«You have a memory like an elephant,» is truly a compliment. Researchers document all kinds of remarkable examples of the recall power of elephants, and this is credited with their ability to survive harsh environments as noted in this Scientific American article http://www.scientificamerican.com/article/elephants-never-forget/.
Our human memory also helps us learn from past experiences and mistakes, avoid recognizable hazards and keep track of our very busy lives. Our memories for the most part have served us well, but the same might not always be said about digital memory in an always connected, real-time world.

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Monitoring of Docker environments is challenging. Why? Because each container typically runs a single process, has its own environment, utilizes virtual networks, or has various methods of managing storage. Traditional monitoring solutions take metrics from each server and applications they run. These servers and applications running on them are typically very static, with very long uptimes. Docker deployments are different: a set of containers may run many applications, all sharing the resources of one or more underlying hosts. It’s not uncommon for Docker servers to run thousands of short-term containers (e.g., for batch jobs) while a set of permanent services runs in parallel. Traditional monitoring tools not used to such dynamic environments are not suited for such deployments. On the other hand, some modern monitoring solutions (e.g. SPM from Sematext) were built with such dynamic systems in mind and even have out of the box reporting for docker monitoring. Moreover, container resource sharing calls for stricter enforcement of resource usage limits, an additional issue you must watch carefully. To make appropriate adjustments for resource quotas you need good visibility into any limits containers have reached or errors they have caused. We recommend using alerts according to defined limits; this way you can adjust limits or resource usage even before errors start happening.

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The next generation of platforms is here with options in both cloud and on premises hyperconverged infrastructure. How do real people in today’s business world make the correct choices on where to move?
As IT departments look to move beyond traditional virtualization into cloud and hyperconverged infrastructure (HCI) platforms, they have a lot to consider. There are many types of organizations with different IT needs and it is important to determine whether those needs align more cloud or HCI. Before I dig into the differences, let me go over the similarities.

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How effective is your organization at leveraging data and analytics to power the business?
This is the question that we pose at the beginning of our client conversations. Gaining intimate insights about your customer, product, and operational behaviors, tendencies, trends and propensities is critical if organizations want to drive digital business transformation; optimizing key business processes, uncovering new monetization opportunities and creating a more compelling customer experience.

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The digital signage market was valued at USD 16.88 billion in 2015 and is expected to reach USD 27.34 billion by 2022, at a CAGR of 6.7% between 2016 and 2022, as per marketsandmarkets.com. It is also considered as a future for retail and similar industries, where customer experience plays a major role.

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The cloud wars rage on. The room is full of 800lb gorillas that have been battling over market share and supremacy for several years now. You know who the key players are – Amazon, Microsoft, Google and IBM – all still standing. Three year ago, Gartner described the market as ‘still evolving and maturing’. However, last year, they described the market as ‘in a state of upheaval’ with many providers shifting their strategies as they struggle to obtain market share.

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Why do your mobile transformations need to happen today? Mobile is the strategy that enterprise transformation centers on to drive customer engagement. In his general session at @ThingsExpo, Roger Woods, Director, Mobile Product & Strategy – Adobe Marketing Cloud, covered key IoT and mobile trends that are forcing mobile transformation, key components of a solid mobile strategy and explored how brands are effectively driving mobile change throughout the enterprise.

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With online viewership and sales growing rapidly, enterprises are interested in understanding how they analyze performance to positively impact business metrics. Deeper insight into the user experience is needed to understand why conversions are dropping and/or bounce rates are increasing or, preferably, to understand what has been helping these metrics improve. The digital performance management industry has evolved as application performance management companies have broadened their scope beyond synthetic testing that simulates users loading specific pages at regular intervals to include web and mobile testing, and real user monitoring (RUM). As synthetic monitoring gained popularity, performance engineers realized the variations that exist from real end users were not being captured. This led to the introduction of RUM – the process of capturing, analyzing and reporting data from a real end user’s interaction with a website. RUM has been around for more than a decade, but the technology is still in its infancy.

The digital performance management industry has evolved as application performance management companies have broadened their scope beyond synthetic testing that simulates users loading specific pages at regular intervals to include web and mobile testing, and real user monitoring (RUM). As synthetic monitoring gained popularity, performance engineers realized the variations that exist from real end users were not being captured. This led to the introduction of RUM – the process of capturing, analyzing and reporting data from a real end user’s interaction with a website. RUM has been around for more than a decade, but the technology is still in its infancy.

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Businesses are struggling to manage the information flow and interactions between all of these new devices and things jumping on their network, and the apps and IT systems they control. The data businesses gather is only helpful if they can do something with it.
In his session at @ThingsExpo, Chris Witeck, Principal Technology Strategist at Citrix, will discuss how different the impact of IoT will be for large businesses, expanding how IoT will allow large organizations to make their legacy applications and systems more useful by leveraging an increasingly disparate ecosystem of technologies, users and devices to create actionable business intelligence.

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