasing. Traditional public sector procurement and contracting approaches that are designed to purchase products, such as hardware and related software, can be inconsistent with cloud services (like IaaS). A failure to modernize contracting and procurement approaches can reduce the pool of competitors and inhibit customer ability to adopt and leverage cloud technology

Innovation requires many ingredients: a great idea, creativity, persistence, the right data, and technology. Governments around the world are taking advantage of the cloud to reduce cost and transform the way they deliver on their mission. The expectations of an increasingly digital citizenry are high, yet all levels of government face budgetary and human resource constraints. Cloud computing (on-demand delivery of IT resources via the Internet with pay-as-you-go pricing) can help government organizations increase innovation, agility, and resiliency, all while reducing costs. This whitepaper provides guidelines that governments can use to break down innovation barriers and achieve a digital transformation that helps them engage and serve citizens.

AWS worked with FedRAMP to develop a set of standards under which highly sensitive government data could securely migrate into cloud environments. If ever you doubted that cloud computing was the new frontier for federal data and software management, look around

Amazon Web Services (AWS) provides rapid access to flexible and low cost IT resources. With cloud computing, public sector organizations no longer need to make large upfront investments in hardware, or spend time and money on managing infrastructure. The goal of this whitepaper is to help you gain insight into some of the financial considerations of operating a cloud IT environment and learn how to maximize the overall value of your decision to adopt AWS.

This document provides information to assist customers who want to use AWS to store or process content containing personal data, in the context of common privacy and data protection considerations. It will help customers understand:

The goal of this review is to educate customers on the capabilities that Cisco’s SD-WAN solution provides when working with Amazon Web Services (AWS). ESG describes Cisco’s solution and highlights the business value it can deliver to customers via its integration with AWS. ESG completed this summary as part of an AWS-commissioned report to review nine SD-WAN vendors. Readers should use this review as a starting point when investigating how they can leverage the combination of AWS and Cisco for business advantage. I would like to receive email communications about products & offerings from Cisco & its Affiliates. I understand I can unsubscribe at any time. For more information on how Cisco collects and uses personal information, please see the Cisco Online Privacy Statement.

The Cloud, once a radical idea in IT, is now mainstream. Whether it’s email, backup or file sharing, most consumers probably use a cloud service or two. Similarly, most IT professionals are familiar with cloud service providers such as Amazon, Google and Microsoft Azure, and many companies have moved at least some of their information technology processes into the cloud. In fact, the cloud has become so popular it’s easy to assume that running IT applications on-premises is not cost competitive with a cloud based service. In this report Evaluator Group will test the validity of that assumption with a TCO (Total Cost of Ownership) model analyzing a hyperconverged appliance solution from HPE and a comparable cloud service from Amazon Web Services (AWS).

For many companies the appeal of the public cloud is very real. For tech startups, the cloud may be their only option, since many don’t have the capital or expertise to build and operate the IT systems their businesses need. Existing companies with established data centers are also looking at public clouds, to increase IT agility while limiting risk. The idea of building-out their production capacity while possibly reducing the costs attached to that infrastructure can be attractive. For most companies the cloud isn’t an “either-or” decision, but an operating model to be evaluated along with on-site infrastructure. And like most infrastructure decisions the question of cost is certainly a consideration. In this report we’ll explore that question, comparing the cost of an on-site hyperconverged solution with a comparable set up in the cloud. The on-site infrastructure is a Dell EMC VxRailTM hyperconverged appliance cluster and the cloud solution is Amazon Web Services (AWS).

One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions. This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.

Les technologies d'intelligence artificielle telles que l'apprentissage machine et le Deep Learning permettent d'obtenir des informations et de la précision à deux marques majeures dans des secteurs très différents : la santé et les assurances. Des théories sur les futures incidences de l'intelligence artificielle (IA) sur les entreprises et la société vont florissantes. Mais la réalité du terrain aujourd'hui pour les entreprises et les dirigeants appliquant des technologies comme l'apprentissage machine et l'apprentissage profond à leurs enjeux majeurs est déjà très enthousiasmante. Les modèles de fonctionnement sont refondés en se basant sur les informations obtenues de puissantes capacités cognitives. De nouveaux produits et services améliorent l'expérience client, voire la condition humaine. D'une façon très concrète et significative, l'IA change le monde pour le meilleur.

AI-Technologien wie Machine Learning und Deep Learning liefern zwei großen Marken in zwei sehr unterschiedlichen Branchen – Gesundheit und Versicherungen – Insights und Genauigkeit. Theorien zu den zukünftigen Auswirkungen künstlicher Intelligenz (AI) auf die Geschäftswelt und die Gesellschaft sind allgegenwärtig. Aber die Realität, wie Unternehmen sie kennen, die Technologien wie Machine Learning und Deep Learning anwenden, ist schon aufregend genug. Geschäftsmodelle werden anhand der Insights umgestaltet, die durch die leistungsstarken kognitiven Funktionen generiert werden. Neue Produkte und Dienstleistungen verbessern das Benutzererlebnis – um nicht zu sagen die menschliche Existenz. Auf sehr reale und bedeutsame Weise verbessert AI die Welt.

What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.

Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes. This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.

As easy as it is to get swept up by the hype surrounding big data, it’s just as easy for organizations to become discouraged by the challenges they encounter while implementing a big data initiative. Concerns regarding big data skill sets (and the lack thereof), security, the unpredictability of data, unsustainable costs, and the need to make a business case can bring a big data initiative to a screeching halt. However, given big data’s power to transform business, it’s critical that organizations overcome these challenges and realize the value of big data. Download now to find out more.

IDC’s research has shown the movement of most IT workloads to the cloud in the coming years. Yet, with all the talk about enterprises moving to the cloud, some of them still wonder if such a move is really cost effective and what business benefits may result. While the answers to such questions vary from workload to workload, one area attracting particular attention is that of the data warehouse. Many enterprises have substantial investments in data warehousing, with an ongoing cost to managing that resource in terms of software licensing, maintenance fees, operational costs, and hardware. Can it make sense to move to a cloud-based alternative? What are the costs and benefits? How soon can such a move pay itself off? Download now to find out more.

Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.

Die Recherchen von IDC haben ergeben, dass in den nächsten Jahren die meisten IT-Workloads in die Cloud verschoben werden. Doch neben all den positiven Berichten über Unternehmen, die in die Cloud umziehen, gibt es auch Unternehmen, die sich noch immer fragen, ob ein solcher Wechsel wirklich kosteneffizient ist und welche Vorteile sich aus einem solchen ergeben. Während die Antworten auf solche Fragen von Workload zu Workload variieren, gibt es ein Element, das besondere Aufmerksamkeit auf sich zieht: das Data-Warehouse.