When you focus on a journey from up-close, you look at your own technical and cultural history and how you changed it for the benefit of the customer. This was our starting point: too many integration issues, 13 SWP days and very long cycles. It was evident that in this fast-paced industry we could no longer afford this reality. We needed something that would take us beyond reducing the development lifecycles, CI and Agile methodologies. We made a fundamental difference, even changed our culture.
2016 has been an amazing year for Docker and the container industry. We had 3 major releases of Docker engine this year , and tremendous increase in usage. The community has been following along and contributing amazing Docker resources to help you learn and get hands-on experience. Here’s some of the top read and viewed content for the year. Of course releases are always really popular, particularly when they fit requests we had from the community.
When building DevOps or continuous delivery practices you can learn a great deal from others. What choices did they make, what practices did they put in place, and how did they connect the dots? At Sonatype, we pulled together a set of 21 reference architectures for folks building continuous delivery and DevOps practices using Docker. Why? After 3,000 DevOps professionals attended our webinar on "Continuous Integration using Docker" discussing just one reference architecture example, we recognized there was a strong interest in the community to learn more. That's why we assembled 20 more reference architectures into this collection.
Here’s a novel, but controversial statement, “it’s time for the CEO, COO, CIO to start to take joint responsibility for application platform decisions.” For too many years now technical meritocracy has led the decision-making for the business with regard to platform selection. This includes, but is not limited to, servers, operating systems, virtualization, cloud and application platforms. In many of these cases the decision has not worked in favor of the business with regard to agility and costs.
When you focus on a journey from up-close, you look at your own technical and cultural history and how you changed it for the benefit of the customer. This was our starting point: too many integration issues, 13 SWP days and very long cycles. It was evident that in this fast-paced industry we could no longer afford this reality. We needed something that would take us beyond reducing the development lifecycles, CI and Agile methodologies. We made a fundamental difference, even changed our culture.
In a world that operates on billions of digits every day, humans are too slow and inattentive. To adapt, we must automate the processing of millions of complex transactions on a daily basis, at speeds fast enough to satisfy impatient digital users. This adaption requires a massive level of digital transformation that can support operations, business processes and decision-making speeds faster than is humanly possible.
As good Venn diagrams always show it's the intersection areas that offer the sweet spot for trends and markets, and an especially potent one is the intersection of Cloud computing, with the blockchain and also digital identity, particularly when considered within contexts such as Digital Democracy. Given the diversity of each field alone there are multiple perspectives to this, more the start of a conversation rather than a definitive design.
The insurance industry is well aware that digital transformation is coming, even if some CIOs can’t really say what their individual companies will look like at the end of it all. In a survey of thousands of C-level execs around the world, insurance came in among the top five industries that are most likely to see “moderate to massive” digital disruption within the next 12 months. Only 20 percent of business leaders felt that they had the talent they needed to transform the enterprise, though. Here’s a closer look at what’s coming next in the exciting new era of software-defined insurance companies.
A look across the tech landscape at the disruptive technologies that are increasing in prominence and speculate as to which will be most impactful for communications – namely, AI and Cloud Computing. In his session at 20th Cloud Expo, Curtis Peterson, VP of Operations at RingCentral, will highlight the current challenges of these transformative technologies and share strategies for preparing your organization for these changes. This “view from the top” will outline the latest trends and developments in AI and Cloud Computing technology innovation for enterprise communications to help you shape your future strategy.
WebRTC sits at the intersection between VoIP and the Web. As such, it poses some interesting challenges for those developing services on top of it, but also for those who need to test and monitor these services. In his session at WebRTC Summit, Tsahi Levent-Levi, co-founder of testRTC, reviewed the various challenges posed by WebRTC when it comes to testing and monitoring and on ways to overcome them.
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science books. But I recommend to my students to start with the book “Moneyball.” The book does a great job of making the power of data science come to life (and the movie doesn’t count, as my wife saw it and “Brad Pitt is so cute!” was her only takeaway…ugh).
When call centers first came about in the 1960s, they were built over PBX systems. Private Branch Exchanges (PBX) are essentially a small-scale version of the telephone exchange and are typically handled by one of the few telephone network providers in the country. Fast forward to today, a call center software provider does not need to own even the VoIP line that is necessary to handle communication. The software can simply connect to third party VoIP services with the help of an API and get started on their service. The cloud has brought down the cost of operating a business and while this is a good thing for the consumers, it also means a rise in the number of competitors one has to deal with.
Every successful software product evolves from an idea to an enterprise system. Notably, the same way is passed by the product owner's company. In his session at 20th Cloud Expo, Oleg Lola, CEO of MobiDev, will provide a generalized overview of the evolution of a software product, the product owner, the needs that arise at various stages of this process, and the value brought by a software development partner to the product owner as a response to these needs.
As more organizations try to determine where best to deploy their limited budgets to support data and analytics initiatives, they realize a need to ascertain the financial value of their data and analytics – which means basic economic concepts are coming into play. While many of you probably took an economics class in college not too long ago, some more “seasoned” readers may be rusty.
LogitBot in New York identifies, manages, and contextually categorizes truly massive and diverse data sources. The next BriefingsDirect Voice of the Customer digital transformation case study highlights how high-performing big-data analysis powers an innovative artificial intelligence (AI)-based investment opportunity and evaluation tool. We'll learn how LogitBot in New York identifies, manages, and contextually categorizes truly massive and diverse data source
In September 2014, Apple made encryption default with the introduction of the iPhone 6. Then, in February 2016, a Los Angeles judge issued an order to Apple to help break into the encrypted iPhone belonging to a terrorist involved in a mass shooting. Apple had used some of the strongest encryption technologies and practices to protect its users and their data. The encryption technology did not discriminate between lawful and unlawful users. While there were many sides to this issue, it surfaced many important debates on security, privacy, and civil rights.
When building DevOps or continuous delivery practices you can learn a great deal from others. What choices did they make, what practices did they put in place, and how did they connect the dots? At Sonatype, we pulled together a set of 21 reference architectures for folks building continuous delivery and DevOps practices using Docker. Why? After 3,000 DevOps professionals attended our webinar on "Continuous Integration using Docker" discussing just one reference architecture example, we recognized there was a strong interest in the community to learn more. That's why we assembled 20 more reference architectures into this collection.
In his General Session at DevOps Summit, Asaf Yigal, Co-Founder & VP of Product at Logz.io, will explore the value of Kibana 4 for log analysis and will give a real live, hands-on tutorial on how to set up Kibana 4 and get the most out of Apache log files. He will examine three use cases: IT operations, business intelligence, and security and compliance. This is a hands-on session that will require participants to bring their own laptops, and we will provide the rest.
A look across the tech landscape at the disruptive technologies that are increasing in prominence and speculate as to which will be most impactful for communications – namely, AI and Cloud Computing. In his session at 20th Cloud Expo, Curtis Peterson, VP of Operations at RingCentral, will highlight the current challenges of these transformative technologies and share strategies for preparing your organization for these changes. This “view from the top” will outline the latest trends and developments in AI and Cloud Computing technology innovation for enterprise communications to help you shape your future strategy.
With cybersecurity on the everyone's mind, 2017 will be see the emergence of True Fog Computing and Programmable / Intelligent Edge Devices with the strongest security measures to-date. As 2017 kicks into full gear and a particularly interesting 2016 fades into the rearview mirror, we took a look around the IIoT landscape to see what this year might potentially have in store. We will be unveiling five IIoT-related predictions throughout this week and into next, so stay tuned and let us know what you think!
I love the simplicity of the data science concepts as taught by the book “Moneyball.” Everyone wants to jump right into the real meaty, highly technical data science books. But I recommend to my students to start with the book “Moneyball.” The book does a great job of making the power of data science come to life (and the movie doesn’t count, as my wife saw it and “Brad Pitt is so cute!” was her only takeaway…ugh).
SYS-CON Events announced today that Catchpoint Systems, Inc., a provider of innovative web and infrastructure monitoring solutions, has been named “Silver Sponsor” of SYS-CON's DevOps Summit at 18th Cloud Expo New York, which will take place June 7-9, 2016, at the Javits Center in New York City, NY. Catchpoint is a leading Digital Performance Analytics company that provides unparalleled insight into customer-critical services to help consistently deliver an amazing customer experience. Designed for digital business, Catchpoint is the only end-user experience monitoring (EUM) platform that can simultaneously capture, index and analyze object level performance data inline across the most extensive monitor types and node coverage, enabling a smarter, faster way to preempt issues and optimize service delivery. More than 350 customers in over 30 countries trust Catchpoint to strengthen their brands and grow their businesses. Founded in September 2008 by former DoubleClick/Google veterans and backed by Battery Ventures, Catchpoint Systems is headquartered in New York City.
Thanks to its many business benefits, cloud computing is becoming commonplace within organizations of all sizes. Historically, companies have struggled to determine which model – public or private – best met their needs. But of late, IT professionals are increasingly starting to realize that both public and private clouds can exist harmoniously within the same organization, and that, in many instances, a hybrid cloud model can actually be the most effective approach.
Security, data privacy, reliability, and regulatory compliance are critical factors when evaluating whether to move business applications from in-house, client-hosted environments to a cloud platform. Quality assurance plays a vital role in ensuring that the appropriate level of risk assessment, verification, and validation takes place to ensure business continuity during the migration to a new cloud platform.
Docker containers have brought great opportunities to shorten the deployment process through continuous integration and the delivery of applications and microservices. This applies equally to enterprise data centers as well as the cloud. In his session at 20th Cloud Expo, Jari Kolehmainen, founder and CTO of Kontena, will discuss solutions and benefits of a deeply integrated deployment pipeline using technologies such as container management platforms, Docker containers, and the drone.io Cl tool. He also will demonstrate deployment of a CI/CD pipeline using container management, as well as show how to deploy a containerized application through a continuous delivery pipeline.