You know you need the cloud, but you’re hesitant to simply dump everything at Amazon since you know that not all workloads are suitable for cloud. You know that you want the kind of ease of use and scalability that you get with public cloud, but your applications are architected in a way that makes the public cloud a non-starter. You’re looking at private cloud solutions based on hyperconverged infrastructure, but you’re concerned with the limits inherent in those technologies.

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I have had the opportunity to work for and around a good many start-ups during the course of my career. Often the start-up founders would simply define a problem, develop a solution and launch a company. The marketing department would then do their very best to identify the individuals in each target company that experienced the problem and had a budget to fix it. This was always a challenging task, that has become even harder today.

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In his session at @DevOpsSummit at 20th Cloud Expo, Kelly Looney, director of DevOps consulting for Skytap, showed how an incremental approach to introducing containers into complex, distributed applications results in modernization with less risk and more reward. He also shared the story of how Skytap used Docker to get out of the business of managing infrastructure, and into the business of delivering innovation and business value. Attendees learned how up-front planning allows for a clean separation between infrastructure, platform, and service concerns.

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Remember the Y2K bug, the computer coding flaw that was predicted to cause global havoc when the two-digit dates embedded in software rolled over from 1999 to 2000? After organizations around the world spent a year checking and upgrading their systems to deal with the issue, few major problems ended up occurring.
The world is now on the brink of what could be called the Y2K bug of data privacy – the European Union’s General Data Protection Regulation (GDPR), tough rules that require companies to be more transparent about the information they collect on individuals and how it is used.

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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.

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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.

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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.

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“Why didn’t testing catch this” must become “How did this make it to testing?” Traditional quality teams are the crutch and excuse keeping organizations from making the necessary investment in people, process, and technology to accelerate test automation. Just like societies that did not build waterways because the labor to keep carrying the water was so cheap, we have created disincentives to automate.
In her session at @DevOpsSummit at 20th Cloud Expo, Anne Hungate, President of Daring Systems, discussed how to break the cycle of manual testing as de-facto – empowering development and quality to lead with automation. Learn about the changes in reporting, behaviors, and communication necessary to make automation the first choice.

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SYS-CON Events announced today that App2Cloud will exhibit at 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.
App2Cloud is an online Platform, specializing in migrating legacy applications to any Cloud Providers (AWS, Azure, Google Cloud).

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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, discussed 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.

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