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TechViews: Big Data is clear for takeoff, YouTube is married to the Cloud and more from this week

By Jason Meserve Featured Article DevOps and putting the customer first go hand-in-hand In the ‘customer first’ world, all businesses are software businesses. That means,…

 

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More Stories By Denise Dubie

Denise Dubie (@DDubie) is New Media Principal in CA Technologies Thought Leadership Group. She is charged with creating content relevant to today’s most pressing technology and business trends for industry leaders and IT professionals.

Prior to joining the company in 2010, Dubie spent 12 years of her career at Network World, an IDG company, covering the IT management industry and all of its players (including CA Technologies and its competitors) as well as high-tech careers, technology trends and vendors such as Cisco, HP, IBM and Microsoft. As Senior Editor at Network World, Dubie also authored the publication's twice-weekly Network and Systems Management Alert newsletter and contributed to the Web site's Microsoft Subnet blog. Before IDG, she served as Assistant Managing Editor at Application Development Trends, managing writers and the monthly publication's production process.

Dubie started her professional journalism career as a Staff Writer/Reporter at The Transcript, a small daily paper in Western Massachusetts.

CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
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.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.