Wednesday, August 29, 2018

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

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