So, you bought into the current machine learning craze and went on to collect millions/billions of records from this promising new data source. Now, what do you do with them? Too often, the abundance of data quickly turns into an abundance of problems. How do you extract that "magic essence" from your data without falling into the common pitfalls? In her session at @ThingsExpo, Natalia Ponomareva, Software Engineer at Google, will provide tips on how to be successful in large scale machine learning. She will briefly review the frameworks available to train machine learning models on large amounts of data, touch on feature engineering and algorithm selection, and give a few tips to help you avoid the most common mistakes.
The benefits of efficiency and lower cost have been the primary drivers toward the cloud and SaaS deployments, but this is just the low-hanging fruit of a much greater body of potential. According to a Cisco-sponsored IDC report, a second wave of cloud adoption now targets a much more strategic set of benefits, with 54 percent of businesses surveyed expecting cloud to allow them to allocate IT budgets more strategically, and 53 percent looking to cloud solutions to increase revenues. According to the Cisco study, cloud and SaaS adoption takes place along a spectrum, with ad hoc deployment on one end and a centrally managed cloud platform on the other. On the ad hoc side, early adopters look to SaaS to solve an immediate need. These early adopters are often “power users” or ad hoc staff outside of IT, often managing a specific line of business, such as marketing, sales, or finance, and operating independently and often keeping the apps and potentially beneficial data to themselves.
Incumbent storage vendors such as EMC, Netapp, and Nutanix have built their rich code base on the block layer. This means that the only viable option to use Persistent Memory as a storage tier is to wrap it up with an abstraction layer that will present it as a block device.
The EMV liability shift that began in October 2015 is likely to reduce card present payment card fraud. That’s a double-edged sword for retailers with an online presence and those who accept mobile payments, as fraudsters are seeking easier routes to ill-gotten gain. Add to this the ongoing data breach environment that has become the new normal, and securing payment transactions has never been more significant.
In the world of DevOps there are ‘known good practices’ – aka ‘patterns’ – and ‘known bad practices’ – aka ‘anti-patterns.' Many of these patterns and anti-patterns have been developed from real world experience, especially by the early adopters of DevOps theory; but many are more feasible in theory than in practice, especially for more recent entrants to the DevOps scene. In this power panel at @DevOpsSummit at 18th Cloud Expo, moderated by DevOps Conference Chair Andi Mann, panelists will discuss the patterns and anti-patterns of DevOps, and what it means to ‘do the right thing’ in a DevOps way, but in the real world.
There is an ever-growing explosion of new devices that are connected to the Internet using “cloud” solutions. This rapid growth is creating a massive new demand for efficient access to data. And it’s not just about connecting to that data anymore. This new demand is bringing new issues and challenges and it is important for companies to scale for the coming growth. And with that scaling comes the need for greater security, gathering and data analysis, storage, connectivity and, of course, the need to find a platform (solution) that is capable of quickly and easily managing all of these complex necessities.
SYS-CON Events announced today that Ericsson has been named “Gold Sponsor” of SYS-CON's @ThingsExpo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. Ericsson is a world leader in the rapidly changing environment of communications technology – providing equipment, software and services to enable transformation through mobility. Some 40 percent of global mobile traffic runs through networks we have supplied. More than 1 billion subscribers around the world rely every day on networks that we manage. With more than 39,000 granted patents, we have one of the industry's strongest intellectual property rights portfolios.
Digital payments using wearable devices such as smart watches, fitness trackers, and payment wristbands are an increasing area of focus for industry participants, and consumer acceptance from early trials and deployments has encouraged some of the biggest names in technology and banking to continue their push to drive growth in this nascent market. Wearable payment systems may utilize near field communication (NFC), radio frequency identification (RFID), or quick response (QR) codes and barcodes as enabling technologies, and the contactless point of sale (POS) terminals and backend payment processing infrastructure being utilized for mobile payments are being leveraged to extend payment capabilities to wearables, as well.
More is being required today of network infrastructure than ever before, due in part to the changing latency and bandwidth needs of modern applications. Wide area networks (“WANs”) are feeling the pressure, especially those that use many technologies from different services providers, are geographically diverse and are stretched to the limit by increased video and cloud app usage. In view of these challenges, hybrid WAN architectures with advanced application-level traffic routing are of particular interest. They combine the reliability of private lines for critical business applications with the cost-effectiveness of broadband/Internet connectivity for non-critical traffic.
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
Technical decisions around data persistence are hard, which is why we surveyed 583 IT Professionals on everything from current DBMS and ORM usage to modern database engines’ data structures and access patterns to storing data on a mobile device. The two most mature commercial DBMS offerings (Oracle and MySQL) are used in production by 51% and 49% of respondents, respectively-significantly ahead of the third-ranked DBMS (SQL Server, at 34%). The top three, and the tight race between the top two, have not changed in years, among our survey respondents as well as on the DBMS ranking aggregator dbengines.com. The nearest NoSQL challenger, MongoDB, remains a distant fourth in production environments.
In 2006, Martin Fowler posted his now famous essay on Continuous Integration. Looking back, what seemed revolutionary, radical or just plain crazy is now common, pedestrian and "just what you do." I love it. Back then, building and releasing software was a real pain. Integration was something you did at the end, after code complete, and we didn't know how long it would take. Some people may recall how we, as an industry, spent a massive amount of time integrating code from one team with another, or even just between developers that sat next to each other. The arguments against it at the time seemed valid and impactful. Now they seem weak and silly. Fowler proposed Continuous Integration, an idea that was simple, elegant and had far-reaching repercussions. By producing constant, automated, self-testing builds in development, a huge amount of resource overhead typically incurred down the line was eliminated.
Increasing IoT connectivity is forcing enterprises to find elegant solutions to organize and visualize all incoming data from these connected devices with re-configurable dashboard widgets to effectively allow rapid decision-making for everything from immediate actions in tactical situations to strategic analysis and reporting. In his session at 18th Cloud Expo, Shikhir Singh, Senior Developer Relations Manager at Sencha, will discuss how to create HTML5 dashboards that interact with IoT devices via Ext JS constructed components like Grids, Charts, and Widgets.
Between the mockups and specs produced by analysts, and resulting applications built by developers, there exists a gulf where projects fail, costs spiral, and applications disappoint. Methodologies like Agile attempt to address this with intensified communication, with partial success but many limitations. In his session at 18th Cloud Expo, Charles Kendrick, CTO & Chief Architect at Isomorphic Software, will present a revolutionary model enabled by new technologies. Learn how business and development users can collaborate - each using tools appropriate to their expertise - to build mockups and enhance them all the way through functional prototypes, to final deployed applications. This approach helps you improve usability, exceed end-user expectations, and still hit project milestones.
Most people love new technology. It can make us more productive. It can lower our costs. It can be very “cool.” So, if it’s true and most people love new technology, why do we tend to adopt new technology on a “curve?” Why do innovators and early adopters jump in early while others become late majority or laggards? One answer is the effect of salespeople on the adoption curve. With innovators, salespeople probably make no difference. Innovators are going to buy new technology early and take a risk. It's important that they are the first to utilize and implement new technology. They probably know more about the technology than the salespeople do anyway. They have likely been researching the new stuff for months and probably were involved in beta-testing the product for the manufacturer.
I had the opportunity to catch up with Chris Corriere - DevOps Engineer at AutoTrader - to talk about his experiences in the realm of Rugged DevOps. We discussed automation, culture and collaboration, and which thought leaders he is following. Chris Corriere: Hey, I'm Chris Corriere. I'm a DevOps Engineer AutoTrader. Derek Weeks: Today we're going to talk about Rugged DevOps. It's a subject that's gaining a lot of traction in the community but not a lot of people are really familiar with what it is.
From fitness trackers to connected refrigerators to coffee makers, there is no end to how smart even the most inane technology can become. The Internet of Things (IoT) isn’t just changing how consumers manage their home security or order their coffee filters – it’s revolutionizing the very fabric of commerce. However, according to Gartner, IoT is still in its early days of maturity. Gartner predicts that through 2018 there will be no one prevailing IoT ecosystem platform. This means that in the next few years there will be a proliferation of different devices, products and approaches to IoT. In fact, Cisco predicts that there will be a whopping 50 billion connected devices by 2020.
As machines are increasingly connected to the internet, it’s becoming easier to discover the numerous ways Industrial IoT (IIoT) is helping to shape the business world. This is exactly why we have decided to take a closer look at this pervasive movement and to examine the desire to connect more things! Now if you need a refresher on IIoT and how it is changing the world, take a moment and listen to Greg Gorbach with ARC Advisory Group. Gorbach believes, "IIoT will significantly change the world. You won't participate with conventional thinking and an incremental approach."
A BriefingsDirect expert panel discussion examines the value and direction of The Open Group IT4IT initiative, a new reference architecture for managing IT as a business. IT4IT was a hot topic at The Open Group San Francisco 2016 conference in January, and the enterprise architect and IT leader attendees examined it from a variety of different angles. This panel, conducted live at the event, elevates the IT4IT discussion to the level of enabling digital business value.
Whether your IoT service is connecting cars, homes, appliances, wearable, cameras or other devices, one question hangs in the balance – how do you actually make money from this service? The ability to turn your IoT service into profit requires the ability to create a monetization strategy that is flexible, scalable and working for you in real-time. It must be a transparent, smoothly implemented strategy that all stakeholders – from customers to the board – will be able to understand and comprehend.
It is a sad but very real truth that many, dare I say most, IT professionals consider alerts to be the bane of their existence. After all, they’re annoying, noisy, mostly useless and frequently false. Thus, we IT professionals who specialize in IT monitoring are likely well acquainted with that familiar sinking feeling brought on by the discovery that the alert you so painstakingly crafted is being ignored by the team who receives it.
Regulations around data sovereignty are forcing enterprises to consider new approaches to data location, intellectual property, and cloud collaboration services. As organizations move beyond their on-premises data centers, regulation and data sovereignty issues have become as important as the technical requirements for their cloud infrastructure and applications.
As the rapid adoption of containers continues, companies are finding that they lack the operational tools to understand the behavior of applications deployed in these containers, and how to identify issues in their application infrastructure. For example, how are multiple containers within an application impacting each other’s performance? If an application’s service is degraded, which container is to blame? In the case of an application outage, what was the root cause of the outage?
Data persistence has a way of sneaking up on developers. You start out with a simple, straightforward database that can functionally hold the data you’re working with and the data you need to work with later. But as your needs change, you start to modify it here and there, until it becomes a brittle tangle of tables and keys and indexes. You need something more dynamic, but you need to retain the ability to retrieve your persistent data. Now, you’re miles from where you started, and staring down the possibility of having to adopt a whole new system. That persistent data is fundamental to nearly any operation that utilizes database management systems (DBMS), but while the growth of dynamic data has led to sophisticated and reliable new relational management systems, real-world techniques for optimal data storage and retrieval have sometimes been lost in the shuffle. With that in mind, we’ve put together a new edition of our comprehensive DZone Guide to Data Persistence.
The notion of customer journeys, of course, are central to the digital marketer’s playbook. Clearly, enterprises should focus their digital efforts on such journeys, as they represent customer interactions over time. But making customer journeys the centerpiece of the enterprise architecture, however, leaves more questions than answers. The challenge arises when EAs consider the context of the customer journey in the overall architecture as well as the architectural elements that make up each customer journey. After all, dividing up the world into familiar layers like process, data, and technology is relatively straightforward. There are overlaps and ambiguities at the edges to be sure, but everyone approaches such layers with a relatively common understanding of the overall scope of each layer and what belongs within each one.