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June 06, 2018
Have you ever heard about PUE and DCIE? If not, that's regrettable, but perhaps not too uncommon, as both terms stem from the field of "green computing," i.e. research and development of technology and best practices that enable organizations to build environmentally sound IT platforms. In this context, PUE and DCIE provide metrics that can be used to determine how energy-efficient a given infrastructure truly is – meaning, how much power goes into actual computing performance and how much of it is wasted – and what CIOs and their teams can do to minimize both the operating costs and the ecological footprint of data centers.
 
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May 09, 2018
In today's hyper-connected economy, it's almost unimaginable that there once was a time when employees and customers were willing to accept that vital IT services could sometimes become temporarily unavailable due to hardware failures. Even more surprising is the fact that this wasn't during the stone age of modern computing, i.e. the 1980s and 1990s – in fact, that era lasted until maybe 10 to 15 years ago, before we took the 24/7 accessibility of data and computing resources for granted. Since then, outages linked to weak or malfunctioning hardware have been widely derided as signs of incompetence on the part of the teams overseeing IT infrastructures and services. Fujitsu's PRIMERGY servers can help them avoid such critique.
 
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April 30, 2018
Nowadays, we are seeing more and more instances of virtual environments being installed in a private cloud. Since these virtual environments are in many cases similarly configured, it makes sense to automate the configuration procedure. Part 2 of this blog provides a practical example of how to automatically configure a Solaris Zone with Puppet.
 
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April 26, 2018
Nowadays, we are seeing more and more instances of virtual environments being installed in a private cloud. Since these virtual environments are in many cases similarly configured, it makes sense to automate the configuration procedure.
 
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April 16, 2018
From the early 2000s into the first half of the 2010s, blade systems were the platform of choice for many companies that had to shoulder large computing and storage requirements while at the same time coping with budget and space restrictions. Meanwhile, however, the former cost-cutters are facing serious technical challenges that in turn are likely to drive up infrastructure spending. The best way to avoid this predicament is to progressively retire blade systems and replace them with a set of modular servers that provide identical or better functionality while also allowing for efficient data center operation and management.
 
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April 10, 2018
As more and more businesses are deploying high-volume, high-value workloads such as OLTP or real-time analytics, data centers are struggling to strike a balance between performance and reliability on one hand, and space and cost efficiency on the other. Fujitsu's new PRIMEQUEST 3x00E systems help them achieve that goal much faster and with higher accuracy than before.
 
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March 09, 2018
Even in this age of cloud computing and "Everything-as-a-Service," robust and cost-efficient tower servers still form the infrastructure backbone for many small, medium and large enterprises. Fujitsu's new PRIMERGY TX2550 M4 tower system adds the latest technologies and options to an already solid design concept proven via its TX2560 M2 and TX2540 M1 platforms. As a result, the TX2550 M4 provides powerful performance for a wide range of workloads, and at the right economics.
 
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January 09, 2018
In our previous 3-part blog, we explained how to configure a Hadoop Cluster Node environment. The following entry illustrates how to properly set up Apache Spark™ as part of the intended environment. Unfortunately, presenting our case in a single piece would likely provoke many TL;DR reactions, so we opted for another mini-series. Below is part 3, which describes the required software installation; part 1 is available here; and part  2 resides here.
 
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December 06, 2017
Have you ever wondered what might happen once the ever-increasing amount of data stashed in today's storage systems hits upon a certain threshold and becomes too big for conventional analytics? Then you're probably on the same page as the researchers and engineers who have developed the discipline of High Performance Data Analytics, or HPDA for short, in recent years. This blog discusses some of HPDA's key concepts – and explains how Fujitsu's new PRIMEFLEX for HPC solution can help customers tackle the challenge of analyzing a ceaseless stream of data when retrieving real time information is critical to your business.
 
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December 05, 2017
In our previous 3-part blog, we explained how to configure a Hadoop Cluster Node environment. The following entry illustrates how to properly set up Apache Spark™ as part of the intended environment. Unfortunately, presenting our case in a single piece would likely provoke many TL;DR reactions, so we opted for another mini-series. Below is part 2, which describes the required software installtion; part 1 is available here; and part 3 will follow soon.
 
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November 22, 2017
In our previous 3-part blog, we explained how to configure a Hadoop Cluster Node environment. The following entry illustrates how to properly set up Apache Spark™ as part of the intended environment. Unfortunately, presenting our case in a single piece would likely provoke many TL;DR reactions, so we opted for another mini-series. Below is part 1; parts 2 and 3 will follow over the next two weeks.
 
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November 07, 2017
Over the summer, Intel launched its long-awaited, highly-touted Xeon® Processor Scalable family of CPUs, which was supposed to simplify cloud computing and virtualization as well as HPC and AI scenarios and drove the release of new server designs from the world's leading ICT vendors. Among the first products available on the market was Fujitsu's 2017 class of dual- and quad-socket rack and scale-out systems, collectively dubbed PRIMERGY M4. This fall, we are launching the 'second wave' of these systems, starting with the FUJITSU Server PRIMERGY RX2520 M4, the scalable rack server for essential business apps.
 
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October 09, 2017
The idea of Artificial Intelligence (AI) – a sapient, if not sentient entity created by humans in their own image – has fascinated people since ancient Egyptian sculptors alleged they were able to breathe life into the sacred statues they carved out of stone. Since then, the concept hasn't lost its attraction, although it didn't always come with positive connotations, in literature and movies at least. Over the past 60 years, however, scientists and engineers have tried to devise more humane forms of AI – devices that may help us solve existential problems instead of creating them. NVIDIA's GTC Europe conference provides us with a perfect platform to demonstrate our most recent advancements in the field.
 
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October 04, 2017
The FUJITSU PRAID EP440i TFM and EP440i TFM SafeStore RAID controllers set new speed and data security standards for the operation of RAIDs. They combine FUJITSU's advanced technology and experience in order to ensure that business users will benefit from all the advantages of redundant disk arrays.
 
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September 26, 2017
In part 1 and part 2 of this series, we set up a Hadoop cluster configuration. Today's third and final piece provides step-by-step instructions on how to start and verify operation of the Hadoop cluster environment.
 
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September 22, 2017
In our previous blogs, we explained how to configure a Hadoop Single Node environment here and here. In today's edition, we'll explain the introductory steps that are necessary for configuring a Hadoop Cluster Node environment for Oracle VMs on SPARC. This is the second installment in a three-piece series.
 
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September 19, 2017
In our previous blogs, we explained how to configure a Hadoop Single Node environment here and here. In today's edition, we'll explain the introductory steps that are necessary for configuring a Hadoop Cluster Node environment. This is part 1 of a three-piece series.
 
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September 12, 2017
Fujitsu's PRIMEQUEST servers are targeted at business and mission-critical computing. They offer highest availability and business continuity as well as highest performance combined with a new operational efficiency and truly open standards. The newest addition to the PRIMEQUEST range is the 3800B that has been designed to handle demanding corporate databases, in-memory solutions and business-critical applications.
 
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September 04, 2017
In part 1 of this blog series, I provided instructions on configuring a Spark cluster environment using Hadoop YARN running on highly-reliable Fujitsu M10/Fujitsu SPARC M12 servers. By taking advantage of enterprise-grade, highly reliable hardware, customers can avoid a Single Point of Failure (SPOF) in a Hadoop environment. In part 2, we provide step-by-step instructions on how to configure a Hadoop Single Node environment and will continue in subsequent blogs.
 
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September 01, 2017
When I started my career in IT, SPARC/Solaris was the platform of choice for system development, from small-scale systems to mission critical systems. Most open source software (OSS) was also first developed on Solaris and then migrated to other platforms. In recent years the performance and reliability of the Intel Architecture (IA) platform have grown, and most OSS has been developed using IA/Linux, but SPARC/Solaris continues to evolve. Integrated development of OS and hardware create strong advantages for each platform. For example, in Fujitsu M10/Fujitsu SPARC M12, as CPU functions such as SWoC (Software on Chip) are enhanced, extensions to automatically use SWoC functions are implemented in Solaris OS. This results in higher reliability of Fujitsu M10/Fujitsu SPARC M12 hardware to ensure stable operation of the IT system. In addition, many OSS have been optimized for the latest version of Solaris, which makes stable OSS operation possible. Oftentimes, I receive inquiries about the combination of SPARC/Solaris and OSS from customers who understand the advantages of SPARC/Solaris and continue to use it. In this blog, I explore the use of SPARC/Solaris in a wider range of fields.
 
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