Think back just 5 years ago. In 2014… • The seminal DevOps book—Gene Kim’s The Phoenix Project—was one year old • Gartner predicted that 25% of Global 2000 enterprises would adopt DevOps to some extent by 20161 • "Continuous Testing” just started appearing in industry publications and conferences2 • Many of today’s popular test frameworks were brand new—or not yet released • The term “microservices” was just entering our lexicon • QC/UFT and ALM were still sold by HP (not even HPE yet) • Only 30% of enterprise software testing was performed fully “in house”3 • There was no GDPR restricting the use of production data for software testing • Packaged apps were typically updated on an annual or semi-annual basis and modern platforms like SAP S/4HANA and Salesforce Lightning hadn’t even been announced Times have changed—a lot. If the way that you’re testing hasn’t already transformed dramatically, it will soon. And the pace and scope of disruption will continue to escalate throughout the fo

Let’s face it. Businesses don’t want—or need—perfect software. They want to deliver new, businessdifferentiating software as soon as possible. To enable this, we (Development and Testing teams) need fast feedback on whether the latest innovations will work as expected or crash and burn in production. We also need to know if these changes somehow broke the core functionality that the customer base—and thus the business—depends upon. This is where Continuous Testing comes in. Continuous Testing is the process of executing automated tests as part of the software delivery pipeline in order to obtain feedback on the business risks associated with a software release candidate as rapidly as possible.

The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and the need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.

Michael Sherwood, CIO of City of Las Vegas, explains how implementing Darktrace’s Enterprise Immune System with its autonomous defense capability fundamentally transformed his team’s cyber security posture. Whether upstream, midstream, or downstream, Darktrace can be deployed to protect oil and gas production and transportation. Remote deployments on rigs can include local modeling and analysis, as well as central correlation for security monitoring of all assets. Darktrace appliances can support low-bandwidth and inhospitable environments through the use of ruggedized industrial probes. With Darktrace’s Industrial Immune System, the entire infrastructure is visualized and protected, including Industrial IoT and ICS.

When any organization starts planning for cloud-native applications, it is important to consider the entire time span: from selecting a development platform until an application is truly production-grade and ready for delivery in the cloud. It can be a long journey, with many decisions along the way that can help or hinder progress. For example, at the beginning of a move to cloud-native development, it is easy for inefficiencies to occur if developers begin selecting tools and frameworks before they know where the application will be deployed. While enterprise developers want choice of runtimes, frameworks, and languages, organizations need standards that address the entire application life cycle in order to reduce operational costs, decrease risks, and meet compliance requirements. Organizations also want to avoid lock-in, whether it is to a single provider of cloud infrastructure or the latest architectural style. In addition, given the steep learning curve in cloud development, con

"Spend Management is the planning, process, and system of managing business dollars to positively affect the production of products and services. Spend management usualy includes processes relating to procurement, supply chain management, and outsourcing. Optimal spend management relies on the ability to understand and control company spend through automation tools and analytics. Steps to Strategic Spend Management All CFOs are concerned with how their company is spending its money. However, this is of particular concern for CFOs of small to mid-size businesses who need to manage their cash flow effectively to survive. To survive and maintain a competitive advantage, companies need to be strategic in their spend management and identify ways to invest wisely to meet current demands and fuel growth for the future. Expense and invoice management can no longer be viewed as simply a cost center. Download this white paper to explore five initiatives that can help guide your company towa

The media and entertainment industry was valued at $1.81 trillion in 2016, and is expected to reach $2.14 trillion by 2020. Activities within this industry have grown over the last couple of years, and now range from creating content for movies, TV and games, to delivering that content. This is increasingly performed via on-demand data networks rather than traditional over-the-air broadcasting, watched over high resolution displays that enhance the overall viewing experience of the user, and even the latter is being delivered from the same storage repositories. Media production is also now prevalent in areas not traditionally associated with this activity, such as training, museums, and education.

Intel's factories rely on thousands of PCs for manufacturing automation; keeping these PCs up and running can prevent expensive downtime. To manage these systems, Intel IT is using the Intel vPro platform's hardware- based feature, Intel Active Management Technology (Intel AMT), to help reduce production downtime caused by PC incidents by 87.5 percent.

The goal of ESG Lab reports is to educate IT professionals about data center technology products for companies of all types and sizes. ESG Lab reports are not meant to replace the evaluation process that should be conducted before making purchasing decisions, but rather to provide insight into these emerging technologies. Our objective is to go over some of the more valuable feature/functions of products, show how they can be used to solve real customer problems and identify any areas needing improvement. ESG Lab's expert third party perspective is based on our own hands on testing as well as on interviews with customers who use these products in production environments.

Industrial enterprises around the world are retooling their factories with advanced technologies to boost manufacturing flexibility and speed, achieving new levels of overall equipment effectiveness (OEE), supply chain responsiveness, and customer satisfaction in the process. This renaissance reflects very real pressures industry players face today. For years, traditional factories have been operating at a disadvantage, impeded by production environments that are “disconnected”—at the very least strictly gated—to corporate business systems, to supply chains, and to customers and partners.

The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence. This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.

Discover how the supply chain is undergoing tremendous change; once a complicated, siloed bundle of functions ranging from manufacturing to production and delivery, the supply chain is now extended to reflect the importance of networks to the modern business. Learn how these networks connect businesses to customers.

© 2018 Carbonite, Inc. All rights reserved. Case study Diamond Foods’ Diamond of California® nuts are household staples for shoppers across the U.S. But constantly filling grocery store shelves with snacks requires intricate supply chain management that relies on critical business data, including complex spreadsheets and enterprise resource planning files, to keep production and deliveries on schedule. “If our critical servers go down or we lose important data on employee laptops, it has a direct impact on our bottom line,” says Kentrell Davis, Senior Client Support Services Analyst at Diamond Foods.

Ensures IT can drive success in the future AEW Energie can now be confident that it has the IT to support new developments. With energy demands increasing and authorities applying pressure for cleaner energy production, companies such as AEW Energie continue to look for ways to solve those challenges. AEW Energie now has a reliable and efficient IT infrastructure that helps support innovation in the firm’s efforts to find the right solutions and meet the needs of multiple stakeholders.

Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape.

La technologie Dell EMC pour l’industrie exploite le stockage, les stations de travail et le calcul hautes performances en combinant leurs fonctionnalités pour améliorer les produits, développer des processus de conception et de production plus efficaces et répondre aux préférences en constante évolution des clients. La collecte, l’assemblage et l’intégration d’un nombre croissant de données dans l’ensemble de l’écosystéme, de la modélisation du produit aux tendances d’aprés-vente, font de l’usine numérique une réalité puissante et nécessaire dans l’environnement de production. En savoir plus sur les solutions Dell en collaboration Intel® Xeon® processors

Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors

Dell EMC technology for Digital Manufacturing harnesses the workstation, HPC and storage capabilities that combine to enable better products, more efficient design and production processes, and meet rapidly changing customer preferences. Collecting, collating and digesting more and more data in the entire ecosystem, from product modelling to after-sales trends, are making the digital factory a powerful and necessary reality in the manufacturing landscape. Learn more about Dell Precision® workstations featuring Intel® Xeon® processors

3D printing emerged as a prototyping technology in the 1980s, and has been rapidly evolving ever since. The ongoing developments of the last few decades have transformed 3D printing (also called additive manufacturing), into a viable and cost-effective technology throughout the production environment: from prototyping, to production enablement, to direct 3D production. Companies that utilize 3D printing can attain and cement a leadership position in their industry through the time, cost, and capability advancements 3D printing makes possible. This ebook provides an overview of the 3D printing technology and material advancements in 3D Systems’ plastic additive manufacturing that extend the addressable range of production applications.

To stay competitive, manufacturers have to meet the rapidly changing needs of customers while retaining high quality products, at the same time as controlling costs. Product lifetimes are shrinking and customers are expecting more customization and innovation. Agility is the key to staying ahead of the competition and meeting the needs of customers. The FabPro 1000 entry-level industrial 3D printer delivers production-grade parts, at high speed, with six sigma repeatability, and can be used across a distributed manufacturing and engineering enterprise. With a low cost of entry, FabPro 1000 enables agile manufacturing operations to meet customer needs rapidly and effectively empowers engineers to deliver more value and quality in the product development process. To find out more download this whitepaper today!

Drawing on industry research, we've put together this easy-to-read report on the top seven trends driving the printing industry. These global seven are trends the shaping landscape print the of production business. In the print service industry, growing your business is the only way to survive. Watch this video today to find out more.

Voulez-vous savoir quelles sont les tendances qui transforment la production imprimée en ce moment? Regardez cette vidéo pour découvrir.

High-profile data breaches continue to make headlines as organizations struggle to manage information security in the face of rapidly changing applications, data centers, and the cloud. Against this backdrop, data masking has emerged as one of the most effective ways to protect sensitive test data from insider and outsider threats alike. While masking is now the de facto standard for protecting non-production data, implementing it alongside virtual data technologies has elevated its effectiveness even further.

Today's test data management (TDM) solutions force teams to work with compromised data sets, and push testing to too late in the software development lifecycle. The end result is rework, delayed releases, and costly bugs that cripple production systems. Furthermore, prevailing approaches to test data management - including subsetting, synthetic data, shared environments, and standalone masking--represent flawed solutions that fail across one or more key dimensions.

The UK’s world class reputation for advanced engineering and manufacturing is underpinned by the thousands of vital companies supplying our sectors with materials, components, production machinery and equipment, testing equipment, and power generation equipment.