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Automating the Creation and Use of Virtual Testing Environments

Skytap

Balancing needed testing against the spiraling costs of the required infrastructure and challenges with the deployment of your code can be a real obstacle to even the best development and quality management teams. But with a little strategy and the right tools, it’s fairly easy to overcome these obstacles to delivering better software faster.
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Spotlight

VMware's Photon Platform and Cloud Native Apps

Kit Colbert, who heads up VMware's cloud native apps, group explains Photon Platform and how it relates to vSphere integrated containers. Interviewed by Barton George, office of the CTO at Dell. Recorded at DockerCon, Seattle Washington, June 20-21.

OTHER ON-DEMAND WEBINARS

Using NetApp Trident with Cloud Volumes ONTAP for Provisioning Kubernetes Persistent Volumes

NetApp

From running multiple microservices across a cluster of machines to load balancing, service discovery, and more, Kubernetes is now the choice for container orchestration. But managing the cloud resources, specifically the persistent volumes that Kubernetes requires for storage, is up to the user.Watch the On-Demand webinar that will show you the full benefits of provisioning persistent volumes for Kubernetes using NetApp’s Trident and Cloud Volumes ONTAP.
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Big Insights from Your Big Data using Data Virtualization

Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems.
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Building a Logical Data Lake with Data Virtualization

Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. Using Data Virtualization allows organizations to create a logical - or virtual data lake - without having to physically copy and centralize all of their data.
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Market Snapshot Report Virtual & Cloud-based Labs

Virtualization Vmware storage virtualization

Voke analyst Theresa Lanowitz and her team recently conducted an independent survey of over 500 participants from both technology and non-technology companies of varying sizes to explore their use of virtual and cloud-based labs and the results they experience.
Watch Now

Using NetApp Trident with Cloud Volumes ONTAP for Provisioning Kubernetes Persistent Volumes

NetApp

From running multiple microservices across a cluster of machines to load balancing, service discovery, and more, Kubernetes is now the choice for container orchestration. But managing the cloud resources, specifically the persistent volumes that Kubernetes requires for storage, is up to the user.Watch the On-Demand webinar that will show you the full benefits of provisioning persistent volumes for Kubernetes using NetApp’s Trident and Cloud Volumes ONTAP.
Watch Now

Big Insights from Your Big Data using Data Virtualization

Data lakes have grown to be a popular architecture that enables modern analytics and data science. However, complete replication of all corporate data into giant data lakes is unfeasible. Data volumes are too high, and replication to multiple systems creates brittle point-to-point connections. Out-of-synch data and uncontrolled replication leads to “data swamp” scenarios. On top of the physical data lake, a logical approach is more feasible: a logical layer that connects different systems.
Watch Now

Building a Logical Data Lake with Data Virtualization

Historically data lakes have been created as centralized physical data storage platform for data scientists to analyze data. But lately the explosion of big data, data privacy rules, departmental restrictions among many other things have made the centralized data repository approach less feasible. Using Data Virtualization allows organizations to create a logical - or virtual data lake - without having to physically copy and centralize all of their data.
Watch Now

Market Snapshot Report Virtual & Cloud-based Labs

Virtualization Vmware storage virtualization

Voke analyst Theresa Lanowitz and her team recently conducted an independent survey of over 500 participants from both technology and non-technology companies of varying sizes to explore their use of virtual and cloud-based labs and the results they experience.
Watch Now
More On-Demand Webinars

Spotlight

VMware's Photon Platform and Cloud Native Apps

Kit Colbert, who heads up VMware's cloud native apps, group explains Photon Platform and how it relates to vSphere integrated containers. Interviewed by Barton George, office of the CTO at Dell. Recorded at DockerCon, Seattle Washington, June 20-21.

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