Cell networks have the advantage of long-range communications, reaching an estimated 90% of the world. But cell networks such as 2G, 3G and LTE consume lots of power and were designed for connecting people. They are not optimized for low- or battery-powered devices or for IoT applications with infrequently transmitted data. Cell IoT modules that support narrow-band IoT and 4G cell networks will enable cell connectivity, device management, and app enablement for low-power wide-area network IoT. By using cell IoT modules, telecom service providers, mobile network operators can more quickly and easily develop and deploy IoT that use cell communications.
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully been able to harness the excess capacity of privately owned vehicles and turned into a meaningful business. This concept can be step-functioned to harnessing the spare compute capacity of smartphones that can be orchestrated by MEC to provide cloud service at the edge.
So data warehousing may not be cool anymore, you say? It’s yesterday’s technology (or 1990’s technology if you’re as old as me) that served yesterday’s business needs. And while it’s true that recent big data and data science technologies, architectures and methodologies seems to have rendered data warehousing to the back burner, it is entirely false that there is not a critical role for the data warehouse and Business Intelligence in digitally transformed organizations.
The next BriefingsDirect developer productivity insights interview explores how a South African insurance innovator has built a modern hyperconverged infrastructure (HCI) IT environment that replicates databases so fast that developers can test and re-test to their hearts’ content. We’ll now learn how King Price in Pretoria also gained data efficiencies and heightened disaster recovery benefits from their expanding HCI-enabled architecture. Here to help explore the myriad benefits of a data transfer intensive environment is Jacobus Steyn, Operations Manager at King Price in Pretoria, South Africa. The discussion is moderated by Dana Gardner, principal analyst at Interarbor Solutions.
Disruption, Innovation, Artificial Intelligence and Machine Learning, Leadership and Management hear these words all day every day... lofty goals but how do we make it real? Add to that, that simply put, people don't like change. But what if we could implement and utilize these enterprise tools in a fast and "Non-Disruptive" way, enabling us to glean insights about our business, identify and reduce exposure, risk and liability, and secure business continuity?
Consumer-driven contracts are an essential part of a mature microservice testing portfolio enabling independent service deployments. In this presentation we'll provide an overview of the tools, patterns and pain points we've seen when implementing contract testing in large development organizations.
A traditional way of software development efforts reimbursing is pay by the hour, which in case of remote programmers means $20-50 per hour, depening on the territory and the complexity of tech stack. However, what is the real amount of work programmers are delivering for that money? How many features and bug fixes they are usually capable of closing in a single working hour? Those metrics are rarely being calculated. In the presentation I will demonstrate the numbers obtained from over 30 projects completely in the last four years, all remotely. The numbers will show that the real amount of money we spend on coding is much higher than we expect.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
The next BriefingsDirect digital transformation success story examines how local governments in Norway benefit from a common platform approach for safe and efficient public data distribution. We’ll now learn how Norway’s 18 counties are gaining a common shared pool for data on young people’s health and other sensitive information thanks to streamlined benefits of hyperconverged infrastructure (HCI), containers, and microservices.
Digital Initiatives create new ways of conducting business, which drive the need for increasingly advanced security and regulatory compliance challenges with exponentially more damaging consequences. In the BMC and Forbes Insights Survey in 2016, 97% of executives said they expect a rise in data breach attempts in the next 12 months. Sixty percent said operations and security teams have only a general understanding of each other’s requirements, resulting in a “SecOps gap” leaving organizations unable to mobilize to protect themselves. The result: many enterprises face unnecessary risks to data loss and production downtime.
Software development cycles are increasingly difficult to predict, and the uncertainty can make teams feel as if they have lost control over the consistency of software testing. But this doesn’t have to be the case. In this article, I will detail here a number of ways to improve the predictability of software testing across multiple teams and projects that will lead to improved performance and greater success.
Bill Schmarzo, Tech Chair of "Big Data | Analytics" of upcoming CloudEXPO | DXWorldEXPO New York (November 12-13, 2018, New York City) today announced the outline and schedule of the track. "The track has been designed in experience/degree order," said Schmarzo. "So, that folks who attend the entire track can leave the conference with some of the skills necessary to get their work done when they get back to their offices. It actually ties back to some work that I'm doing at the University of San Francisco which creates an "Outcomes-Centric Business Analytics" degree." Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
In this article I will attempt to clarify the orthogonality (independence) of Object Oriented thinking to Procedural thinking. This will lead to a refined definition for Objects and then a discussion of what this means for developing Object Oriented applications.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, will provide an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereum.
TCP (Transmission Control Protocol) is a common and reliable transmission protocol on the Internet. TCP was introduced in the 70s by Stanford University for US Defense to establish connectivity between distributed systems to maintain a backup of defense information. At the time, TCP was introduced to communicate amongst a selected set of devices for a smaller dataset over shorter distances. As the Internet evolved, however, the number of applications and users, and the types of data accessed and stored also evolved. The original intent of TCP was to communicate data in the form of text across computers; today’s data transfer is more complex including high pixel images, audio files, and video delivery.
Traditional retailers have had plenty of time to get their act together, as Amazon is a survivor of the dot-com frenzy of the 1990s. To be sure, they have each implemented one online strategy or another, but as they soon realized, simply selling goods online barely accounts for a blip on Amazon’s inexorable growth trajectory. As the Digital Era dawned with the rise of smartphones, retailers realized they had to reinvent the sales channel or face extinction. The multichannel strategies of the late 1990s and early 2000s – adding ‘web’ to ‘in-store,’ ‘phone orders,’ and ‘mail order’ – wasn’t going to turn their fortunes around. And so, omnichannel was born.
"Peak 10 is a hybrid infrastructure provider across the nation. We are in the thick of things when it comes to hybrid IT," explained , Chief Technology Officer at Peak 10, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Serveless Architectures brings the ability to independently scale, deploy and heal based on workloads and move away from monolithic designs. From the front-end, middle-ware and back-end layers, serverless workloads potentially have a larger security risk surface due to the many moving pieces. This talk will focus on key areas to consider for securing end to end, from dev to prod. We will discuss patterns for end to end TLS, session management, scaling to absorb attacks and mitigation techniques.
"DevOps is set to be one of the most profound disruptions to hit IT in decades," said Andi Mann. "It is a natural extension of cloud computing, and I have seen both firsthand and in independent research the fantastic results DevOps delivers. So I am excited to help the great team at @DevOpsSUMMIT and CloudEXPO tell the world how they can leverage this emerging disruptive trend."
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and the founder of Teleku, a communications-as-a-service cloud platform which was acquired by Voxeo. Chris was also the founder of Digital Voice Technologies, the creator of the first VoiceXML-powered voice browser, which was acquired by Ideas & Associates.
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments that frequently get lost in the hype. The panel will discuss their perspective on what they see as they key challenges and/or impediments to adoption, and how they see those issues could be resolved or mitigated.
In his keynote at 18th Cloud Expo, Andrew Keys, Co-Founder of ConsenSys Enterprise, will provide an overview of the evolution of the Internet and the Database and the future of their combination – the Blockchain. Andrew Keys is Co-Founder of ConsenSys Enterprise. He comes to ConsenSys Enterprise with capital markets, technology and entrepreneurial experience. Previously, he worked for UBS investment bank in equities analysis. Later, he was responsible for the creation and distribution of life settlement products to hedge funds and investment banks. After, he co-founded a revenue cycle management company where he learned about Bitcoin and eventually Ethereum.
Chris Matthieu is the President & CEO of Computes, inc. He brings 30 years of experience in development and launches of disruptive technologies to create new market opportunities as well as enhance enterprise product portfolios with emerging technologies. His most recent venture was Octoblu, a cross-protocol Internet of Things (IoT) mesh network platform, acquired by Citrix. Prior to co-founding Octoblu, Chris was founder of Nodester, an open-source Node.JS PaaS which was acquired by AppFog and the founder of Teleku, a communications-as-a-service cloud platform which was acquired by Voxeo. Chris was also the founder of Digital Voice Technologies, the creator of the first VoiceXML-powered voice browser, which was acquired by Ideas & Associates.
Virtualization over the past years has become a key strategy for IT to acquire multi-tenancy, increase utilization, develop elasticity and improve security. And virtual machines (VMs) are quickly becoming a main vehicle for developing and deploying applications. The introduction of containers seems to be bringing another and perhaps overlapped solution for achieving the same above-mentioned benefits. Are a container and a virtual machine fundamentally the same or different? And how? Is one technically superior to the other? What about performance and security? Does IT need either one, or both?