Intel tightens data-center grip with Xeon Scalable Processor platform

Make no mistake: Intel's Xeon Processor Scalable Family, based on the company's Skylake architecture, is about much more than revving up CPU performance. The new processor line is essentially a platform for computing, memory and storage designed to let data centers -- groaning under the weight of cloud traffic, ever-expanding databases and machine-learning data sets -- optimize workloads and curb operational costs.In order to expand the market for its silicon and maintain its de facto processor monopoly in the data center, Intel is even starting to encroach on server-maker turf by offering what it calls Select Solutions, generally referred to in the industry as engineered systems -- packages of hardware and software tuned to specific applications.To read this article in full or to leave a comment, please click here

Intel tightens data-center grip with Xeon Scalable Processor platform

Make no mistake: Intel's Xeon Processor Scalable Family, based on the company's Skylake architecture, is about much more than revving up CPU performance. The new processor line is essentially a platform for computing, memory and storage designed to let data centers -- groaning under the weight of cloud traffic, ever-expanding databases and machine-learning data sets -- optimize workloads and curb operational costs.In order to expand the market for its silicon and maintain its de facto processor monopoly in the data center, Intel is even starting to encroach on server-maker turf by offering what it calls Select Solutions, generally referred to in the industry as engineered systems -- packages of hardware and software tuned to specific applications.To read this article in full or to leave a comment, please click here

Intel tightens data-center grip with Xeon Scalable Processor platform

Make no mistake: Intel's Xeon Processor Scalable Family, based on the company's Skylake architecture, is about much more than revving up CPU performance. The new processor line is essentially a platform for computing, memory and storage designed to let data centers -- groaning under the weight of cloud traffic, ever-expanding databases and machine-learning data sets -- optimize workloads and curb operational costs.In order to expand the market for its silicon and maintain its de facto processor monopoly in the data center, Intel is even starting to encroach on server-maker turf by offering what it calls Select Solutions, generally referred to in the industry as engineered systems -- packages of hardware and software tuned to specific applications.To read this article in full or to leave a comment, please click here

Rough Guide to IETF 99: DNS Privacy and Security, including DNSSEC

There's a good bit of DNS secrurity and privacy activity happening at IETF 99 next week in Prague, although not all of that is in working groups. Here is a view of what is going on.

IETF 99 Hackathon

Once again there will be a good-sized "DNS team" at the IETF 99 Hackathon over the weekend (15-16 July). The IETF 99 Hackathon wiki outlines the work (scroll down to see it). From a security point of view, major projects include:

Dan York

Securing the AtSea App with Docker Secrets

Passing application configuration information as environmental variables was once considered best practice in 12 factor applications. However, this practice can expose information in logs, can be difficult to track how and when information is exposed, third party applications can access this information. Instead of environmental variables, Docker implements secrets to manage configuration and confidential information.

Secrets are a way to keep information such as passwords and credentials secure in a Docker CE or EE with swarm mode. Docker manages secrets and securely transmits it to only those nodes in the swarm that need access to it. Secrets are encrypted during transit and at rest in a Docker swarm. A secret is only accessible to those services which have been granted explicit access to it, and only while those service tasks are running.

The AtSea Shop is an example storefront application that can be deployed on different operating systems and can be customized to both your enterprise development and operational environments. The previous post showed how to use multi-stage builds to create small and efficient images. In this post, I’ll demonstrate how secrets are implemented in the application.

Creating Secrets

Secrets can be created using the command line or with a Compose file. The AtSea Continue reading

The X86 Battle Lines Drawn With Intel’s Skylake Launch

At long last, Intel’s “Skylake” converged Xeon server processors are entering the field, and the competition with AMD’s “Naples” Epyc X86 alternatives can begin and the ARM server chips from Applied Micro, Cavium, and Qualcomm and the Power9 chip from IBM know exactly what they are aiming at.

It is a good time to be negotiating with a chip maker for compute power.

The Skylake chips, which are formally known as the Xeon Scalable Processor family, are the result of the convergence of the workhorse Xeon E5 family of chips for two-socket and four-socket servers with the higher-end Xeon E7

The X86 Battle Lines Drawn With Intel’s Skylake Launch was written by Timothy Prickett Morgan at The Next Platform.

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Fun and Informative Events

  • DBTA Roundtable OnDemand Webinar: Leveraging Big Data with Hadoop, NoSQL and RDBMS. Watch this recent roundtable discussion hosted by DBTA to learn about key differences between Hadoop, NoSQL and RDBMS. Topics include primary use cases, selection criteria, when a hybrid approach will best fit your needs and best practices for managing, securing and integrating data across platforms. Brian Bulkowski, CTO and Co-founder of Aerospike, presented along with speakers from Cask Data and Splice Machine. View now.

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Cool Products and Services

  • What engineering and IT leaders need to know about data science. As data science Continue reading

AI heading back to the trough

I like Gartner’s concept of the technology hype cycle. It assumes that expectations of new technologies quickly ramp to an inflated peak, drop into a trough of disillusionment, then gradually ascend a slope of enlightenment until they plateau. Of course, not all technologies complete the cycle or transition through the stages at the same pace.Artificial intelligence (AI) has arguably been in the trough for 60 years. I am thinking of Kubrick’s HAL and Roddenberry’s “computer” that naturally interact with humans. That’s a long trough, and despite popular opinion, the end is nowhere in sight.+ Also on Network World: Using artificial intelligence to teach computers to see + There’s so much excitement and specialized research taking place that AI has fragmented into several camps such as heuristic programming for game-playing AI, natural language processing for conversational AI, and machine learning for statistical problems. The hype is building again, and just about every major tech company and countless startups are racing toward another inflated peak and subsequent trough.To read this article in full or to leave a comment, please click here