THE COMING BUSINESS REVOLUTION OF EDGE COMPUTING AND COLOCATION

Even as we speak a quiet business revolution is unfolding that is being driven by colocation provider solutions and the reality of edge computing. The move to edge computing will work in concert with the coming 5G networks and the colocation data center to enable dynamic content, such as that from IoT devices, mobile data, over-the-top (OTT) video, streaming media and more.

This revolution is unfolding today and tomorrow as edge computing takes hold within tier 1, 2 and 3 cities across the globe. According to a 2017 SDxCentral edge computing survey, 40 percent of respondents expect to see mainstream adoption of edge computing and multi-access edge computing (MEC) in the next two to four years or sooner. But what are the business benefits of edge computing?

The goal of edge computing is to shorten the physical distance between sensors, data analytics applications and the end-users of the processed data to improve the experience for end users and customers. Edge facilities make greater bandwidth and lower latency beyond first tier cities possible while improving disaster recovery and security.

SMBs in the digital age operate globally, so these benefits are more vital than ever. SMBs that partner with a colocation provider that has connectivity to edge data centers also benefit from the support of a skilled services team to ensure the right technology and pathway setups.

Leading colocation data center providers like Telehouse will play a big part in edge computing and 5G’s ability to enable heavy bi-directional traffic for connected devices and systems for SMBS and startups via broad colocation and provider connectivity for edge computing to second- and third-tier cities. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Fault Tolerance and Fault Avoidance: Looking Beyond Data Center Tiers

As the general argument goes, the fault tolerance of a tier 4 data center may be overkill for all but the most mission-critical applications of the largest enterprise. When it comes time for a business to decide, maybe the perspectives should shift to the equal need for fault avoidance.

According to the accepted Uptime Institute standard, tier 4 data center specifications call for two parallel power and cooling systems with no single point of failure (also known as 2N). While this level of fault tolerance often comes at a premium price, many enterprises see the security, reliability and redundancy as being worth it to ensure the drop in potential downtime over a tier 3 data center.

This single point of failure for any and all components is certainly nothing to scoff at when it comes to the performance of the computer equipment. Knowing that a planned approach to anytime compute component removal that foregoes compute system disruption is a major plus. But even with the understanding that comes from reading a comprehensive data center tier level guide, it becomes apparent that thinking should go beyond the tier levels to a colocation data center’s ability to provide fault avoidance.

Fault avoidance is all about the fact that many complications that lead to data center downtime can be prevented with equipment and systems monitoring, a proactive trained staff with thorough procedures, and strict maintenance protocols. In other words, fault tolerance while important is reactive where fault avoidance focuses on prevention, which is equally important.

Whether it is a tier 4 data center or a tier 3 data center, enterprises should be looking closely at these other fault avoidance parameters and systems. For instance, does the facility utilize a sophisticated and proven building management system (BMS) and building automation system (BAS)? These crucial systems allow operators to monitor systems for health status of data center equipment through gathered equipment sensor data for real-time insights. The collected data can then be used to deliver an automated response or direct proactive technician intervention.

Since we have yet to reach the ideal of the truly automated data center, highly skilled operations teams must work in tandem with the systems to anticipate problems before they occur and quickly troubleshoot issues when they do arise. Visit source for more details.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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The Essential Role of Colocation Data Centers for IoT and Big Data

For startups and enterprises, data center colocation has become a major part of the business in the digital age where IoT is ubiquitous across every sector and big data is now just data. The main reason for this is that for most businesses, the IoT frameworks goes far beyond the reach of the local data center with an ever-expanding network edge of sensors that stretch across a city and even the world.

Big Data’s impact on the data center is far reaching since achieving low cost and low latency application performance is imperative with IoT-driven businesses. This is especially true as more and more of this IoT data processing is getting pushed out to the edge to get as close as possible to the source sensors and end-users of the resulting data analytics. Consequently, today’s data center colocation providers can offer the best means for filling the gap in IoT’s edge computing landscape while offering a cost-effective means for managing, storing, and organizing big data.

While the cloud is also a major part of that IoT/big data world, businesses require the means for gaining instantaneous access, fast data transport, and needed compute resources that are reliable. Of course, technology and cost needs associated with moving massive amounts of data into the cloud is not the best strategy when latency and accessibility are driving IoT and big data for a business.

Effective IoT and the resultant big data being delivered from sensors require the shortest possible distance between sensors, data analytics applications, and the end-users of the processed data. Data center colocation providers can effectively serve IoT framework needs by delivering an abundance of options including major cloud providers and broad peering options among others.

Colocation becomes the most efficient and flexible means to manage and analyze the enormous amounts of IoT sensor data for factories, supply chains, power grids, distributed products and even cities. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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3 Reasons Why You Should Adopt Hybrid Cloud Strategies

The public cloud was once hailed as the premier option for unlimited, accessible data storage. However, on-premise private cloud solutions still offer better security, speed and control – especially when managing private data. Find out why hybrid cloud strategies are the best way for companies to enjoy the benefits of both private and public cloud storage – and how colocation service providers support such needs.

Workflows and Partnerships

Colocation facilities can support the collaboration benefits of a hybrid cloud strategy in multiple ways. Foremost, tenants in a colocation service provider can securely access one another’s applications and data upon mutual request. This creates a safe space in which to collaborate, expanding each businesses capabilities in a secure way that wouldn’t otherwise be achievable.

Another benefit of hybrid cloud models is that they offer decreased latency, which is the length of delay between a service and a request. Latency is often improved when cloud servers are geographically closer to the request source, as the request has a shorter distance to travel. Since a colocation service provider allows companies to store their private cloud in a nearby location, this can help increase latency when the public cloud isn’t as fast. In turn, this helps increase workflows by speeding up requests.

Security, Control, and Colocation Service Provider

Today’s businesses are seeking increased flexibility in data management without having to sacrifice high-stakes security. This is especially true for the healthcare, finance and retail industries, which often have certain compliance regulations regarding how and where data can be stored.

Although these companies can’t store such data on the public cloud, they often still need access to applications and tools that are available only on the public cloud. Data center colocation providers are a great solution to these security and accessibility needs because they keep private patient and customer information secure while meeting strict requirements. Click here to visit original source.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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Benefits of Integrating the Cloud and AI

There are many benefits of integrating the Cloud and AI. As for AI, it touches every industry around the globe. As part of this technology are machine learning, deep learning, computer vision, and natural language processing (NLP), which give computers faculties that mimic humans such as seeing, hearing, and even deductive reasoning.

Many enterprises need to process a tremendous amount of data efficiently, quickly, and accurately. Therefore, they depend on AI-capable colocation data centers. The need for enterprise AI applications is growing so fast that one research company predicts revenue will reach the $31 billion mark within the next seven years.

For predictive analytics programs, the top industries include education, health care, financial, and telecommunication. The goal is to target new business opportunities and improve the customer’s experience. A perfect example is a bank that uses an AI system for tracking information about credit card transactions. With pattern recognition, this bank can identify fraudulent acts.

A Unique Relationship

Cloud computing facilitates much of the progress in AI and machine learning. With massive data to analyze, Cloud computing is now more critical for delivering AI solutions. Along with prominent Cloud platforms such as Google and Microsoft, several smaller ones are integrating AI technologies.

With a unique relationship, the Cloud delivers data learned by AI systems. At the same time, AL provides information that expands the data available to the Cloud. For improving storage, computing, and other Cloud services, AI will become even more critical than it is now.

Data center colocation providers and the Cloud work like a well-oiled machine. Data center colocation services will continue to provide an infrastructure strategy for a host of companies, while AI will keep integrating with the Cloud, which will increase the need for colocation services.

Telehouse CloudLink, a connectivity exchange for customers with multiple Cloud providers, guarantees a safe and private connection between company networks and Cloud services.

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Telehouse Introduces Data Center Robotics

The term “robot” translates in Czech to “hard work” or “drudgery.” With advances in technology, data center colocation services include robotics as part of specialized applications that reduce human labor. Primarily, data center colocation providers deploy robotics to enhance efficiency. Facing fierce competition, businesses continually search for ways to make their infrastructures less expensive and agiler. Robotics reduce IT staff, which ensures greater monitoring accuracy and improved security.

Both EMC and IBM currently rely on iRobot Create, which traverses data center colocation facilities to check for fluctuations in temperature, humidity, and system vibrations. After the robot scours a data center colocation site for the source of vulnerabilities, like cooling leaks, it gathers data for processing through a Wi-Fi connection. An algorithm converts the data into a thermal map so that managers can identify anomalies.

Still in the concept phase, PayPerHost is working on Robonodes, which would replace a failed customer server or storage node. Sony and Facebook rely on robotic units as part of Blu-ray disc-based media storage archives. Overall, robotics help businesses mitigate the footprint of data center managed services while simplifying infrastructure.

Telehouse is responding to the increased demand for cloud computing and technological advances. Someday, data center resilience and archiving efficiency will improve due to more robust systems, automation software, and intense planning.

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Algorithms: Smart Yet Slightly Frightening

In smart cities, as well as data center and colocation facilities, algorithms play a critical role. Algorithms are the reason computer operating systems exist and, therefore, the World Wide Web and Google. For a colocation provider, algorithms make it possible to provide customers a safe and reliable service.

Algorithms also help transform Big Data, initially converting it into analytics and then into an action. Colocation service providers are at the heart of smart cities, with algorithms assisting Data Center Infrastructure Management (or DCIM) tools in predicting cooling problems.

Load balancing algorithms are critical for colocation services, distributing application or network traffic across servers, thereby making them more efficient. There are also smart storage algorithms that process rich media requests, including videos, and cut energy consumption for enterprise-level storage area networks by as much as 50 percent.

In unimaginable ways, algorithms impact both personal and professional lives, which is exciting, yet somewhat unnerving. As an increasing number of businesses adopt and enhance digital solutions, there is a strong chance of seeing more colocation service providers relying on algorithms for storage, computing, and networking.

For organizations with business-critical data, Telehouse provides superior colocation services with 48 data centers worldwide. Ultimately, business owners have peace of mind thanks to high security, redundant power, and flawless interconnection to virtually hundreds of service providers.

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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ALGORITHMS: SCARY SMART AND SOMETIMES JUST PLAIN SCARY

Algorithms, complex mathematical equations designed to solve problems or perform a task, automate much of the technology that makes smart cities smart, from intelligent public transportation and traffic management to smart electrical grids and water usage. Algorithms are also a fundamental tool in transforming Big Data, first into useful analytics, and eventually into action. More on that later.

Data centers and colocation facilities, the pillars of smart cities, are replete with examples of the use of algorithms. Data Center Infrastructure Management (DCIM) tools predict cooling issues based on algorithms built from temperature pattern models. There are load balancing algorithms, which play an important role in distributing network or application traffic across servers, thereby dynamically improving the efficiency of computing resources. And there are smart storage algorithms, which process requests for video and other rich media, and hold the promise of reducing energy use for enterprise-level storage area networks by 20 to 50 percent.

The world’s first and eponymously-titled Euclidean algorithm came to us in 300 B.C. and is still used by computers today. In fact, without algorithms, there would be no computer operating systems, no World Wide Web, and no Google with which to Google “algorithms,” much less the name of that actress who starred in that movie with that guy.

Okay, so now we have your attention.

Getting Too Personal

Today, algorithms are increasingly affecting our personal and professional lives in ways that we can’t imagine or might even find unsettling. Consider the algorithm created by the analytics team at the U.S. retailer Target, which could calculate whether a woman is pregnant and even when she is due to give birth.

In a nutshell, Target, like every retailer, stores a history of every item their customers have bought and any demographic information the company has collected from them. Target analyzed this information against historical buying data for all the women who had ever signed up for its baby registries. The analytics team then created an algorithm that identified 25 products — from unscented lotion to supplements such as calcium and zinc to oversized purses large enough to double as a diaper bag — which, when collectively analyzed, assigned each shopper a “pregnancy prediction” score. More importantly, for direct marketing purposes, its algorithm also estimated a woman’s due date, so that Target could send coupons to customers’ homes timed to specific stages of pregnancy.

And what could be the harm in that? Pregnancy, birth, an impending bundle of joy? Well, some women, families, and especially, teenagers, preferred that their pregnancies remained private. But Target’s predictive algorithm-based marketing hadn’t factored that very human element into their campaign, and trouble ensued.

Every Digital Breath You Take

And then of course there is the U.S. National Security Agency’s XKeyscore program, which was one of the covert projects revealed by Edward Snowden. You may never have heard of XKeyscore, but it definitely has heard of you.

XKeyscore collects every digital breath you’ve ever taken on the Internet, including browsing history, Google searches, the content of your emails and online chats, and at the tap of the keyboard, can process that data through an algorithm to identify potentially subversive activity. The NSA’s own training materials identified XKeyscore as its “widest reaching” system for developing intelligence from the Internet.  Click here to visit original source....

Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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TELEHOUSE FOR TECHNOPHILES: THE LINK BETWEEN CLOUD ADOPTION AND CONNECTIVITY

How Surging Cloud Use is Making Connectivity a Differentiator for Data Centers

It’s safe to say that the global tech forecast is cloudy, and getting cloudier.

Consider this: According to the Cisco Global Cloud Index, global IP traffic will account for more than 92 percent of total global data center traffic by 2020.  In addition, cloud data center traffic for consumer and business applications will grow at a Compound Annual Growth Rate (CAGR) of 30 percent over the next three years, and 68 percent of cloud workloads will be processed by public cloud data centers – a 49 percent increase from 2015.

This migration to cloud computing can largely be attributed to performance-driven enterprises’ growing use of cloud-based applications. In one recent study conducted by Skyhigh Networks that surveyed various IT decision-makers, 79 percent of respondents claimed that they receive regular requests from end-users each month to buy more cloud applications. Among these applications, communication and collaboration via video, file and content sharing, and social media topped the list of the most frequently requested capabilities. Original source...


Contact Details:
Telehouse America
7 Teleport Drive,
Staten Island,
New York, USA
Zip Code: 10311
Phone No: 718–355–2500
Email: gregory.grant@telehouse.com

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