Virtualization at COLLABORATE 16

    Virtualization and the creation of virtual environments is becoming more and more necessary within the technology space. As the demand for virtual spaces increases and the technology evolves it becomes imparative to keep up with changes and trends. Sessions that address virtualization will be covered in a variety of tracks, including Cloud Computing and Database Management. 

    Wondering What Virtualization Content is at COLLABORATE 16? Here's a Quick Look:

    Highlighted Conference Sessions

    Monster VM's (Database Virtualization) Doing IT Right

    Michael Corey, NTIRETY

    Databases by their very nature are Monster VM’s. If Monster VM’s are not virtualized properly they will never perform well and can negatively performance of other VM’s  on the hosts. In this presentation we will teach you how to properly virtualize Monster VM/Databases. We will discuss why you virtualize a database, installation issues,  how to Architect for performance, the storage layer, the processor, Memory considerations, the network layer. Topics include NUMA, Memory reservations, how to avoid common mistakes. Lesson learned here help you optimize any workload you are virtualizing.

    Accelerating DevOps Using Data Virtualization 

    Tim Gorman, Delphix

    DevOps is the collaboration between application development and IT operations. Where formerly each was walled off from the other into silos that only communicated through change requests, today's demands on IT require that everyone operate in close cooperation, and that all tasks from provisioning to coding to testing to transition into production be automated, and that new features and maintenance fixes are continuously delivered.

    The biggest constraint preventing this way of doing things is data. Databases and application stacks have grown enormous. Provisioning a full environment for each developer or tester on each task of each project seems unrealistic when each full environment might be dozens or hundreds of terabytes of storage. And so developers and testers are limited to working in a small handful of shared environments that are refreshed only every few months.

    Data virtualization is a solution for that data constraint. Using data virtualization, it is possible to provide each developer and tester with a complete private read-write image of the full application stack and database, for each task and project, even if the production environment is hundreds of terabytes. Combined with server virtualization, data virtualization allows developers and testers to work concurrently on different tasks with all the resources they need, and the ability to version entire environment as well as their code changes.

    Agile development methods, using DevOps techniques for continuous delivery of bug-free software, require data virtualization as a tool, as much as they require other tools such as Chef, Puppet, VMware, VirtualBox, or Rally.

    This presentation will describe the data constraint and its impacts on IT, and then it will explain the solution, including the details of how data virtualization works. The attendee will probably recognize the impacts of the data constraint in their own work.

     

     


     

       

     

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