It seems as if the whole world wants to talk about Industry 4.0 (or Industrie 4.0 if you prefer the European spelling). Industry 4.0 is embodied by two main buzz worthy topics known as the Internet of Things (IoT) and Big Data / Advanced Analytics. The "4.0" references what many consider to be the fourth major industrial revolution. The first being the utilization of machines, the second involving assembly lines and mass production, the third employing automation, and now the fourth: cyber physical systems (machines communicating with one another). That modest single digit pales in comparison to the other numbers that are bantered about when talking about Industry 4.0. Most estimate that there will be 22.5 Billion IoT devices by 2021 - or roughly three for every one person on earth. Along with that is the prediction that $4.8 trillion will be invested in IoT between 2016 and 2021. In many ways these numbers are mind-numbing and hard to translate into practical understanding.
If you are thinking about moving applications off a mainframe and over to open systems and the cloud, consider these guidelines to prioritize what to move and what to eliminate. On the surface, mainframe architecture seems relatively simple: A centrally located computer processes data through an input/output subsystem and stores its computations in memory. At the other end of the mainframe are printers and terminals that communicate with the mainframe through protocols. For all of its apparent simplicity, mainframe architecture can be extraordinarily complex. Mainframes process thousands of transactions per second and require an extensive infrastructure to house and maintain them. The hundreds, or perhaps thousands, of terminals (think of a bank’s ATM network) require a message routing scheme that can quickly prioritize and route transaction requests.
IoT in connected Government helps to deliver better citizen services and provides transparency. It helps in delivering contextual and personalized service to citizens, enhances the security, and improves the quality of life. The reference architecture provides guidance for the development of government systems, solutions and application architecture. A reference architecture provides a common framework and allows the design to follow the consistent definitions for the system of interest, its decompositions and design patterns.
Technology integration is complex and an evergreen business challenge for IT teams. Enterprises setup manual & point to point connections to exchange data from business partners. However, data disruptions emerge when the business IT systems expand and prevents organizations from sharing data with partners. Information exchange with this approach requires more resources and manpower is required. For such scenarios, information solution experts recommend to use the B2B data exchange tool to support the Electronic Data Interchange. However, enterprises are struck in a dilemma to go for an in house or a b2b solution. This blog will help you in deciding whether to develop an in-house solution or a dedicated information solution
"Outscale was founded in 2010, is based in France, is a strategic partner to Dassault Systémes and has done quite a bit of work with divisions of Dassault," explained Jackie Funk, Digital Marketing exec at Outscale, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
Blockchain technology is taking over the world. It is an ingenious invention by a person or a group of people known by the pseudonym, Satoshi Nakamoto. Unless you’ve been living under a rock for the past 8 years, you have heard of Bitcoin. The underlying technology behind Bitcoin is called blockchain. It is a public ledger of all the Bitcoin transactions ever happened on its network.
"With Digital Experience Monitoring what used to be a simple visit to a web page has exploded into app on phones, data from social media feeds, competitive benchmarking - these are all components that are only available because of some type of digital asset," explained Leo Vasiliou, Director of Web Performance Engineering at Catchpoint Systems, in this SYS-CON.tv interview at DevOps Summit at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
All organizations that did not originate this moment have a pre-existing culture as well as legacy technology and processes that can be more or less amenable to DevOps implementation. That organizational culture is influenced by the personalities and management styles of Executive Management, the wider culture in which the organization is situated, and the personalities of key team members at all levels of the organization. This culture and entrenched interests usually throw a wrench in the works because of misaligned incentives.
DevOps sees the coming together of practices, philosophies, and tools that allow you to create services and applications very quickly. This means that you can improve on your apps and evolve them at a much faster rate than those developers who are using traditional software development processes. We’ve talked about DevOps, in general, a great deal, but today, we’re going to dig a little deeper and take a look at Java DevOps specifically.
From personal care products to groceries and movies on demand, cloud-based subscriptions are fulfilling the needs of consumers across an array of market sectors. Nowhere is this shift to subscription services more evident than in the technology sector. By adopting an Everything-as-a-Service (XaaS) delivery model, companies are able to tailor their computing environments to shape the experiences they want for customers as well as their workforce.
As we have seen over and over again, a new wave of ransomware attacks has been plaguing large parts of Europe over the last couple of weeks. While the affected individuals and organizations are struggling with the very tangible business impact of the loss of revenue and operations, it’s critical to step back and review what else one could do to mitigate and minimize the damage from such attacks in the future.
In the enterprise today, connected IoT devices are everywhere – both inside and outside corporate environments. The need to identify, manage, control and secure a quickly growing web of connections and outside devices is making the already challenging task of security even more important, and onerous. In his session at @ThingsExpo, Rich Boyer, CISO and Chief Architect for Security at NTT i3, discussed new ways of thinking and the approaches needed to address the emerging challenges of security in the enterprise. With a focus on the challenges and specific technical solutions possible using distributed trust, mutability, autonomy, and disposability, he showed how a single cohesive security management infrastructure can be created for the enterprise while still allowing the distributed value of IoT to exist anywhere.
What sort of WebRTC based applications can we expect to see over the next year and beyond? One way to predict development trends is to see what sorts of applications startups are building. In his session at @ThingsExpo, Arin Sime, founder of WebRTC.ventures, discussed the current and likely future trends in WebRTC application development based on real requests for custom applications from real customers, as well as other public sources of information.
The winning trinity in competitive decision-making includes people, ideas and things according to the renowned military strategist John Boyd. Although competitive decision-making is not yet an Olympic sport, it affects us all. Leaders (people) must become trained experts at using digital technologies to make fast decisions. Leaders must use the right strategies and methodologies (ideas) to make wise decisions fast, and they must collect the needed data and analyze it fast enough using the best solutions (things). If any component of this trinity is weak, it will be hard to compete.
In his session at 20th Cloud Expo, Mike Johnston, an infrastructure engineer at Supergiant.io, discussed how to use Kubernetes to set up a SaaS infrastructure for your business. Mike Johnston is an infrastructure engineer at Supergiant.io with over 12 years of experience designing, deploying, and maintaining server and workstation infrastructure at all scales. He has experience with brick and mortar data centers as well as cloud providers like Digital Ocean, Amazon Web Services, and Rackspace. His expertise is in automating deployment, management, and problem resolution in these environments, allowing his teams to run large transactional applications with high availability and the speed the consumer demands.
Sometimes I write a blog just to formulate and organize a point of view, and I think it’s time that I pull together the bounty of excellent information about Machine Learning. This is a topic with which business leaders must become comfortable, especially tomorrow’s business leaders (tip for my next semester University of San Francisco business students!). Machine learning is a key capability that will help organizations drive optimization and monetization opportunities, and there have been some recent developments that will place basic machine learning capabilities into the hands of the lines of business.
FinTechs use the cloud to operate at the speed and scale of digital financial activity, but are often hindered by the complexity of managing security and compliance in the cloud. In his session at 20th Cloud Expo, Sesh Murthy, co-founder and CTO of Cloud Raxak, showed how proactive and automated cloud security enables FinTechs to leverage the cloud to achieve their business goals. Through business-driven cloud security, FinTechs can speed time-to-market, diminish risk and costs, maintain continuous compliance, and set themselves up for success.
With continuous delivery (CD) almost always in the spotlight, continuous integration (CI) is often left out in the cold. Indeed, it's been in use for so long and so widely, we often take the model for granted. So what is CI and how can you make the most of it? This blog is intended to answer those questions. Before we step into examining CI, we need to look back. Software developers often work in small teams and modularity, and need to integrate their changes with the rest of the project code base. Waiting to integrate code creates merge conflicts, bugs that can be tricky to resolve, diverging code strategies, and duplicated effort. Before CI, developers also had a problem of wasted time: they compiled and built their changes multiple times a day on their own machine and had to sit idle waiting for these processes to complete. Integrating the changes from all teams happened only at night on big dedicated "build" servers and any issues during this build could create further idle time the next morning as developers isolate and resolve last night's issues. Before we step into examining CI, we need to look back. Software developers often work in small teams and modularity, and need to integrate their changes with the rest of the project code base. Waiting to integrate code creates merge conflicts, bugs that can be tricky to resolve, diverging code strategies, and duplicated effort. Before CI, developers also had a problem of wasted time: they compiled and built their changes multiple times a day on their own machine and had to sit idle waiting for these processes to complete. Integrating the changes from all teams happened only at night on big dedicated "build" servers and any issues during this build could create further idle time the next morning as developers isolate and resolve last night's issues.
The renowned military strategist John Boyd taught that people and institutions collect favorite philosophies, strategies, theories and ideologies over a period of time, and then try to align the future to fit them. The problem with this is the future is rarely like the past, and trying to fit new data into old paradigms often forces us to perform irrational mental gymnastics, which leaves us farther from the truth.
"We focus on SAP workloads because they are among the most powerful but somewhat challenging workloads out there to take into public cloud," explained Swen Conrad, CEO of Ocean9, Inc., in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
"We are an IT services solution provider and we sell software to support those solutions. Our focus and key areas are around security, enterprise monitoring, and continuous delivery optimization," noted John Balsavage, President of A&I Solutions, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
With tough new regulations coming to Europe on data privacy in May 2018, Calligo will explain why in reality the effect is global and transforms how you consider critical data. EU GDPR fundamentally rewrites the rules for cloud, Big Data and IoT. In his session at 21st Cloud Expo, Adam Ryan, Vice President and General Manager EMEA at Calligo, will examine the regulations and provide insight on how it affects technology, challenges the established rules and will usher in new levels of diligence around personal data.
SYS-CON Events announced today that Calligo has been named “Bronze Sponsor” of SYS-CON's 21st International Cloud Expo®, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Calligo is an innovative cloud service provider offering mid-sized companies the highest levels of data privacy. Calligo offers unparalleled application performance guarantees, commercial flexibility and a personalized support service from its globally located cloud platforms. Through its four pillars of focus, Calligo delivers a platform that businesses can trust to deliver the high level of service and protection they expect and is lacking in many cloud offerings.
Kubernetes is an open source system for automating deployment, scaling, and management of containerized applications. Kubernetes was originally built by Google, leveraging years of experience with managing container workloads, and is now a Cloud Native Compute Foundation (CNCF) project. Kubernetes has been widely adopted by the community, supported on all major public and private cloud providers, and is gaining rapid adoption in enterprises. However, Kubernetes may seem intimidating and complex to learn. This is because Kubernetes is more of a toolset than a ready solution. Hence it’s essential to know when and how to apply the appropriate Kubernetes constructs.
Without a doubt, we’re at a tipping point when it comes to security and the Internet of Things (IoT). Recently, security flaws have been exposed in consumer products, including children’s toys, baby monitors, cars, and pacemakers. In late October 2016, Dyn®, an internet infrastructure vendor, suffered a malicious DDoS attack that was achieved by leveraging malware on IoT devices such as webcams and printers that were connected to the Dyn network. No, IoT security concerns are not new. In fact, any device that’s connected to a network represents an opportunity for malicious activity. But what is new is the exponential rate at which consumer-grade IoT devices are now being connected to corporate networks, and doing so (for the most part) without IT’s knowledge. This trend is both astounding and alarming: if your end-user is now empowered to bring in and deploy devices at their convenience, your IT department is left with an unprecedented security blind spot. How can you defend against something you don’t know is a vulnerability?