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No matter how well-built your applications are, countless issues can cause performance problems, putting the platforms they are running on under scrutiny. If you've moved to Node.js to power your applications, you may be at risk of these issues calling your choice into question. How do you identify vulnerabilities and mitigate risk to take the focus off troubleshooting the technology and back where it belongs, on innovation?
There is no doubt that Node.js is one of today's leading platforms of choice for microservices and gluing tiers, connecting the heavy lifting business logic with modern o...
Companies are exploiting technology advances in procurement and finance services to produce new types of productivity benefits.
We'll now hear from a procurement expert on how companies can better manage their finances and have tighter control over procurement processes and their supply chain networks. This business process innovation exchange comes to you in conjunction with the Tradeshift Innovation Day held in New York on June 22, 2016.
Tangerine Bank in Toronto has improved end-user experiences for online banking and made data more secure across its lifecycle, speeding the delivery of a new credit card offering.
We'll now learn how improving end-user experiences for online banking and making data more secure across its lifecycle has helped speed the delivery of a new credit card offering.
The data warehouse and data lake are two different types of data storage repository. The data warehouse integrates data from different sources and suits business reporting. The data lake stores raw structured and unstructured data in whatever form the data source provides. It does not require prior knowledge of the analyses you think you want to perform.
A data lake is a storage repository that holds a vast amount of raw data in its native format until it is needed. While a hierarchical data warehouse stores data in files or folders, a data lake uses a flat architecture to store data.
Continuous testing helps bridge the gap between developing quickly and maintaining high quality products.
But to implement continuous testing, CTOs must take a strategic approach to building a testing infrastructure and toolset that empowers their team to move fast.
Download our guide to laying the groundwork for a scalable continuous testing strategy.
The Dean of the University of San Francisco School of Management, Elizabeth Davis, recently asked me to sit on a Big Data panel at the Direct Sales Association conference. I was given a 5-minute slot to “demystify” Big Data to a non-technical group of about 1,000 people; to help them understand where and how this thing called “Big Data” could help them.
Well if you know me, I can barely introduce myself in 5 minutes. But this was particularly challenging for me, as I’m used to talking about Big Data with organizations with at least some level of Big Data experience or understanding (maybe the...
Opining about the future of AI at the recent Brilliant Minds event at Symposium Stockholm, Google Executive Chairman Eric Schmidt rejected warnings from Elon Musk and Stephen Hawking about the dangers of AI, saying, “In the case of Stephen Hawking, although a brilliant man, he’s not a computer scientist. Elon is also a brilliant man, though he too is a physicist, not a computer scientist.”
This absurd dismissal of Musk and Hawking was in response to an absurd question about “the possibility of an artificial superintelligence trying to destroy mankind in the near future.” Schmidt went on to sa...
When the Internet of Things (IoT) started to emerge as a popular topic, I had to stop and ask myself if I was once again going to provide commentary on this emerging field. I enjoy exploring new technology shifts and illustrating how they can benefit various industries and businesses. It’s what I’ve done for the past 20 years through Java, XML, Web Services, SOA, Cloud and DevOps. However, every time I started writing on IoT I seemed to run into the same conundrum; am I commenting on this to jump on the hype bandwagon or because I see a need to represent the pragmatics of implementing and adop...
Digital transformation typically begins as low cost POCs (proof of concepts), that evolve into mission critical corporate initiatives as positive results, consumer demands and market trends converge. Digital transformation becomes mission critical when consumers vote with their money to accept the digital replacements for physical products, services and processes.
After many years of research, misfires and frightening Hollywood plotlines, artificial intelligence (AI) is finally coming into its own and beginning to demonstrate significant business value. The combined forces of big data, human expertise and AI are being used across industries as diverse as healthcare and manufacturing, as well as within all aspects of business. IT operations is one area that AI is beginning to contribute to enormously.
IT infrastructures are changing rapidly today, particularly hybrid cloud environments.
While they are increasingly dynamic and agile, they are also ext...
It feels like the barbarians are continually at the gate. We can’t seem to go more than a week before a new data breach is in the news, impacting potentially millions of individuals. The targets range from companies like Omni Hotels, which had been breached affecting up to 50,000 customers whose personal and credit card information was exposed, to North Carolina State University, where over 38,000 students’ personal information, including their SSNs, were at risk. As I mentioned in a recent blog ‘Internet of Things and Big Data – who owns your data?’, we have been storing our personal and cred...
Machine-to-machine (M2M) learning is an integral apart of the expanding world of Industrial IoT. Over the past few months we have given attention to manufacturing and its current digital disruption, but have failed to show the direct impact smart M2M and IoT technology is having on the industry. So, this week we are diving deeper into the term machine learning and how it connects to manufacturing both today and in the future.
Let's just nip the conflation of these terms in the bud, shall we?
"MIcro" is big these days. Both microservices and microsegmentation are having and will continue to have an impact on data center architecture, but not necessarily for the same reasons. There's a growing trend in which folks - particularly those with a network background - conflate the two and use them to mean the same thing.
They are not.
One is about the application. The other, the network. There is a relationship, but it's a voluntary one. They are two very different things and we need to ...
This is a no-hype, pragmatic post about why I think you should consider architecting your next project the way SOA and/or microservices suggest. No matter if it’s a greenfield approach or if you’re in dire need of refactoring. Please note: considering still keeps open the option of not taking that approach. After reading this, you will have a better idea about whether building multiple small components instead of a single, large component makes sense for your project.
This post assumes that you have experience with software architecture and services (you’ll find some words about my experience...
Tapjoy’s data-driven business of serving 500 million global mobile users - or more than 1.5 million add engagements per day, a data volume of a 120 terabytes - runs with extreme efficiency.
The next BriefingsDirect Voice of the Customer big data case study discussion examines how mobile app advertising platform Tapjoy handles fast and massive data - some two dozen terabytes per day - with just two part-time database administrators (DBAs).
Join Us at the Santa Clara Convention Center in New York, Santa Clara, November 1-3
Cloud computing software is eating the world, and each day is bringing new developments in this world.
Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Meanwhile, 94% of enterprises are using some form of XaaS – software, platform, and Infrastructure as a Service.
Big Data | Analytics and the emerging Internet of Things (IoT) are driving exponentially increased demands on datacenters and developers alike, as we cross the zettabyte horizon this year.
Containers and microservices are now part of every PaaS conversation, and IaaS providers are increasingly competing for platform customers.
WebRTC continues to reform web communications, and DevOps is pushing its way into an enterprise IT world that is increasingly agile, lean, and continuous.
Through all this, Cloud Expo remains the single independent event where delegates and technology vendors can meet to experience and discuss the entire world of the cloud.
Only Cloud Expo brings together all this in a single location:
• Cloud Computing
• Big Data | Analytics
• Internet of Things
• Containers | Microservices
Cloud computing budgets worldwide are reaching into the hundreds of billions of dollars, and no organization can survive long without some sort of cloud migration strategy. Each month brings new announcements, use cases, and success stories.
Cloud Expo offers the world's most comprehensive selection of technical and strategic Industry Keynotes, General Sessions, Breakout Sessions, and signature Power Panels. The exhibition floor features 100+ exhibitors offering specific solutions and comprehensive strategies.
The floor also features a Demo Theater that give delegates the opportunity to get even closer to the technology they want to see and the people who offer it.
Attend Cloud Expo. Create your own custom experience. Learn the latest from the world's best technologists. Talk to the vendors you are considering, and put them to the test.