Data Protection and OpenStack Mitaka

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.

Whether traveling by car, plane or train, it is critical to get from here to there safely and securely. Just like you, your data must be safe and sound as it makes its journey across an internal network or to an external cloud storage device. It's well known that data is often considered less secure while in motion, and attackers are finding increasingly innovative ways to compromise data in flight. And the risks associated with data in transit are dependent on the security measures that are in place. So how do you adequately protect data in transit?

In this webcast, we'll cover what the threats are to your data as it's transmitted, how attackers can interfere with data along its journey, and methods of putting effective protection measures in place for data in transit. Included in this webinar will be:

•What you should expect to happen to secure data in transit; what are the trade-offs
•What transport layer security protocols (SSL, TLS, etc.) are best for protecting data in transit?
•Different encryption technologies and their role in protecting data in transit
•Which criteria should be used?
•How do you know which encryption to use?
•What’s applicable to different workloads?
•Best practices for data protection in transit

Join us on a journey to provide safe passage for your data by registering today!

After you watch the webcast, check out the Q&A blog: https://bit.ly/2VXPD3e

The broad adoption of 5G, Internet of things (IoT) and edge computing will reshape the nature and role of enterprise and cloud storage over the next several years. What building blocks, capabilities and integration methods are needed to make this happen?

Join this webcast for a discussion on:

●With 5G, IoT and edge computing - how much data are we talking about?
●What will be the first applications leading to collaborative data-intelligence streaming?
●How can low latency microservices and AI quickly extract insights from large amounts of data?
●What are the emerging requirements for scalable stream storage - from peta to zeta?
●How are yesterday’s object-based batch analytic processing (Hadoop) and today’s streaming messaging capabilities (Apache Kafka and RabbitMQ) work together?
●What are the best approaches for getting data from the Edge to the Cloud?

After you watch the webcast, check out the Q&A blog: https://bit.ly/37pCC7X

Electronic payments, once the purview of a few companies, have expanded to include a variety of financial and technology companies. Internet of Payment (IoP) enables payment processing over many kinds of IoT devices and has also led to the emergence of the micro-transaction. The growth of independent payment services offering e-commerce solutions, such as Square, and the entry of new ways to pay, such as Apple Pay mean that a variety of devices and technologies also have come into wide use.

Along with the rise and dispersal of the payment eco-system, more of our assets that we exchange for payment are becoming digitized as well. When digital ownership is equivalent to physical ownership, security and scrutiny of those digital platforms and methods takes a leap forward in significance.

Assets and funds are now widely distributed across multiple organizations. Physical asset ownership is even being shared between many stakeholders resulting in more ownership opportunities for less investment but in a distributed way.

In this talk we look at the impact of all of these new principles across multiple use cases and how it impacts not only on the consumers driving this behavior but on the underlying infrastructure that supports and enables it. We will look particularly at:

•The cloud network, applications and storage implications of Internet of Payments
•Use of emerging blockchain capabilities for payment histories and smart contracts
•Identity and security challenges at the device in addition to point of payment
•Considerations on architecting IoP solutions for future scale

After you watch the webcast, check out the Q&A blog https://bit.ly/2JZNRvO

The pandemic has taught data professionals one essential thing. Data is like water when it escapes; it reaches every aspect of the community it inhabits. This fact becomes apparent when the general public has access to statistics, assessments, analysis and even medical journals related to the pandemic, at a scale never seen before.
Insight understands information in context to the degree that you can gain an understanding beyond just the facts presented and instead make reasonable predictions and suppositions about new instances of that data.
Having access to data does not automatically grant the reader knowledge of how to interpret that data or the ability to derive insight. It is even challenging to judge the accuracy or value in that data.
The skill required is known as data literacy, and in this presentation, we will look at how access to one data source will inevitably drive the need to access more. We will examine:
•How data literacy is defined by the ability to interpret and apply context
•What supporting information is needed
•How a data scientist approaches new data sources and the questions they ask of it
•How to seek out supporting or challenging data to validate its accuracy and value for providing insight
•How this impacts underlying information systems and how data platforms need to adjust to this purpose+ data eco-system where data sources are no longer single use

After you watch the webcast, check out the Q&A blog: https://bit.ly/30AwN53

NVMe over Fabrics technology is gaining momentum and getting more tractions in data centers, but there are three kinds of Ethernet based NVMe over Fabrics transports: iWARP, RoCEv2 and TCP. How do we optimize NVMe over Fabrics performance with different Ethernet transports?

Setting aside the consideration of network infrastructure, scalability, security requirement and complete solution stack, this webcast will explore the performance of different Ethernet-based transport for NVMe over Fabrics at micro benchmark level. We will show three key performance indicators: IOPs, Throughput, and Latency with different workloads including: Sequential Read/Write, Random Read/Write, 70%Read/30%Write, with different data size. We will compare the result of three Ethernet based transports: iWARP, RoCEv2 and TCP.

Further, we will dig a little bit deeper to talk about the variables that will impact the performance of different Ethernet transports. There are a lot of variables that you can tune but these variables will impact the performance of each transport to different extents. We will cover the variables:
1.How many CPU cores are needed (I’m willing to give)?
2.Optane SSD or 3D NAND SSD?
3.How deep should the Q-Depth be?
4.Why do I need to care about MTU?

This discussion won’t tell you which transport is the best. Instead we unfold the performance of each transport and tell you what it would take for each transport to get the best performance, so that you can make the best choice for your transport for NVMe over Fabrics solutions.

After you watch the presentation, check out the Q&A blog: https://bit.ly/36A44AU

In this webcast, SNIA experts will discuss what composable infrastructure is, what prompted its development, solutions, enabling technologies, standards/products and how computational storage fits in.