|By John Gentry||
|August 2, 2014 12:45 PM EDT||
It feels as if we can't even go a week anymore without hearing about a new breach or outage. For years, IT departments were always on stand-by should the unimaginable happen and were judged by how quickly they could curb a bad situation. These days, however, it's not good enough to fix a problem - even if it's taken care of within a few minutes. Questions start to arise the minute something bad happens, and to really show strength IT departments have to stop the problem before it happens. Magic? No, it's just being proactive and it's imperative more than ever that IT closely monitor the health of their infrastructure to keep the business running.
IT departments experience performance and availability issues on a daily basis, often not discovered until end users complain to customer service representatives or help desks. With IT environments becoming more complex, it's become increasingly important to identify where problems are originating in order to avoid downtime or performance-impacting events before they occur. How can IT predict the unimaginable?
First, stop focusing on troubleshooting. Companies like NASDAQ, Facebook, LinkedIn and Yahoo! experienced crippling outages in 2013 that impacted customers and hurt their bottom lines. What did they have in common? They weren't able to detect the problem until it was too late. These companies are surely presented with the resources that allow them to catch the issues before their customers were affected, yet their inability to implement a solution that allows them to fix a problem before it happens cost them time, money, and a hit to their reputation.
Technology issues are the last things one would expect to negatively impact a company's brand, but in reality nothing is more crucial to running a business than its datacenter infrastructure. Infrastructures today are expected to perform better, faster and more consistently than ever before. Couple this with adapting to an exponentially increasing rate of change, and you have a recipe for disaster.
IT organizations are now looking to consolidate data centers to reduce costs and improve efficiencies. Many are turning to virtualization technology to help them get more value out of their existing assets while improving the environmental impact. But virtualization adds an additional layer of complexity, making it difficult to see through the layers of abstraction into the underlying infrastructure. Most companies see a high-level view, but many times they are missing a huge piece of the puzzle that underpins virtualization and application support in the enterprise.
Why is it so important to see that piece of the puzzle? With a full view of their infrastructure, organizations are much more likely to catch performance issues earlier and resolve them more quickly. The differentiating factor here is that when you are continuously viewing your entire infrastructure, you are more able to see trends and matching patterns. When something is off, it stands out quickly because you know what to look for. Similar to the way the security industry evolved around threat detections, the IT industry needs to evolve around infrastructure management.
Three major technology developments - virtualization, cloud and mobile - have all demanded and enabled IT to extend the reach of mission-critical applications, but have limited the enterprise's ability to manage the underlying systems infrastructure. Because of these developments, the IT operations team is constantly chasing problems that are increasingly difficult to find and resolve. Virtualization specifically has demanded a balancing act. Ensure the required performance is available, while driving the highest level of utilization. Otherwise you've overprovisioned and are wasting cycles, money and resources.
Society today expects business applications to be available 24/7, without delay, and the old way of thinking - buy more boxes or throw hardware at the problem - only makes matters worse. What most IT organizations do not realize is that the solution is right there, within their existing infrastructures. It is imperative they realize the importance of regularly monitoring and proactively searching for symptoms that could lead to a new breach or outage.
By using technologies that shine a light into the darkest part of the datacenter and arming users with definitive insight into the performance, health and utilization of the infrastructure, organizations can shift their focus to finding trouble before it starts. Instead of being reactive, we can switch to being a proactive industry that is able to diagnose and resolve issues before they start negatively impacting a business. The result? Greatly improved performance of existing infrastructures that enable IT to align actual workload with requirements and drive the highest levels of performance and availability at the optimal cost.
Let’s face it, embracing new storage technologies, capabilities and upgrading to new hardware often adds complexity and increases costs. In his session at 18th Cloud Expo, Seth Oxenhorn, Vice President of Business Development & Alliances at FalconStor, discussed how a truly heterogeneous software-defined storage approach can add value to legacy platforms and heterogeneous environments. The result reduces complexity, significantly lowers cost, and provides IT organizations with improved efficienc...
Jul. 26, 2016 10:15 PM EDT Reads: 1,976
With 15% of enterprises adopting a hybrid IT strategy, you need to set a plan to integrate hybrid cloud throughout your infrastructure. In his session at 18th Cloud Expo, Steven Dreher, Director of Solutions Architecture at Green House Data, discussed how to plan for shifting resource requirements, overcome challenges, and implement hybrid IT alongside your existing data center assets. Highlights included anticipating workload, cost and resource calculations, integrating services on both sides...
Jul. 26, 2016 09:00 PM EDT Reads: 2,026
In his session at @DevOpsSummit at 19th Cloud Expo, Yoseph Reuveni, Director of Software Engineering at Jet.com, will discuss Jet.com's journey into containerizing Microsoft-based technologies like C# and F# into Docker. He will talk about lessons learned and challenges faced, the Mono framework tryout and how they deployed everything into Azure cloud. Yoseph Reuveni is a technology leader with unique experience developing and running high throughput (over 1M tps) distributed systems with extre...
Jul. 26, 2016 08:30 PM EDT Reads: 2,131
Manufacturers are embracing the Industrial Internet the same way consumers are leveraging Fitbits – to improve overall health and wellness. Both can provide consistent measurement, visibility, and suggest performance improvements customized to help reach goals. Fitbit users can view real-time data and make adjustments to increase their activity. In his session at @ThingsExpo, Mark Bernardo Professional Services Leader, Americas, at GE Digital, discussed how leveraging the Industrial Internet a...
Jul. 26, 2016 08:00 PM EDT Reads: 287
Big Data engines are powering a lot of service businesses right now. Data is collected from users from wearable technologies, web behaviors, purchase behavior as well as several arbitrary data points we’d never think of. The demand for faster and bigger engines to crunch and serve up the data to services is growing exponentially. You see a LOT of correlation between “Cloud” and “Big Data” but on Big Data and “Hybrid,” where hybrid hosting is the sanest approach to the Big Data Infrastructure pro...
Jul. 26, 2016 07:15 PM EDT Reads: 1,930
In his session at 18th Cloud Expo, Sagi Brody, Chief Technology Officer at Webair Internet Development Inc., and Logan Best, Infrastructure & Network Engineer at Webair, focused on real world deployments of DDoS mitigation strategies in every layer of the network. He gave an overview of methods to prevent these attacks and best practices on how to provide protection in complex cloud platforms. He also outlined what we have found in our experience managing and running thousands of Linux and Unix ...
Jul. 26, 2016 07:00 PM EDT Reads: 1,796
Cloud analytics is dramatically altering business intelligence. Some businesses will capitalize on these promising new technologies and gain key insights that’ll help them gain competitive advantage. And others won’t. Whether you’re a business leader, an IT manager, or an analyst, we want to help you and the people you need to influence with a free copy of “Cloud Analytics for Dummies,” the essential guide to this explosive new space for business intelligence.
Jul. 26, 2016 06:30 PM EDT Reads: 793
"My role is working with customers, helping them go through this digital transformation. I spend a lot of time talking to banks, big industries, manufacturers working through how they are integrating and transforming their IT platforms and moving them forward," explained William Morrish, General Manager Product Sales at Interoute, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 26, 2016 06:30 PM EDT Reads: 2,119
A critical component of any IoT project is what to do with all the data being generated. This data needs to be captured, processed, structured, and stored in a way to facilitate different kinds of queries. Traditional data warehouse and analytical systems are mature technologies that can be used to handle certain kinds of queries, but they are not always well suited to many problems, particularly when there is a need for real-time insights.
Jul. 26, 2016 05:45 PM EDT Reads: 1,825
Choosing the right cloud for your workloads is a balancing act that can cost your organization time, money and aggravation - unless you get it right the first time. Economics, speed, performance, accessibility, administrative needs and security all play a vital role in dictating your approach to the cloud. Without knowing the right questions to ask, you could wind up paying for capacity you'll never need or underestimating the resources required to run your applications.
Jul. 26, 2016 05:30 PM EDT Reads: 405
Enterprise networks are complex. Moreover, they were designed and deployed to meet a specific set of business requirements at a specific point in time. But, the adoption of cloud services, new business applications and intensifying security policies, among other factors, require IT organizations to continuously deploy configuration changes. Therefore, enterprises are looking for better ways to automate the management of their networks while still leveraging existing capabilities, optimizing perf...
Jul. 26, 2016 05:00 PM EDT Reads: 1,172
"Software-defined storage is a big problem in this industry because so many people have different definitions as they see fit to use it," stated Peter McCallum, VP of Datacenter Solutions at FalconStor Software, in this SYS-CON.tv interview at 18th Cloud Expo, held June 7-9, 2016, at the Javits Center in New York City, NY.
Jul. 26, 2016 05:00 PM EDT Reads: 1,476
The best-practices for building IoT applications with Go Code that attendees can use to build their own IoT applications. In his session at @ThingsExpo, Indraneel Mitra, Senior Solutions Architect & Technology Evangelist at Cognizant, provided valuable information and resources for both novice and experienced developers on how to get started with IoT and Golang in a day. He also provided information on how to use Intel Arduino Kit, Go Robotics API and AWS IoT stack to build an application tha...
Jul. 26, 2016 04:30 PM EDT Reads: 1,083
IoT generates lots of temporal data. But how do you unlock its value? You need to discover patterns that are repeatable in vast quantities of data, understand their meaning, and implement scalable monitoring across multiple data streams in order to monetize the discoveries and insights. Motif discovery and deep learning platforms are emerging to visualize sensor data, to search for patterns and to build application that can monitor real time streams efficiently. In his session at @ThingsExpo, ...
Jul. 26, 2016 04:30 PM EDT Reads: 1,014
You think you know what’s in your data. But do you? Most organizations are now aware of the business intelligence represented by their data. Data science stands to take this to a level you never thought of – literally. The techniques of data science, when used with the capabilities of Big Data technologies, can make connections you had not yet imagined, helping you discover new insights and ask new questions of your data. In his session at @ThingsExpo, Sarbjit Sarkaria, data science team lead ...
Jul. 26, 2016 04:00 PM EDT Reads: 1,032