Boris Weissman, Founder at Datrium, reviews their first application of Data Cloud spanning private cloud data centers with Elastic Replication. This is designed to scale performance and provider resiliency. Boris also discusses the future directions of Data Cloud, including public cloud support.
Datrium Converging Primary Workloads and Cloud Data Management with Sazzala Reddy
Sazzala Reddy, Founder at Datrium, reviews the company’s approach to converging primary workloads with cloud data management via Data Cloud. He further reviews how scale and granularity have both played roles in the policy management and catalog design of fundamental data cloud components, including Protection Groups, Snapshots, and its related catalog, Snapstore.
Datrium End-to-End Encryption with Data Reduction with Windsor Hsu
Windsor Hsu, Senior Director of Engineering, reviews how Datrium is able to offer end-to-end encryption, both at-travel and at-rest, without losing an data reduction services like deduplication. He also reviews how Datrium’s DVX solution is able to do this with minimal performance penalty.
Datrium DVX Demonstration with Mike McLaughlin
Mike McLaughlin, Director of Technical Marketing with Datrium, introduces the delegates to their VM-centric management, monitoring, and analytics that support DVX Rackscale systems. This includes a demonstration of the systems “insane” mode.
Datrium DVX Rackscale Systems with Hugo Patterson
Hugo Patterson, CTO and Founder at Datrium, shares the vision and technology behind DVX Rackscale systems, touching on open convergence and their “matrix” architecture. This splits elastic performance from durable capacity in discreet nodes. This allows for mixing and matching of existing hardware with Datrium DVX nodes.
Introduction to Datrium with Brian Biles
Brian Biles, CEO and Founder of Datrium, introduces the company. He discusses the foundation of their solution, to take convergence in two different directions. One is convergence of compute and capacity in a very different direction from traditional HCI to support low latency and critical applications with greater ease. The second direction is the convergence […]
Demonstrating ClearSky Data Protection with Darren Miller
Darren Miller, Engineer with ClearSky Data, gives a demonstration of the ClearSky Data platform in action. This clearly outlines available storage volumes, shows protection schedules, and customize schedules by preference.
ClearSky Data 2017 Update with Lazarus Vekiarides
Lazarus Vekiarides, CTO and Co-Founder at ClearSky Data, gives an overview of the company, and updates the delegates about recent updates and announcements. ClearSky Data delivers on-demand primary storage, and has recently expanded into disaster recovery. They use points-of-presence in metro areas around the United States to guarantee extremely low latency storage using a combination […]
Turbonomic with Public Cloud, Hybrid Cloud, Containers with Mor Cohen-Tal
Mor Cohen-Tal, Product Manager at Turbonomic, reviews how Turbonomics application assurance platform works across the cloud spectrum. This includes details into how the solution is deployed, and what specifically it can monitor and remediate. She also shows how Turbonomic can be used to provide application assurance in containerized environments.
Turbonomic Performance and the On-Premises Story with Mor Cohen-Tal
Mor Cohen-Tal, Product Manager at Turbonomic, walks through the current state of the Turbonomic product. This has been recently updated to a new UI. This gives a better view of their central framing metaphor of the platform, a virtual supply chain. This shows every item that effects application performance, and allows you to quickly get […]
Introducing the Turbonomic Autonomic Platform with Eric Wright
Eric Wright, Technology Evangelist for Turbonomic, introduces the Turbonomic Autonomic Platform to the delegates. The platform is designed to give application assurance in real time, and features self management, including support for hybrid clouds. Turbonomic centers their platform around maintaining a desired state, a proactive approach. This circumvents the typical IT priority of trying to […]
DevOps Through Desired State with Andrew Sullivan of NetApp
Andrew Sullivan, Technical Marketing Engineer at NetApp, goes over some of the abilities of Trident, which can manage store within Kubernetes. He then expands into desired state configuration, the ability to encapsulate what an application looks. Containers simplify being able to define and reproduce an application across infrastructures via automation tools like Puppet, Chef, and […]
Kubernetes Persistent Data Demo with Kapil Arora of NetApp
Kapil Arora, Cloud Platform Architect at NetApp, demonstrates on a four node cluster defining storage classes in Kubernetes with MySQL. This creates disks that are dynamically created, opaque from a user perspective. These storage classes can have integrated QoS defined with quotas per individual namespaces.
Managing Persistent Data in Kubernetes with Kapil Arora of NetApp
Kapil Arora, Cloud Platform Architect at NetApp, reviews the company’s work in managing persistent data in Kubernetes. This data can come from an object store or a database. He runs through how Kubernetes handles persistent data by default and how this can be extended with volume plugins.
DevOps and Open Source at NetApp with Andrew Sullivan
Andrew Sullivan, Technical Marketing Engineer at NetApp, introduces the delegates to the company’s efforts in DevOps and in the open source community. NetApp has had an OpenStack team since 2011, but over the last 18 months have expanded that into an open ecosystem team. Puppet, Chef, OpenStack, Jenkins, containers, Kubernetes all are managed in that […]
