Webcasts

Security of Data on NVMe over Fabrics, the Armored Truck Way
Wednesday, May 12, 2021
10:00 am PT / 1:00 pm ET

With ever increasing threat vectors both inside and outside the data center, a compromised customer dataset can quickly result in a torrent of lost business data, eroded trust, significant penalties, and potential lawsuits. Vulnerabilities exist at every point when scaling out NVMe, which require data to be secured every time it leaves a server or the storage media, not only when leaving the data center. NVMe over Fabrics is poised to be the one of the most dominant transports of the future and securing and validating the vast amounts of data that would traverse this fabric is not just prudent, but paramount.

Join the webcast to hear industry experts discuss current and future strategies to secure and protect your mission critical data. You will learn:

  • Industry trends and regulations around data security
  • Potential threats and vulnerabilities
  • Existing security mechanisms and best practices
  • How to secure NVMe in flight and at rest
  • Ecosystem and market dynamics
  • Upcoming standards

Data Movement and Computational Storage - a Panel Discussion
Tuesday, May 18, 2021
10:00 am PT / 1:00 pm ET

In modern analytics deployments, latency is the fatal flaw that limits the efficacy of the overall system. Solutions move at the speed of decision, and microseconds could mean the difference between success and failure against competitive offerings. Artificial Intelligence, Machine Learning, and In-Memory Analytics solutions have significantly reduced latency, but the sheer volume of data and its potential broad distribution across the globe prevents a single analytics node from efficiently harvesting and processing data.This panel discussion will feature industry experts discussing the different approaches to distributed analytics in the network and storage nodes. How does the storage providers of HDDs and SSD view the data creation and movement between the edge compute and the cloud? And how can computational storage be a solution to reduce data movement?