IoT gets smarter but still needs backend analytics

One way of looking at IoT deployments is this – a large array of not-particularly-sophisticated endpoints, mindlessly sending individual data points like temperature and pressure levels to either an edge device somewhere on a factory floor, or all the way out to a cloud back-end or data center.And that’s largely correct, in many cases, but it’s increasingly not the whole story – IoT endpoints are getting closer and closer to the ability to do their own analysis, leading to simpler architectures and more responsive systems. It’s not the right fit for every use case, but there are types of IoT implementation that are already putting the responsibility for the customizing their own metrics on the devices themselves, and more that could be a fit for such an architecture.To read this article in full, please click here

VMware has edge, AI, blockchain ambitions

Fully baked products weren’t the only technologies on display at the VMworld conference in Las Vegas this week; VMware previewed three in-the-works projects related to edge computing, artificial intelligence and enterprise blockchain.The first is Project Dimension, which aims to deliver the functionality of VMware’s cloud offerings to the edge as a managed service. Project Dimension will combine the elements of VMware Cloud Foundation – including software-defined services for compute, storage, network and security, along with cloud management capabilities – in a hyperconverged form factor that’s operated by VMware. [ Read also: How to plan a software-defined data-center network ] Just as VMware Cloud on AWS manages a customer’s infrastructure in the Amazon cloud, Project Dimension will manage a customer’s on-premises data-center and edge locations, such as branch offices and warehouse sites.To read this article in full, please click here

VMware has edge, AI, blockchain ambitions

Fully baked products weren’t the only technologies on display at the VMworld conference in Las Vegas this week; VMware previewed three in-the-works projects related to edge computing, artificial intelligence and enterprise blockchain.The first is Project Dimension, which aims to deliver the functionality of VMware’s cloud offerings to the edge as a managed service. Project Dimension will combine the elements of VMware Cloud Foundation – including software-defined services for compute, storage, network and security, along with cloud management capabilities – in a hyperconverged form factor that’s operated by VMware. [ Read also: How to plan a software-defined data-center network ] Just as VMware Cloud on AWS manages a customer’s infrastructure in the Amazon cloud, Project Dimension will manage a customer’s on-premises data-center and edge locations, such as branch offices and warehouse sites.To read this article in full, please click here

Intel’s Exascale Dataflow Engine Drops X86 And Von Neuman

With Moore’s Law running out of steam, the chip design wizards at Intel are going off the board to tackle the exascale challenge, and have dreamed up a new architecture that could in one fell swoop kill off the general purpose processor as a concept and the X86 instruction set as the foundation of modern computing. …

Intel’s Exascale Dataflow Engine Drops X86 And Von Neuman was written by Timothy Prickett Morgan at .

Chip shrinking hits a wall: what it means for you

The semiconductor world is buzzing over the news that custom semiconductor manufacturer GlobalFoundries, the foundry born when AMD divested itself of its fabrication facilities, announced the sudden decision to drop its 7nm FinFET development program and restructure its R&D teams around “enhanced portfolio initiatives.”For now, GlobalFoundries will stick to 12nm and 14nm manufacturing. All told, approximately 5 percent (of roughly 18,000 employees) will lose their jobs. But it also sets back AMD, a GlobalFoundries customer, in its bid to get ahead of Intel, which has struggled for two years to get to 10nm and won’t get there until 2020.[ Learn who's developing quantum computers. ] “The vast majority of today’s fabless customers are looking to get more value out of each technology generation to leverage the substantial investments required to design into each technology node. Essentially, these nodes are transitioning to design platforms serving multiple waves of applications, giving each node greater longevity. This industry dynamic has resulted in fewer fabless clients designing into the outer limits of Moore’s Law,” said Thomas Caulfield, who was named CEO of GlobalFoundries last March, in a statement.To read this article in full, please click here

Chip shrinking hits a wall: what it means for you

The semiconductor world is buzzing over the news that custom semiconductor manufacturer GlobalFoundries, the foundry born when AMD divested itself of its fabrication facilities, announced the sudden decision to drop its 7nm FinFET development program and restructure its R&D teams around “enhanced portfolio initiatives.”For now, GlobalFoundries will stick to 12nm and 14nm manufacturing. All told, approximately 5 percent (of roughly 18,000 employees) will lose their jobs. But it also sets back AMD, a GlobalFoundries customer, in its bid to get ahead of Intel, which has struggled for two years to get to 10nm and won’t get there until 2020.[ Learn who's developing quantum computers. ] “The vast majority of today’s fabless customers are looking to get more value out of each technology generation to leverage the substantial investments required to design into each technology node. Essentially, these nodes are transitioning to design platforms serving multiple waves of applications, giving each node greater longevity. This industry dynamic has resulted in fewer fabless clients designing into the outer limits of Moore’s Law,” said Thomas Caulfield, who was named CEO of GlobalFoundries last March, in a statement.To read this article in full, please click here

Chip shrinking hits a wall — what it means for you

The semiconductor world is buzzing over the news that custom semiconductor manufacturer GlobalFoundries, the foundry born when AMD divested itself of its fabrication facilities, announced the sudden decision to drop its 7nm FinFET development program and restructure its R&D teams around “enhanced portfolio initiatives.”For now, GlobalFoundries will stick to 12nm and 14nm manufacturing. All told, approximately 5 percent (of roughly 18,000 employees) will lose their jobs. But it also sets back AMD, a GlobalFoundries customer, in its bid to get ahead of Intel, which has struggled for two years to get to 10nm and won’t get there until 2020.[ Learn who's developing quantum computers. ] “The vast majority of today’s fabless customers are looking to get more value out of each technology generation to leverage the substantial investments required to design into each technology node. Essentially, these nodes are transitioning to design platforms serving multiple waves of applications, giving each node greater longevity. This industry dynamic has resulted in fewer fabless clients designing into the outer limits of Moore’s Law,” said Thomas Caulfield, who was named CEO of GlobalFoundries last March, in a statement.To read this article in full, please click here

Chip shrinking hits a wall — what it means for you

The semiconductor world is buzzing over the news that custom semiconductor manufacturer GlobalFoundries, the foundry born when AMD divested itself of its fabrication facilities, announced the sudden decision to drop its 7nm FinFET development program and restructure its R&D teams around “enhanced portfolio initiatives.”For now, GlobalFoundries will stick to 12 and 14nm manufacturing. All told, approximately 5 percent (of roughly 18,000 employees) will lose their jobs. But it also sets back AMD, a GlobalFoundries customer, in its bid to get ahead of Intel, which has struggled for two years to get to 10nm and won’t get there until 2020.“The vast majority of today’s fabless customers are looking to get more value out of each technology generation to leverage the substantial investments required to design into each technology node. Essentially, these nodes are transitioning to design platforms serving multiple waves of applications, giving each node greater longevity. This industry dynamic has resulted in fewer fabless clients designing into the outer limits of Moore’s Law,” said Thomas Caulfield, who was named CEO of GlobalFoundries last March, in a statement.To read this article in full, please click here

Worth Reading: The BGP hackathon report

The research and operations communities have developed a set of tools and data sources for understanding and experimenting with BGP, and on February 2016 we organized the first BGP Hackathon, themed around live measurement and monitoring of Internet routing. The Hackathon included students, researchers, operators, providers, policymakers, and funding agencies, working together on projects to measure, visualize, and improve routing or the tools we use to study routing. @ACM SIGCOMM

Identifying and alerting on data loss using Cloudflare Workers

Identifying and alerting on data loss using Cloudflare Workers

Identifying and alerting on data loss using Cloudflare Workers
Photo by Markus Spiske / Unsplash

You hear about data breaches almost every day in the news these days. New regulations, such as GDPR, require companies to disclose data breaches within 72 hours of becoming aware. Becoming aware of and identifying data breaches as they happen, however, is not an easy task. It is often challenging for companies to become aware of their own data breaches and losses well-before they get picked up by the media.

One symptom of a data breach is data (such as passwords or PII) that should never leave internal systems making its way through an HTTP response into the public Internet. Since Cloudflare Workers sits between your infrastructure and the public for any endpoints exposed to the Internet, Workers can be used as a way of alerting you of canary data leaving.

In the following example, we will be inspecting the content of each response, checking to see if our canary data has leaked out, and if so, returning a static response and calling the PagerDuty API to notify of a potential breach.

Detecting Data Loss

In this example, we’ll be looking for a particular string in the body of the response. This string can Continue reading

CLKscrew: Another side channel you didn’t know about

Network engineers focus on protocols and software, but somehow all of this work must connect to the hardware on which packets are switched, and data is processed. A big part of the physical side of what networks “do” is power—how it is used, and how it is managed. The availability of power is one of the points driving centralization; power is not universally available at a single price. If cloud is cheaper, it’s probably not because of the infrastructure, but rather because of the power and real estate costs.

A second factor in processing is the amount of heat produced in processing. Data center designers expend a lot of energy in dealing with heat problems. Heat production is directly related to power usage; each increase in power consumption for processing shows up as heat somewhere—heat which must be removed from the equipment and the environment.

It is important, therefore, to optimize power usage. To do this, many processors today have power management interfaces allowing software to control the speed at which a processor runs. For instance, Kevin Myers (who blogs here) posted a recent experiment with pings running while a laptop is plugged in and on battery—

Reply from 2607:f498:4109::867:5309:  Continue reading
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