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?
If technical debt were like monetary debt, it would be hard to keep track of it unless you checked in manually. The only way many people find out their checking account is running out of funds is by logging in and checking the balance — or, worse, having a check bounce or a debit card declined. But measuring technical debt can be more automatic. That’s because, unlike your bank account, your IT infrastructure can be monitored on an ongoing basis with specialized tools, and you can get notified on critical health metrics. In turn, you can use monitoring data to gain information about technical debt. In other words, you don’t have to do a manual audit to know when something is going awry in your data center. You don’t have to wait for a server to go down before learning about a problem. Incident Management tools provide that information for you. By extension, they also offer a way for you to take stock of your technical debt without having to measure things tediously by hand.
I developed a bot. Last weekend I opened the website https://rundexter.com/bot and developed a bot, which I then integrated with Twilio for messaging. I named it BeccaBot after our daughter. Just to be clear, her name is Becca, not Bot. It was a bot designed purely to freak-out our daughter. It was highly successful. Here are some things I learned. You tell the bot to look for specific words or even phrases and then act upon them in specified ways. You can answer with text, or a website link, or an image, etc. You can ask for a name, and program the bot to remember the name.
DevOps has often been described in terms of CAMS: Culture, Automation, Measuring, Sharing. While we’ve seen a lot of focus on the “A” and even on the “M”, there are very few examples of why the “C" is equally important in the DevOps equation. In her session at @DevOps Summit, Lori MacVittie, of F5 Networks, explored HTTP/1 and HTTP/2 along with Microservices to illustrate why a collaborative culture between Dev, Ops, and the Network is critical to ensuring success.
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
A Continuous Delivery pipeline as part of an Agile transformation is like spices in a meal. Without them, the food is bland and worthless. On the other hand, the right blend of spices will leave you craving more, stimulating your senses and energizing you. But as any good cook will tell you, it can be a bit difficult to find the exact right blend of spices for a specific dish.
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., will discuss how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management.
If technical debt were like monetary debt, it would be hard to keep track of it unless you checked in manually. The only way many people find out their checking account is running out of funds is by logging in and checking the balance — or, worse, having a check bounce or a debit card declined. But measuring technical debt can be more automatic. That’s because, unlike your bank account, your IT infrastructure can be monitored on an ongoing basis with specialized tools, and you can get notified on critical health metrics. In turn, you can use monitoring data to gain information about technical debt. In other words, you don’t have to do a manual audit to know when something is going awry in your data center. You don’t have to wait for a server to go down before learning about a problem. Incident Management tools provide that information for you. By extension, they also offer a way for you to take stock of your technical debt without having to measure things tediously by hand.
When a person has clogged arteries it restricts and reduces the flow of oxygen rich blood through their body. Clogged arteries also greatly increase the risk of strokes, heart attacks and even death. In the digital age the equivalent of oxygen rich blood for organizations is the data running through an information logistics system. Healthy and digitally mature organizations have in place an optimized information logistics system (OILS), that enables data to flow unencumbered and efficiently throughout an organization in digital-time. Data must flow in digital-time, a speed which is fast enough to satisfy even impatient digital consumers.
Enterprise mobility has become table stakes in the world of business. The ability to access current information at any time, from anywhere, on any device has really become a cliché. The familiarity we all have with smartphones and wireless access, actually obscures the true difficulty of developing and executing an effective corporate mobile strategy. This reality is driven by the fact that companies must actually have two mobile strategies.
I developed a bot. Last weekend I opened the website https://rundexter.com/bot and developed a bot, which I then integrated with Twilio for messaging. I named it BeccaBot after our daughter. Just to be clear, her name is Becca, not Bot. It was a bot designed purely to freak-out our daughter. It was highly successful. Here are some things I learned. You tell the bot to look for specific words or even phrases and then act upon them in specified ways. You can answer with text, or a website link, or an image, etc. You can ask for a name, and program the bot to remember the name.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, will discuss the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.
SYS-CON Events announced today that Telecom Reseller has been named “Media Sponsor” of SYS-CON's 20th International Cloud Expo, which will take place on June 6–8, 2017, at the Javits Center in New York City, NY. Telecom Reseller reports on Unified Communications, UCaaS, BPaaS for enterprise and SMBs. They report extensively on both customer premises based solutions such as IP-PBX as well as cloud based and hosted platforms.
Deep learning has been very successful in social sciences and specially areas where there is a lot of data. Trading is another field that can be viewed as social science with a lot of data. With the advent of Deep Learning and Big Data technologies for efficient computation, we are finally able to use the same methods in investment management as we would in face recognition or in making chat-bots. In his session at 20th Cloud Expo, Gaurav Chakravorty, co-founder and Head of Strategy Development at qplum, will discuss the transformational impact of Artificial Intelligence and Deep Learning in making trading a scientific process. This focus on learning a hierarchical set of concepts is truly making investing a scientific process, a utility.
Historically, some banking activities such as trading have been relying heavily on analytics and cutting edge algorithmic tools. The coming of age of powerful data analytics solutions combined with the development of intelligent algorithms have created new opportunities for financial institutions. In his session at 20th Cloud Expo, Sebastien Meunier, Head of Digital for North America at Chappuis Halder & Co., will discuss how these tools can be leveraged to develop a lasting competitive advantage in priority areas: customer analytics, financial crime prevention, regulatory compliance and risk management.
Enterprise mobility has become table stakes in the world of business. The ability to access current information at any time, from anywhere, on any device has really become a cliché. The familiarity we all have with smartphones and wireless access, actually obscures the true difficulty of developing and executing an effective corporate mobile strategy. This reality is driven by the fact that companies must actually have two mobile strategies.
When a person has clogged arteries it restricts and reduces the flow of oxygen rich blood through their body. Clogged arteries also greatly increase the risk of strokes, heart attacks and even death. In the digital age the equivalent of oxygen rich blood for organizations is the data running through an information logistics system. Healthy and digitally mature organizations have in place an optimized information logistics system (OILS), that enables data to flow unencumbered and efficiently throughout an organization in digital-time. Data must flow in digital-time, a speed which is fast enough to satisfy even impatient digital consumers.
The United States Patent and Trademark Office (USPTO) recently announced an expansion of PatentsView, its visualization tool for US patents. First launched a few years ago, the intent behind the tool was to make 40 years of patent filing data available for free to those interested in examining “the dynamics of inventor patenting activity over time.” In spite of being limited to patents (not applications) and with a focus only on the US, it offers some interesting visualizations around locations and citations.
VeriStor Systems has announced that CRN has named VeriStor to its 2017 Managed Service Provider (MSP) 500 list in the Elite 150 category. This annual list recognizes North American solution providers with cutting-edge approaches to delivering managed services. Their offerings help companies navigate the complex and ever-changing landscape of IT, improve operational efficiencies, and maximize their return on IT investments. In today’s fast-paced business environments, MSPs play an important role in helping companies leverage new technologies without straining their budgets or losing focus on their core business. CRN’s MSP 500 list shines a light on the most forward-thinking and innovative of these key organizations.
Amazon Web Services (AWS) broke the Internet again or better “a typo”. On February 28, 2017, an Amazon S3 service disruption in AWS’ oldest region US-EAST-1 shuts down several major websites and services like Slack, Trello, Quora, Business Insider, Coursera and Time Inc. Other users were reporting that they were also unable to control devices which were connected via the Internet of Things since IFTTT was also down. Those kinds of disruptions are becoming more and more business critical for today’s digital economy. To prevent these situations, cloud users should always consider the shared responsibility model in the public cloud. However, there are also ways where Artificial Intelligence (AI) can help. This article describes that an AI-defined Infrastructure respectively an AI-powered IT management system can help to avoid service disruptions of public cloud providers.
Ed was demoralized. He had just heard a speaker who would change his life. He knew he needed to change, and he knew what the end goal was. He just didn't know how to get there. He needed fresh air. He needed endorphins. What better way to do that than go on a 6-hour run through some of the seedier neighborhoods of Vegas to the edge of the desert.
With the complexity of today’s applications, it’s easy to end up in a situation where all of the pieces of your code aren’t ready at the same time. As a developer, you might be waiting for a third-party API to get updated, a partner organization to finish their code, or other teams in your organization to have a component ready to start testing against. This can be a drag on your organization’s entire release schedule, as testing is backed up waiting for all the pieces to be finished.
The United States Patent and Trademark Office (USPTO) recently announced an expansion of PatentsView, its visualization tool for US patents. First launched a few years ago, the intent behind the tool was to make 40 years of patent filing data available for free to those interested in examining “the dynamics of inventor patenting activity over time.” In spite of being limited to patents (not applications) and with a focus only on the US, it offers some interesting visualizations around locations and citations.
Amazon Web Services (AWS) broke the Internet again or better “a typo”. On February 28, 2017, an Amazon S3 service disruption in AWS’ oldest region US-EAST-1 shuts down several major websites and services like Slack, Trello, Quora, Business Insider, Coursera and Time Inc. Other users were reporting that they were also unable to control devices which were connected via the Internet of Things since IFTTT was also down. Those kinds of disruptions are becoming more and more business critical for today’s digital economy. To prevent these situations, cloud users should always consider the shared responsibility model in the public cloud. However, there are also ways where Artificial Intelligence (AI) can help. This article describes that an AI-defined Infrastructure respectively an AI-powered IT management system can help to avoid service disruptions of public cloud providers.
In the age of global cyberattacks, corporate enterprises and government agencies that have some type of cloud-based network solutions should be looking at a strategic design focus that guarantees a very secure intelligent infrastructure unsusceptible to cyberattacks or natural disasters. Hardening an organization’s data center as well as its networks (and clouds) is a critical step to ensuring its business continuity. In today’s corporate business environment, many organizations cannot survive if their core applications are out-of-service for a couple of days.