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How Do You Improve Network Agility?

DZone

Network agility is represented by the volume of change in the network over a period of time and is defined as the capability for software and hardware component’s to automatically configure and control itself in a complex networking ecosystem. Organizations are in search of improving network agility, but what exactly does this mean?

Network 182
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Why Browsers Get Built

Alex Russell

In some sense it's a confidence-management exercise. In both cases, the OS will task the browser team to heavily prioritise integrations with the latest OS and hardware features at the expense of more broadly useful capabilities — e.g. shipping "notch" CSS and "force touch" events while neglecting Push.

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Bring Your Own Cloud (BYOC) vs. Dedicated Hosting at ScaleGrid

Scalegrid

This is why our BYOC pricing is less than our Dedicated Hosting pricing, as the costs listed for BYOC are only what you pay for ScaleGrid and don’t include your hardware costs. In contrast, ScaleGrid Dedicated hosting is all-inclusive, so you pay one fixed cost monthly (based on usage) through your ScaleGrid account. No problem.

Cloud 242
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An analysis of performance evolution of Linux’s core operations

The Morning Paper

For the rest of us, if you really need that extra performance (maybe what you get out-of-the-box or with minimal tuning is good enough for your use case) then you can upgrade hardware and/or pay for a commercial license of a tuned distributed (RHEL). A second takeaway is this: security has a cost! Measuring the kernel. Headline results.

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The Credit Cycle Strikes Back

The Agile Manager

advertisers) or exercise pricing power (start charging for use). Labor productivity improvement was so great compared to the hardware and software costs, interest rates had no discernible effect. If that moment didn’t arrive before credit tightening began, well, time’s up. The credit cycle is certainly making itself felt in a big way.

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A Spectrum of Actions, Part II

J. Paul Reed

Even though that remediation task was pretty minor — tweaking some low-level hardware settings on each physical server and rebooting — and could have been done quickly enough, there was intense debate on whether it should be done. In practice (and I’ve done this exercise with teams), this spectrum can provide useful insight.

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Why I hate MPI (from a performance analysis perspective)

John McCalpin

According to Dr. Bandwidth, performance analysis has two recurring themes: How fast should this code (or “simple” variations on this code) run on this hardware? The user environment defines the mapping of MPI ranks to hardware resources (cores, sockets, nodes). The MPI runtime library. in ways that are seldom transparent.