The cloud is no longer some distant, separate place. Yes, Amazon, Microsoft, and Google maintain unimaginably vast expanses of servers in cloud data centers around the world – as do thousands of SaaS providers. But those clouds and the services they deliver have become so entwined with customers’ on-prem operations, they’re now vital components of almost every enterprise IT estate.This intermingling takes many forms. For starters, Amazon, Microsoft, and Google now enable you to snap off a piece of their platforms in the form of racks of managed servers that live in your data center, preloaded with the same software that powers public clouds. Some of these on-prem cloud outposts can offer access to the gamut of services hosted by the cloud mothership.To read this article in full, please click here
As technology extends deeper into every aspect of business, the tip of the spear is often some device at the outer edge of the network, whether a connected industrial controller, a soil moisture sensor, a smartphone, or a security cam.This ballooning internet of things is already collecting petabytes of data, some of it processed for analysis and some of it immediately actionable. So an architectural problem arises: You don’t want to connect all those devices and stream all that data directly to some centralized cloud or company data center. The latency and data transfer costs are too high.That’s where edge computing comes in. It provides the “intermediating infrastructure and critical services between core datacenters and intelligent endpoints,” as the research firm IDC puts it. In other words, edge computing provides a vital layer of compute and storage physically close to IoT endpoints, so that control devices can respond with low latency – and edge analytics processing can reduce the amount of data that needs to be transferred to the core.To read this article in full, please click here
As technology extends deeper into every aspect of business, the tip of the spear is often some device at the outer edge of the network, whether a connected industrial controller, a soil moisture sensor, a smartphone, or a security cam.This ballooning internet of things is already collecting petabytes of data, some of it processed for analysis and some of it immediately actionable. So an architectural problem arises: You don’t want to connect all those devices and stream all that data directly to some centralized cloud or company data center. The latency and data transfer costs are too high.That’s where edge computing comes in. It provides the “intermediating infrastructure and critical services between core datacenters and intelligent endpoints,” as the research firm IDC puts it. In other words, edge computing provides a vital layer of compute and storage physically close to IoT endpoints, so that control devices can respond with low latency – and edge analytics processing can reduce the amount of data that needs to be transferred to the core.To read this article in full, please click here
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The challenges are greater than ever. But security pros have learned a lot – and with luck, the right strategic defenses can help even the highest-value targets withstand severe attacks.
What will your worklife be like years from now? Today's work-from-home world has given us a glimpse of the future, as these five articles from CIO, Computerworld, CSO, InfoWorld, and Network World illustrate.
What will your worklife be like years from now? Today's work-from-home world has given us a glimpse of the future, as these five articles from CIO, Computerworld, CSO, InfoWorld, and Network World illustrate.
What will your worklife be like years from now? Today's work-from-home world has given us a glimpse of the future, as these five articles from CIO, Computerworld, CSO, InfoWorld, and Network World illustrate.
At a time when procuring on-prem infrastructure and personnel seems more daunting than ever, organizations are increasingly turning to multiple clouds to provide just the array of functionality they need.
Like other hot new areas of enterprise tech, edge computing is a broad architectural concept rather than a specific set of solutions. Primarily, edge computing is applied to low-latency situations where compute power must be close to the action, whether that activity is industrial IoT robots flinging widgets or sensors continuously taking the temperature of vaccines in production. The research firm Frost & Sullivan predicts that by 2022, 90 percent of industrial enterprises will employ edge computing.To read this article in full, please click here
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If you work in IT, you’re probably safely ensconced at home right now, clinging to your laptop at the edge of your company’s network. The shift from office to home has been momentous. But it’s also symbolic of a larger trend: The network edge has become as important as the network core. Remote workers aside, the IoT (internet of things) is the biggest reason why the edge has become so crucial.According to Gartner, a crazy variety of some 21 billion connected “things” are at this moment collecting data and performing all sorts of tasks. The majority are consumer devices, from smart speakers to watches to door locks. The rest serve business: medical devices, engine sensors, industrial robots, HVAC controllers…almost every enterprise now relies on IoT devices in one form or another.To read this article in full, please click here
Eric Knorr