Das Thema Cloud Computing rückt immer mehr in den Mittelpunkt des Interesses. Und das erwiesenermaßen
zu Recht. In der Tat haben die meisten Unternehmen bereits irgendeine Form eines Cloud-Dienstes in ihre IT- Infrastruktur eingebunden. Während standortgebundene Software und Hybrid-Lösungen den Anforderungen immer weniger gewachsen sind, eröffnen Cloud-Anwendungen neue Möglichkeiten für innovative Lösungen. Diese Lösungen sind zweckmäßig und darüber hinaus einfach zu bedienen und zu managen. Die Cloud stellt die grundlegende Infrastruktur bereit, die innovative Unternehmen benötigen um erfolgreich zu sein.
As flash storage has permeated mainstream computing, enterprises are coming to better understand
not only its performance benefits but also the secondary economic benefits of flash deployment at
scale. This combination of benefits — lower latencies, higher throughput and bandwidth, higher
storage densities, much lower energy and floor space consumption, higher CPU utilization, the need
for fewer servers and their associated lower software licensing costs, lower administration costs, and
higher device-level reliability — has made the use of AFAs an economically compelling choice
relative to legacy storage architectures initially developed for use with hard disk drives (HDDs). As
growth rates for hybrid flash arrays (HFAs) and HDD-only arrays fall off precipitously, AFAs are
experiencing one of the highest growth rates in external storage today — a compound annual growth
rate (CAGR) of 26.2% through 2020.
Published By: Turbonomic
Published Date: Jul 05, 2018
Organizations are adopting cloud computing to accelerate service delivery. Some try to deliver cloud economies of scale in their private data centers with the mantra “automate everything,” a philosophy often simpler in theory than practice. Others have opted to leverage public cloud resources for the added benefit of the pay-as-you-go model, but are finding it difficult to keep costs in check. Regardless of approach, cloud technology poses the same challenge IT has faced for decades: how to assure application performance while minimizing costs.
Exploring four commonalities that drive organziations toward hybrid IT can help you make a business case for expanding and automating your data center.
• Cloud’s role in providing your high-performance computing requirements
• Evolving asset refresh cycle and expansion needs in the face of security threats
• Strategic innovation investments to gain competitive market advantage
As the world of traditional manufacturing fuses with information technology, organizations are tapping into a level of technical orchestration never attainable before. Symphonies of systems facilitate real - time interactions of people, machines, assets, systems, and things. This is the Smart Factory; the factory ecosystem of the future. It is an application of the Industrial Internet of Things (IIoT) built with sets of hardware and software that collectively enable processes to govern themselves through machine learning and cognitive computing
Published By: Workday
Published Date: Sep 14, 2018
This guide from GovLoop offers nine IT priorities that can help state and local governments stay on the cutting edge. Read the guide to learn how the latest trends in recruitment, procurement, and cloud computing technology can help you increase efficiency and reduce costs.
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
Published By: IBM APAC
Published Date: Oct 16, 2018
The latest IBM POWER9 Server is built for the most demanding, data-intensive, computing on earth with an enhanced core and chip architecture. It provides scalability and flexibility to handle changing customer needs while being cloud-ready with industry-leading reliability and performance.
The POWER9 Systems server family has servers that are available for different workloads, IT environments or budget. You can choose from an array of server options that include:
- POWER9 for Enterprise – scale-up
- POWER9 for AIX & IBM I – scale-out
- POWER9 for Linux
- POWER9 for SAP HANA
- POWER9 for Enterprise AI, Deep Learning & Machine Learning
Find out more about these servers to meet the business needs of tomorrow.
Published By: Tripp Lite
Published Date: Jun 28, 2018
Cooling tends to take a back seat to other concerns when server rooms and small to mid-size data centers are first built. As computing needs grow, increased heat production can compromise equipment performance and cause shutdowns. Haphazard data center expansion creates cooling inefficiencies that magnify these heat-related problems. End users may assume they need to increase cooling capacity, but this is often unnecessary. In most cases, low-cost rack cooling best practices will solve heat-related problems. Best practices optimize airflow, increase efficiency, prevent downtime and reduce costs.
Christian Kane is an Enterprise Mobility Management Research Analyst with Forrester Research, where he helps clients develop and improve their desktop and mobile strategy. His research spans mobile hardware, mobile operating systems, mobile device management solutions, and mobile applications.
At a projected market of over $4B by 2010 (Goldman Sachs), virtualizationhas firmly established itself as one of the most importanttrends in Information Technology. Virtualization is expectedto have a broad influence on the way IT manages infrastructure.Major areas of impact include capital expenditure and ongoingcosts, application deployment, green computing, and storage.
This white paper is a business briefing for C-Level Executives on how integrating a range of technologies - including unified communications, service oriented architecture, virtualization and cloud computing - can transform the productivity and profitability of large enterprises.
In the worlds of machine learning (ML) and deep learning (DL), operations and deployment is a subject that often falls by the wayside. In this 1-hour webinar, attendees discover what “AI Ops” looks like today, and where it’s going. Plus the sweet spot of ML/DL training workloads between data center and cloud.
Organizations are faced with providing secure authentication, authorization, and Single Sign On (SSO) access to thousands of users accessing hundreds of disparate applications. Ensuring that each user has only the necessary and authorized permissions, managing the user’s identity throughout its life cycle, and maintaining regulatory compliance and auditing further adds to the complexity. These daunting challenges are solved by Identity and Access Management (IAM) software.
Traditional IAM supports on-premises applications, but its ability to support Software-as-a-Service (SaaS)-based applications, mobile computing, and new technologies such as Big Data, analytics, and the Internet of Things (IoT) is limited. Supporting on-premises IAM is expensive, complex, and time-consuming, and frequently incurs security gaps.
Identity as a Service (IDaaS) is an SaaS-based IAM solution deployed from the cloud. By providing seamless SSO integration to legacy on-premises applications and modern cloud-
Botnets are based on similar principles as legitimate clouds, but serve malicious business interests. Find out more about how botnets work and the right steps after having detected infected machines within your own network.
Using your allotted resources wisely is admirable. However, have you thought in detail about the real costs associated with using “white box” servers? The Cisco Unified Computing System™ (Cisco UCS®) delivers advantages, including a lower total cost of ownership (TCO), beyond those that white-box servers can deliver.
The widespread use of mobile devices — smartphones and tablets — provides anytime, anywhere computing and communications resources for individuals worldwide. Both smartphones and tablets have made the transition from a personal resource, acquired and supported by consumers, to a professional resource, provided and supported by employers. For midsize firms around the world, those with 100–999 employees, mobile resources play a key role in improving workplace productivity as well as allowing greater flexibility in how and where work is done.
New collaboration resources also allow staff in different locations to work together as efficiently and effectively as staff in the same office. The challenge for IT management is how best to coordinate the different collaborative and mobile resources and provide secure management of mobile devices and collaboration tools while enhancing workforce agility and productivity.
In this era of digital disruption, businesses must be more agile to capture opportunities. Many viewed cloud computing technology as the way to do this, promising to address agility, scalability, and cost. But in moving to the cloud, many found that its security, compliance, and performance did not fully meet their needs. Additionally, previous common thought was public cloud is less expensive than private cloud. We now know that is not true in all cases. Savvy businesses realise hybrid IT, which includes both offpremises and on-premises services, enables better agility. After initial experience with public cloud offerings, businesses learned that many workloads are best hosted onpremises, primarily due to security, compliance, performance, control, and cost issues.
Im heutigen Zeitalter bahnbrechender digitaler Neuerungen müssen Unternehmen agiler handeln, um Geschäftschancen nutzen zu können. Viele haben dabei auf die Cloud Computing-Technologie gesetzt, da sie darauf ausgerichtet ist, die Agilität zu verbessern, die Skalierbarkeit zu steigern und die Kosten zu senken. Bei der Umstellung auf die Cloud mussten viele Unternehmen aber feststellen, dass das damit verbundene Maß an Sicherheit, Compliance und Leistung ihren Anforderungen nicht in vollem Umfang gerecht wird. Bisher war man zudem allgemein der Meinung, dass eine Public Cloud kostengünstiger als eine Private Cloud ist. Heute wissen wir, dass dies nicht in allen Fällen zutrifft. Kluge Unternehmen haben erkannt, dass Hybrid IT, die sowohl externe als auch lokale Services umfasst, mehr Agilität ermöglicht.
Over the course of several months in 2011, IDC conducted a research study to identify the opportunities and challenges to adoption of a new technology that changes the way in which traditional business solutions are implemented and used. The results of the study are presented in this white paper.
Cloud computing is rapidly entering an entirely new phase – one destined to prove far more transformative and disruptive than the initial phase of cloud deployment. Cloud is driving a comprehensive transformation of digital assets in organizations of all stripes as IT decision-makers begin to view the emerging cloud construct as a proxy for the transformation of IT itself.
While there are many security concerns in the cloud, this report focuses on 12 specifically related to the shared, on-demand nature of cloud computing. To identify the top concerns, CSA conducted a survey of industry experts to compile professional opinions on the greatest security issues within cloud computing. Download now to learn more.
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.