The Performance Impact of NVMe and NVMe over Fabrics

Start-up companies interested in using business analytics have a series of choices regarding different hardware, software, and services available in the cloud. The decision process for established companies, though, is more significant. Considering whether to use existing practices or start anew creates multiple decision points in any process. This SNIA webcast will feature views from both start-up and established companies on how to make the analytics decision. Attendees should expect to learn:
• Real-world examples of the analytics decision process
• How to use cloud resources in unique ways to accomplish business and engineering goals
• Starting from the perspective of business requirements and developing technical metrics
• Thoughts on when to start new vs. adapt existing analytics processes

Over the past several years, many in the NVMe over Fabrics (NVMe-oF) ecosystem have used test results demonstrating NVMe-oF’s dramatic reduction in latency as a way to extrapolate the benefit it can provide to application consumers. To date, the focus has been on specialized fabrics like RDMA and Fibre Channel (FC).

Unfortunately, the more important questions have been left as an exercise for the buyer: “How does the transport really impact application performance?” and “How does the transport holistically fit into my environment?”


RDMA based fabrics (e.g., RoCE) provide the lowest possible latency, and FC provides the most reliability, but with the introduction of NVMe/TCP this conversation must also include scale, cost and operations. This webcast will attempt to answer these questions beyond “it depends.”

Gain insights from an industry wide panel of NVMe and fabric technology experts as they discuss the thought process you can use to determine pros and cons of a fabric for your environment, including:
• Use cases driving fabric choices
• NVMe transports and their strengths
• Industry dynamics driving adoption
• Considerations for scale, security, and efficiency

Artificial Intelligence technologies are possibly the most substantive and meaningful change to modern business. The ability to process large amounts of data with varying degrees of structure and form enables large leaps in insight to drive revenue and profit. Likewise, governments and civil society have significant opportunity for improvement of the lives of the populace. However, with the power that AI brings comes the risks of any technology innovation. This interactive session will cover some of the ethical issues that AI can bring. Attendees should expect to learn:
• How making decisions at the speed of AI could be ethically challenging
• Examples of how companies have structures to approach AI policy
• The pitfalls of managing the human side of AI development
• Potential legal implications of using AI to make decisions
• Advice for addressing potential ethics issues before they are unsolvable

After you watch the webcast, check out the Q&A blog https://bit.ly/3vW5WOF

20-year SNIA veteran Mike Walker has created a series of videos titled “SMI-S Quick Start Guides” that provides developers using the SMI-S storage management specification instructions on how to find useful information in a SMI-S server using the python-based PyWBEM open source tool. This video covers SMI-S mockup

20-year SNIA veteran Mike Walker has created a series of videos titled “SMI-S Quick Start Guides” that provides developers using the SMI-S storage management specification instructions on how to find useful information in an SMI-S server using the python-based PyWBEM open source tool. Watch this short trailer for a preview of the content you can expect to see in the series.

20-year SNIA veteran Mike Walker has created a series of videos titled “SMI-S Quick Start Guides” that provides developers using the SMI-S storage management specification instructions on how to find useful information in a SMI-S server using the python-based PyWBEM open source tool. This video covers SMI-S mockup

20-year SNIA veteran Mike Walker has created a series of videos titled “SMI-S Quick Start Guides” that provides developers using the SMI-S storage management specification instructions on how to find useful information in an SMI-S server using the python-based PyWBEM open source tool. Watch this short trailer for a preview of the content you can expect to see in the series.

So much of what we discuss within SNIA is the latest emerging technologies in storage. While it’s good to know about what technology is coming, it’s also important to understand the technologies that should be sunsetted.

In this webcast, you’ll learn about storage technologies and practices in your data center that are ready for refresh or possibly retirement. Find out why some long-standing technologies and practices should be re-evaluated. We’ll discuss:

•Obsolete hardware, protocols, interfaces and other aspects of storage
•Why certain technologies are no longer in general use
•Technologies on their way out and why
•Drivers for change
•Justifications for obsoleting proven technologies
•Trade-offs risks: new faster/better vs. proven/working tech

After you watch the webcast, check out the Q&A blog at https://bit.ly/3aGyeUK

The COVID-19 Pandemic has amplified cybersecurity concerns particularly related to the cloud. Threat actors have recognized a unique opportunity to exploit pandemic-related vulnerabilities through social engineering attacks, business email compromise, work from home or other remote weak points. This results in increased risk and occurrence of ransomware attacks and data breaches that can disrupt or totally compromise organizations’ ability to conduct business. These security incidents can also subject victims to liability for violations of privacy and data breach notification laws. Join this webcast as SNIA experts will discuss:
• Changing threat landscape due to COVID
• Recent attacker exploits
• Common security failures and their consequences
• Data Protection (Mounir)
o Strategies to combat malware
o Minimizing ransomware risks
• How emerging technologies (5G, IoT, AI, etc.) expand the threat landscape

After you watch the webcast, check out the Q&A blog at https://bit.ly/3qp2j0B

Digital storage is a critical technology for professional Media and Entertainment (M&E). With the Covid-19 pandemic much M&E work went remote, enabled by cloud based services and private and public cloud storage. NVMe SSDs and emerging memories are assuming increased use in high resolution, high frame rate, high dynamic range video content workflows. Between 2019 and 2025, about a 3X increase is expected in the required storage capacity in the industry and a 3.4X increase in storage capacity shipped per year. Cloud storage capacity for the M&E industry will increase 13X between 2019 and 2025.

This webinar looks at the trends driving demand for digital storage in all parts of the M&E industry, with data from the 2020 Digital Storage in Media and Entertainment report from Coughlin Associates presented by Tom Coughlin, who also serves as the volunteer Education Chair for the SNIA Compute, Memory, and Storage Initiative.

The Cloud Data Management Interface (CDMI™) International Standard is intended for application developers who are implementing cloud storage systems, and who are developing applications to manage and consume cloud storage. It documents how to access cloud storage namespaces and how to manage the data stored in these namespaces. In this webcast we’ll provide an overview of the CDMI standard and cover CDMI 2.0:

•Support for encrypted objects
•Delegated access control
•General clarifications
•Errata contributed by vendors implementing the CDMI standard

After you watch the presentation, check out the Q&A blog: https://bit.ly/3a8ohPX

There is a new wave of cognitive services based on video and image analytics, leveraging the latest in machine learning and deep learning. In this webcast, we will look at some of the benefits and factors driving this adoption, as well as explore compelling projects and required components for a successful video-based cognitive service. This includes some great work in the open source community to provide methods and frameworks, some standards that are being worked on to unify the ecosystem and allow interoperability with models and architectures. Finally, we’ll cover the data required to train such models, the data source and how it needs to be treated.

However, there are challenges in how we do this. Many archives were analog and tape based which doesn’t stand up well to mass ingestion or the back and forth of training algorithms. How can we start to define new architectures and leverage the right medium to make our archives accessible whilst still focusing on performance at the point of capture?

We will discuss:

•New and interesting use cases driving adoption of video analytics as a cognitive service
•Work in the open source arena on new frameworks and standards
•Modernizing archives to enable training and refinement at will
•Security and governance where personal identifiable information and privacy become a concern
•Plugging into the rest of the ecosystem to build rich, video centric experiences for operations staff and consumers

After you watch the video, check-out the Q&A blog: https://sniacloud.com/video-analytics-qa/

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.

Organizations inevitably store multiple copies of the same data. Users and applications store the same files over and over, intentionally or inadvertently. Developers, testers and analysts keep many similar copies of the same data. And backup programs copy the same or similar files daily, often to multiple locations or storage devices. It’s not unusual to end up with some data replicated thousands of times.

So how do we stop the duplication madness? Join this webcast where we’ll discuss how to reduce the number of copies of data that get stored, mirrored, or backed up as we discuss:

•Should I eliminate duplicates at the desktop, server, storage or backup device?
•Dedupe technology
•Local vs. global deduplication
•Avoiding or reducing data copies (non-dupe)
•Block-level vs. file- or object-level deduplication
•In-line vs. post-process deduplication
•More efficient backup techniques

Register today (but only once please) for this webcast so you can start saving space and end the extra data replication.