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
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
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
Today, deep learning is at the forefront of most machine learning implementations across a broad set of business verticals. Driven by the highly flexible nature of neural networks, the boundary of what is possible has been pushed to a point where neural networks outperform humans in a variety of tasks, such as classifying objects in images or mastering video games in a matter of hours. This guide outlines the end-to-end deep learning process implemented on Amazon Web Services (AWS). We discuss challenges in executing deep learning projects, highlight the latest and greatest technology and infrastructure offered by AWS, and provide architectural guidance and best practices along the way.
This paper is intended for deep learning research scientists, deep learning engineers, data scientists, data engineers, technical product managers, and engineering leaders.
The European Union’s new regulatory framework for data protection laws, the General Data Protection Regulation (GDPR), became enforceable on 25 May, 2018. Under GDPR, organisations have new obligations to improve the security and privacy practices for the personal data they collect and use. With these new obligations comes the potential for heavier fines and penalties. Fortunately, Amazon Web Services (AWS) can help guide your organisation toward compliance under the new requirements. Take advantage of our services, resources, and experts as you navigate these changes.
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, and consider each “smart” initiative as an integral part of an overall city system. A smart city reflects a number of aspirations: efficiency, resiliency, connectedness, innovation, and su
This paper examines how cities are using cloud technology to address public challenges, using the framework of the global coalition, Smart Cities Council. This framework promotes three core values for smart cities: livability, providing clean, healthy living conditions without pollution and congestion; workability, providing an enabling infrastructure (energy, transportation, internet connectivity) and high-quality jobs; and sustainability, doing so at no cost to future generations, as the Council puts it. This paper proposes a fourth core value, inclusivity: provisioning services to all city residents regardless of their background.
Government agencies often look to promote new technology for cost-savings and efficiency, but it does not stop there. The second and third-tier effects of technology can be long lasting for citizens, businesses, and economies. When public institutions adopt the cloud, they experience an internal transformation. Inside an organization, cloud usage drives greater accessibility of data and information sharing, increases worker productivity, and improves resource allocation. The external benefit of the cloud is recognized through a government’s ability to put reclaimed time and resources toward serving citizens. This includes provisioning public services, such as occupational-skills training, quicker and more effective service delivery, a pathway to a more productive workforce, and ultimately, a boost to local development. This whitepaper examines the enterprise-level benefits of the cloud, as well as the residual impact on economic development. The U.S. Economic Development Administration
In January 2016, the Federal Risk and Authorization Management Program released a draft of its high-impact baseline for moving federal data to the cloud. Not long after, Amazon Web Services (AWS) accepted an offer to pilot the new security threshold. 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. Over 2,300 government agencies worldwide have already migrated to the AWS Cloud. And in the U.S., this will only increase with the release of FedRAMP’s high baseline standards. Previously, CSPs could only become certified at a low or moderate baseline under FedRAMP, meaning agencies had no security baseline from which to spring their sensitive data into the cloud. These new standards effectively represent the fall of the final formal barrier to federal cloud computing. Terabytes o
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 way AWS services operate, including how customers can address security and encrypt their content, the geographic locations where customers can choose to store content, and the respective roles the customer and AWS each play in managing and securing content stored on AWS services.
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.
Published By: MuleSoft
Published Date: Apr 23, 2019
In today’s competitive landscape, businesses need to make decisions quickly in order to respond to rapidly changing customer preferences and nimble competitors; whether it’s a new business strategy, a new business process, or a new market offering, businesses are competing on speed and agility.
The overwhelming majority of today’s business and IT leaders understand digital transformation is necessary to maintain leverage amid constantly changing customer preferences. They also have a clear picture of their desired end state—exemplified by leaders like Amazon, Google, and Microsoft. However, only a small minority of have a clear understanding of the path they need to lead the market.
In this paper you’ll learn:
How to build digital transformation into the root of your company with a practical, natural, and tested blueprint.
Best practices from over 1,600 enterprises to transform your strategy, organization, and technology from the ground up.
Actionable next steps to start your journ
DigitalOcean commissioned Cloud Spectator to evaluate the performance of virtual machines (VMs) from three different Cloud Service Providers (CSPs): Amazon Web Services, Google Compute Engine and DigitalOcean. Cloud Spectator tested the various VMs to evaluate the CPU performance, Random Access Memory (RAM) and storage read and write performance of each provider’s VMs. The purpose of the study was to understand Cloud service performance among major Cloud providers with similarly-sized VMs using a standardized, repeatable testing methodology. Based on the analysis, DigitalOcean’s VM performance was superior in nearly all measured VM performance dimensions, and DigitalOcean provides some of the most compelling performance per dollar available in the industry.
Over the last several years, DigitalOcean has built out its feature set in a way that has taken it from a provider of cheap and simple virtual machines (VMs) to a legitimate public cloud alternative, most recently adding support for Redis and MySQL to its managed database services. As its services evolve, it continues to experience healthy growth and maintain popularity among the independent developer audience. Over the past two years, DigitalOcean has accelerated the velocity of its feature development, looking to better meet the needs of a business audience. By emphasizing a simplified feature set, pricing structure and user experience, even as it expands its competitive footprint in the shadow of public cloud vendors such as Amazon Web Service (AWS), Microsoft Azure and Google Cloud Platform (GCP), Digital Ocean continues to help define what it means to be an alternative public cloud in a market dominated and largely defined by hyperscalers.
As organizations expand their cloud footprints, they need to reevaluate and consider who has access to their infrastructure at any given time. This can often be a large undertaking and lead to complex, sprawling network security interfaces across applications, workloads, and containers. Aporeto on Amazon Web Services (AWS) enables security administrators to unify their security management and visibility to create consistent policies across all their instances and containerized environments. Join the upcoming webinar to learn how Informatica leveraged Aporeto to create secure, keyless access for all their users.
Delivering complex, enterprise applications requires careful planning and execution to avoid common challenges when scaling. The XebiaLabs DevOps Platform's end-to-end release pipeline orchestration provides the reliability and repeatability needed to overcome those obstacles while deploying on Amazon Web Services (AWS). In this on-demand webinar, XebiaLabs will explore five ways to scale and streamline application deployments on AWS and hybrid environments.
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.
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Published By: Cisco EMEA
Published Date: Mar 05, 2018
Advanced Technology is having a growing impact on our everyday lives. Adoption of advanced technologies and virtual assistants such as Amazon Echo and Google Home are becoming more mainstream in homes. Meanwhile organizations worldwide are increasingly looking at how to implement similar technologies to improve productivity, speed workflows, and increase collaboration among employees, business partners, and even customers.
To date, little is known about perceptions of technologies such as artificial intelligence (AI) and virtual assistants in the workplace and how they will impact how we work in the future.
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).
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time.
This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
Amazon Redshift Spectrum—a single service that can be used in conjunction with other Amazon services and products, as well as external tools—is revolutionizing the way data is stored and queried, allowing for more complex analyses and better decision making.
Spectrum allows users to query very large datasets on S3 without having to load them into Amazon Redshift. This helps address the Scalability Dilemma—with Spectrum, data storage can keep growing on S3 and still be processed. By utilizing its own compute power and memory, Spectrum handles the hard work that would normally be done by Amazon Redshift. With this service, users can now scale to accommodate larger amounts of data than the cluster would have been capable of processing with its own resources.
AbeBooks, with Amazon Redshift, has been able to upgrade to a comprehensive data warehouse with the enlistment of Matillion ETL for Amazon Redshift. In this case study, we share AbeBooks’ data warehouse success story.
Published By: Dell EMC
Published Date: Aug 17, 2017
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).
As more organizations consider a move to the cloud, security remains a top concern. Learn how Alert Logic’s suite of security solutions are designed to provide infrastructure and application security and compliance through a cloud-native model that takes advantage of the AWS business model and elastic scaling capabilities.