“All our customers are looking at the cloud ecosystem as an important part of their overall product strategy. Some see it evolve as a multi-cloud / hybrid cloud strategy, while others are embracing all forms of cloud offerings like PaaS, IaaS and SaaS in their solutions,” noted Suhas Joshi, Vice President – Technology, at Harbinger Group, in this exclusive Q&A with Cloud Expo Conference Chair Roger Strukhoff.

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Clearly the way forward is to move to cloud be it bare metal, VMs or containers. One aspect of the current public clouds that is slowing this cloud migration is cloud lock-in. Every cloud vendor is trying to make it very difficult to move out once a customer has chosen their cloud.
In his session at 17th Cloud Expo, Naveen Nimmu, CEO of Clouber, Inc., will advocate that making the inter-cloud migration as simple as changing airlines would help the entire industry to quickly adopt the cloud without worrying about any lock-in fears. In fact by having standard APIs for IaaS would help PaaS explode much faster as there is no need to support plethora of clouds by every PaaS vendor.

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The Internet of Things (IoT) is growing rapidly by extending current technologies, products and networks. By 2020, Cisco estimates there will be 50 billion connected devices. Gartner has forecast revenues of over $300 billion, just to IoT suppliers. Now is the time to figure out how you’ll make money – not just create innovative products.
With hundreds of new products and companies jumping into the IoT fray every month, there’s no shortage of innovation. Despite this, McKinsey/VisionMobile data shows «less than 10 percent of IoT developers are making enough to support a reasonably sized team.”

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Containers are revolutionizing the way we deploy and maintain our infrastructures, but monitoring and troubleshooting in a containerized environment can still be painful and impractical. Understanding even basic resource usage is difficult – let alone tracking network connections or malicious activity.

In his session at DevOps Summit, Gianluca Borello, Sr. Software Engineer at Sysdig, will cover the current state of the art for container monitoring and visibility, including pros / cons and live demonstrations of each method. Special emphasis will be put on sysdig, an open source troubleshooting tool. Sysdig offers unprecedented container visibility without the need to break the «sanctity» of the container.

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“Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications and services) that can be rapidly provisioned and released with minimal management.”
While this definition is broadly accepted and has, in fact, been my adopted standard for years, it only describes technical aspects of cloud computing.
The amalgamation of technologies used to deliver cloud services is not even half the story. Above all else, the successful employment requires a tight linkage to the economic and business models of the enterprise.

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With containerization using Docker, the orchestration of containers using Kubernetes, the self-service model for provisioning your projects and applications and the workflows we built in OpenShift is the best in class Platform as a Service that enables introducing DevOps into your organization with ease.
In his session at DevOps Summit, Veer Muchandi, PaaS evangelist with RedHat, will provide a deep dive overview of OpenShift v3 and demonstrate how it helps with DevOps.

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IT data is typically silo’d by the various tools in place. Unifying all the log, metric and event data in one analytics platform stops finger pointing and provides the end-to-end correlation. Logs, metrics and custom event data can be joined to tell the holistic story of your software and operations. For example, users can correlate code deploys to system performance to application error codes.

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The last decade was about virtual machines, but the next one is about containers. Containers enable a service to run on any host at any time. Traditional tools are starting to show cracks because they were not designed for this level of application portability. Now is the time to look at new ways to deploy and manage applications at scale.
In his session at @DevOpsSummit, Brian “Redbeard” Harrington, a principal architect at CoreOS, will examine how CoreOS helps teams run in production. Attendees will understand how different components work together to solve the problems to manage applications at scale.

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Overgrown applications have given way to modular applications, driven by the need to break larger problems into smaller problems. Similarly large monolithic development processes have been forced to be broken into smaller agile development cycles. Looking at trends in software development, microservices architectures meet the same demands.

Additional benefits of microservices architectures are compartmentalization and a limited impact of service failure versus a complete software malfunction. The problem is there are a lot of moving parts in these designs; this makes assuring performance complex especially if the services are geographically distributed or provided by multiple third parties.

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There are so many tools and techniques for data analytics that even for a data scientist the choices, possible systems, and even the types of data can be daunting.
In his session at @ThingsExpo, Chris Harrold, Global CTO for Big Data Solutions for EMC Corporation, will show how to perform a simple, but meaningful analysis of social sentiment data using freely available tools that take only minutes to download and install. Participants will get the download information, scripts, and complete end-to-end walkthrough of the analysis from start to finish. Participants will also be given the practical knowledge to take their analysis to the next level and to have a conversation with their lines of business and management to show how easy it can be to add a social analytics package to their overall data analytics strategies.

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