Published By: Dell EMC
Published Date: May 08, 2019
ESG recently conducted a quantitative research study to assess companies’ IT Transformation maturity. ESG found that operating a modern server environment, defined as an environment in which operations tasks are more automated than manual, led to a perception of cost parity with the public cloud. Nearly half felt their cost of compute was highly competitive with CSPs and another 48% felt it was generally comparable. This compares favorably to the 19% and 47% respectively among organizations running a legacy server environment. Download this solution brief from Dell EMC and Intel® to learn more.
Red Hat CTO for global service providers, Ian Hood, and TelecomTV talk about multi edge compute capacity and the fundamental need to have a common platform to deliver future services. ‘If you are not feeling some pain, you are not driving fast enough’, says Red Hat CTO, Global Service Provider, Ian Hood. The race to 5G is definitely on, and the use cases are clear. You can talk about multi edge compute capacity and other technical issues, but the fundamental thing is to have a common platform to deliver future services. We need to get to the point where IoT Everywhere, virtualized video and all the applications that come from new 5G services are delivered seamlessly. Even blockchain has a clear future within the telco environment where the world of eSIMs, secure roaming charges and identity management can alls be based on blockchain technology.
Application Delivery Controllers understand applications and optimize server performance - offloading compute-intensive tasks that prevent servers from quickly delivering applications. Learn how ADCs have taken over where load balancers left off.
The average computer room today has cooling capacity that is nearly four times the IT heat load. Using data from 45 sites reviewed by Upsite Technologies, this white paper will show how you can calculate, benchmark, interpret, and benefit from a simple and practical metric called the Cooling Capacity Factor (CCF).
Calculating the CCF is the quickest and easiest way
to determine cooling infrastructure utilization and
potential gains to be realized by AFM improvements.
With the current state of the economy, IT executives are being asked to stretch their budgets in order to keep their businesses profitable. In 2008, Median IT spending per user fell to $6,667 from the previous year's $7,397, according to Computer Economics. This represents a 6.2% reduction, consistent with the fact that IT managers were supporting an increasing number of users without corresponding increases in IT spending. IT spend continued to decline in 2009 and uncertainty and caution is still prevalent in 2010.
In the financial services industry (FSI), high-performance compute infrastructure is not optional; it’s a prerequisite for survival. No other industry generates more data, and few face the combination of challenges that financial services does: a rapidly changing competitive landscape, a complex regulatory environment, tightening margin pressure, exponential data growth, and demanding performance service-level agreements (SLAs).
ealthcare workers understand the complexity of fighting infections better than most. As medications are developed, germs evolve and become resistant to those medications. Over time, germs become incredibly complex and difficult to treat as they continue to evolve and adapt.
Unfortunately, computer viruses seem to be following a similar pattern—and the healthcare industry is struggling to catch up.
Today, mobility is no longer a trend. It’s the new reality — and it is reshaping the enterprise. Gone are the days of employees tethered to desktop computers, and they’re no longer dependent on an Ethernet or wi-fi connection to work remotely. More and more enterprise employees are conducting daily work transactions on mobile devices. Mobility surged to 1.3 billion workers in 2015, continuing a 33 percent growth trend since 2010. These mobile workers aren’t limiting themselves to a single device, either. In just the last year, the number of devices managed by enterprises grew an incredible 72 percent.
In-memory technology—in which entire datasets are pre-loaded into a computer’s random access memory, alleviating the need for shuttling data between memory and disk storage every time a query is initiated—has actually been around for a number of years. However, with the onset of big data, as well as an insatiable thirst for analytics, the industry is taking a second look at this promising approach to speeding up data processing.
Published By: HPE Intel
Published Date: Jan 11, 2016
A famous architect once said that the origin of architecture was defined by the first time “two bricks were put together well.” And the more bricks you have, the more important putting them together well becomes. The same holds true in our data centers. The architecture of our compute, storage and network devices has always been important, but as the demands on our IT infrastructures grow, and we add more “bricks,” the architecture becomes more critical.
Published By: HPE Intel
Published Date: Mar 14, 2016
Innovative companies around the world have embraced a modernized, business-centric approach to IT, delivering orchestrated solutions that help achieve better business results. Now, more efficient and agile servers support this innovation by combining compute, storage, and networking resources to manage entire IT environments as programmable elements that are flexibly tailored to meet changing business demands. With HPE ProLiant Gen9 servers, you can redefine your IT infrastructure so that it’s converged, software-defined, cloud-ready, and workload-optimized. HPE ProLiant Gen9 servers can help organizations align IT infrastructures with key business outcomes: running operations efficiently, accelerating IT service delivery, and increasing business productivity and performance.
Enterprises are looking to innovations like big data, cloud-based services and mobile apps to improve decision making and accelerate business results. But legacy IT implementations—independent compute, storage and networking platforms, veneered with a hypervisor— often can’t deliver on the increased agility, scalability and price performance demands of this new era of IT.
In midsize and large organizations, critical business processing continues to depend on relational databases including Microsoft® SQL Server. While new tools like Hadoop help businesses analyze oceans of Big Data, conventional relational-database management systems (RDBMS) remain the backbone for online transaction processing (OLTP), online analytic processing (OLAP), and mixed OLTP/OLAP workloads.
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
This white paper shows how Microsoft and Cisco have come together and developed a best-of-breed private cloud ecosystem that combines Cisco’s compute and network expertise with Microsoft’s single operating system, data management, and virtualisation capabilities.
Download this asset to learn CRM and BI solutions can help you deliver insights to meet those expectations. They’re not just for the enterprise anymore – but to make the most of them, you’ll need plenty of compute power and scalable data storage.
Sponsored by: HPE and Intel®
The Internet of Things may be a hot topic in the industry but it’s not a new concept. In the early 2000’s, Kevin Ashton was laying the groundwork for what would become the Internet of Things (IoT) at MIT’s AutoID lab. Ashton was one of the pioneers who conceived this notion as he searched for ways that Proctor & Gamble could improve its business by linking RFID information to the Internet. The concept was simple but powerful. If all objects in daily life were equipped with identifiers and wireless connectivity, these objects could be communicate with each other and be managed by computers.
The technology that powers organizations has undergone several major transitions since the birth of computing. In the 1960s, the mainframe was the dominant compute model, and it gave way to minicomputing about a decade later. In the 1990s, businesses eventually shifted to PC-based computing in the client/server era. This model was eventually supplanted by Internet computing as the dominant compute model. Today, the technology industry finds itself in the midst of the most significant transition ever: the shift to mobile computing.
Published By: LogMeIn
Published Date: Mar 19, 2015
In today’s competitive market, you understand the importance of delivering outstanding customer experience while improving service desk productivity and keeping costs low. Remote support solutions enable you to meet these objectives by allowing agents to connect to remote devices and computers, pull system diagnostics and push configurations to deliver personalized hands-on support. With these solutions, you no longer have to walk novice users through detailed recovery procedures or complex settings.
This white paper details how remote support solutions enable your organization to increase customer satisfaction, reduce costs by improving productivity, improve support metrics, and solve complex problems in a highly secure environment.
Rugged and reliable laptop computers critical to heart care in and out of the OR.
Read this case study to learn how Dr Wang and Saving Hearts bring state-of-the-art care to rural areas of China with powerful, rugged, and reliable ThinkPad X1 Carbon laptops from Lenovo.
Download the case study now.
Better technology drives more engaged learning.
Getting students engaged in the classroom is always challenging. Keeping them engaged is often the more difficult battle! Windows 10 Pro paired with innovative Lenovo tablet, laptop, and desktop computers provides the perfect user experience-driven solution — where technology is never a constraint to innovation or engagement.
Learn more, get this eBook.
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.