Discover how the themes of computational storage, persistent memory, and solid state come together in a webcast from the new SNIA Compute, Memory, and Storage Initiative. We’ll explore how expertise in these three areas can help understand storage architectures, common solution areas, and their impacts on storage devices, systems, and software.

Contrary to popular belief, securing “data at rest” does not simply mean encrypting the data prior to storage. While it is true that data encryption plays a major role in securing “data at rest,” there are several other factors that come into play and are as important as encryption. In this webinar, we present the end-to-end process to securing “data at rest,” and discuss all the factors and trade-off that must be considered, and some of the general risks that need to be mitigated.

Watch this encryption webcast: Storage Networking Security: Encryption 101 where security experts will cover:
- A brief history of Encryption
- Cryptography basics
- Definition of terms – Entropy, Cipher, Symmetric & Asymmetric Keys, Certificates and Digital signatures, etc.
- Introduction to Key Management

More and more we are seeing compute and inference move to the edge. This is driven by the growth in capability to not only generate data from sensors, devices and by people operating in the field, but also by the interaction between those devices.
This new source of data and information brings with it unique challenges to the way we store and transmit data as well as the way we need to curate it. In this webcast we will look at:
- New patterns generated by the explosion of the Internet of Things
- How IoT is impacting storage and data strategies
- Security and privacy issues and considerations
- How to think about the lifecycle of our information in this new environment

The SNIA Swordfish specification is currently growing to include full NVMe and NVMe-oF enablement and alignment across DMTF, NVMe, and SNIA for NVMe and NVMe-oF use cases. SNIA members are contributing to specification development and helping to shape the ecosystem. This presentation will provide an overview of the work in progress to map these standards together to ensure NVMe and NVMe-oF environments can be represented entirely in Swordfish and Redfish environments.

In this webcast, we will explore why your storage may be acting strangely now that it’s been subjected to the whims of data scientists. We’ll look at how and why the I/O patterns have changed, where this will lead, and some of the tactics and strategies you can deploy now to prevent impact from this new movement of storage saboteurs!

Join this panel of object, file and block storage experts as they discuss:
- The best way to manage unstructured data
- Are there deceptive costs in a file storage strategy?
- Use cases for object storage

SNIA’s Persistent Memory Hackathon Program enters its second year with 300+ developers up to speed on the latest in programming persistent memory -- and SNIA’s NVDIMM Programming Challenge just announced its first winner of distinction. Join our webcast to learn the latest developments in PM, new resources available to learn more about programming to PM, and a dive into the winning application introduced at the recent Persistent Memory Summit.

QUIC is a new UDP-based transport protocol for the Internet, and specifically, the web. Originally designed and deployed by Google, it already makes up 35% of Google's egress traffic, which corresponds to about 7% of all Internet traffic. The strong interest by many other large Internet players in the ongoing IETF standardization of QUIC is likely to lead to an even greater deployment in the near future. This talk will highlight:
- Unique design aspects of QUIC
- Differences to the conventional HTTP/TLS/TCP web stack
- Early performance numbers
- Potential side effects of a broader deployment of QUIC

Artificial intelligence (AI) and machine learning (ML) have been having quite the impact on most industries in the last couple of years, but what about our own IT industry? In this webcast find out how the rise of machine learning has created a new type of demand on IT operations teams as well as how those same teams can utilize new insights and capabilities driven by machine learning. We will explore:
- The demand on infrastructure
- Storage and data pipelines
- The growing field of IT operations leveraging AI (aka AIOps)
