in Santa Clara, California, with an estimated 6,000 plus delegates attending over three days.
ESRI (Bronze), Evident.io (Exhibitor), FireHost (Bronze), Gigamon (Silver), GoodData (Bronze), Gridstore (Exhibitor), Harbinger Group (Exhibitor), HP (DevOps Track Sponsor), IAPP
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Automated software testing continues to play a vital role in enterprise software delivery and the speed with which software-driven organizations can begin to produce value. You want to ensure quality software, alongside fast time to market. This article will cover the following questions: How do you balance the need for speed with the need to test everything to deliver high-quality software to the end user?Sep. 21, 2015 03:45 PM EDT
A looking glass is a magical lens or portal through which things can be seen that are otherwise invisible. This is a perfect metaphor for the increasing challenge faced by businesses to find value hidden in the data they generate as well as data that they have access to. Value nuggets in data are often obscured by large volumes of data (“noise”, if you will). The larger the data sets, the more obscured the value nuggets are. A theoretical looking glass capable of discerning the signal from the noise will find value nuggets that enable precise and timely reaction to situations, as well as proac...
Cloud Expo is the single show where delegates and technology vendors can meet to experience and discuss the entire world of the cloud.At 16th Cloud Expo in New York City, Sandy Carter keynoted on women in tech and why women need to take risks and embrace failure to give them the courage to crash through the glass ceiling. She now shares some of her own thoughts and experiences from Cloud Expo.
I love all this digital hullaballoo, really I do. I love all these different trends and disruptions and turmoil. I especially love the confusion – it gives me something to write about.
But sometimes, I’ve just had enough. Especially when the digital disruption story starts repeating itself.
You don't have to look far to see evidence of open source software's impact on IT as a whole. It starts with large open source projects like OpenStack, Cloud Foundry, and Hadoop and continues to smaller but widely deployed components like OpenSSL and MySQL.
I know what you're thinking.
But no one is making real money from open source. Red Hat is the big player and they're still tiny.
This is something I hear often when talking about the inevitability of open source. Yes, open source software companies make less money than closed source software companies. But that's exactly why it's attra...
A recent Wall Street Journal article discussed the challenges that online content publishers have in monetizing their content as more and more user traffic shifts to mobile devices from traditional desktop/laptop computers/browsers.
Data from Mary Meeker’s 2015 Internet trends report in particular shows that the time adult users in the US spend online per day on mobile is up 51%. And the article cites similar data showing that the time spent on mobile properties of certain publishers jumped 40% in the last 12 months to 52% of the time spent viewing their content.
Buy a cloud, any cloud you like and stick it on whatever application and data storage, management and/or analysis workload you like – that’s all it takes, right?
Actually, that’s kind of not how it works.
This thing called ‘optimization’ is one of those often used industry buzzwords that unfortunately gets way overused to the point where its initial method and meaning becomes dangerously diluted.
According to a survey published by Gallup, just over 13 percent of employees globally are actually "involved in, enthusiastic about and committed to their work and workplace." The rest of the global workforce is not just indifferent - a good chunk of them are also "actively disengaged" or "potentially hostile". This is quite concerning given that nearly 71 percentage of employees regard engagement as critical to achieving organizational success.
Could cloud gamification be the answer? According to one study, nearly 78% of workers today use games based motivation techniques to motivate themsel...
The concept of cloud backup has been around awhile and seems well-understood: For a monthly fee, a third-party vendor will back up your business data and store it “in the cloud” (network of servers) so it can be retrieved on demand at a later date.
What is less well-understood is the idea of cloud disaster recovery. Its name gives some indication of its purpose, suggesting a more robust response to an unforeseen data-loss emergency. But is a more robust response always the appropriate response? In other words, how does one calibrate a solution to best fit one’s specific needs?
In a recent blog article, I discussed the difference between cloud backup and cloud disaster recovery (or “DR”). In a nutshell, with cloud backup, you basically pay a third-party service provider a monthly fee to have them back up your firm’s data and store it in the cloud, so it can be restored on-demand at a later date. With cloud DR, you gain the option to restore your data/server images to an always-on offsite virtual cloud environment capable of running live production servers. Your recovery time dramatically shrinks with this option.
Monetizing the cloud is fast becoming a hot area of interest for everyone. Rightfully so, perhaps because we have come along in our evolution as cloud technologists and are now able to see more than just being able to make things work on the cloud. It’s time now to derive maximum value from the cloud and the need for any vendor is to generate revenue. What are the rules of monetization and how do we even get started? Let’s look at three things that essentially make up a monetization framework.
As a business communications tool, email is the dominant option, and many corporations have policies that allow the use of personal email on corporate computers. In a recent Adobe Systems commissioned online survey of 400 U.S. white-collar, adult workers, more than 90 percent of them admitted checking personal emails at work. The workers questioned in the poll estimated they spend 6.3 hours a day checking emails, with 3.2 hours devoted to work emails and 3.1 hours to personal messages. Nearly half of the respondents also said that their use of emails for work will increase in coming years with...
Through this series I've considered the changes disruptive technology is having on traditional models, the routes businesses are taking to embrace transformation and the skills challenge they are facing as a result. It's clearly a complex and all-encompassing challenge for business leaders, but here I try to boil it down to the five key things we talk to senior leaders in business about when considering their change; from legacy, to next-generation, software-defined businesses:
Workspot solves Tech-support bottleneck for mobile enterprise.
Real time “In-App” help desk support eliminates waiting, provides timely resolution and improves user satisfaction.
