The Impact and Implications of Internet of Payments

Jim Fister
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. This is the topic that the SNIA Cloud Storage Technologies Initiative is going to examine at our live webcast on October 14, 2020 “Technology Implications of Internet of Payments.” 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 webcast we will look at the impact of all of these new principles across multiple use cases Read More

Achieving Data Literacy

Jim Fister
We’re all spending our days living in the pandemic and understanding the cultural changes on a personal level.  That keening wail you hear is not some outside siren, it’s you staring out the window at the world that used to be.  But with all that, have you thought about the insight that you could be applying to your business? If the pandemic has taught data professionals one essential thing, it’s this:  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. But having access to data does not automatically grant the reader knowledge of how to interpret that data or the ability to derive insight. In fact, it can be quite challenging to judge the accuracy or value in that data. Read More

Understanding the NVMe Key-Value Standard

John Kim
The storage industry has many applications that rely on storing data as objects. In fact, it’s the most popular way that unstructured data—for example photos, videos, and archived messages–is accessed. At the drive level, however, the devil is in the details. Normally, storage devices like drives or storage systems store information as blocks, not objects. This means that there is some translation that goes on between the data as it is ingested or consumed (i.e., objects) and the data that is stored (i.e., blocks). Naturally, storing objects from applications as objects on storage would be more efficient and means that there are performance boosts, and simplicity means that there are fewer things that can go wrong. Moving towards storing key value pairs that get away from the traditional block storage paradigm makes it easier and simpler to access objects. But nobody wants a marketplace where each storage vendor has their own key value API. Read More

Compression Puts the Squeeze on Storage

Ilker Cebeli
Everyone knows data volumes are exploding faster than IT budgets. And customers are increasingly moving to flash storage, which is faster and easier to use than hard drives, but still more expensive. To cope with this conundrum and squeeze more efficiency from storage, storage vendors and customers can turn to data reduction techniques such as compression, deduplication, thin provisioning and snapshots. On September 2, 2020, the SNIA Networking Storage Forum will specifically focus on data compression in our live webcast, “Compression: Putting the Squeeze on Storage.” Compression can be done at different times, at different stages in the storage process, and using different techniques. We’ll discuss: Read More

Optimizing NVMe over Fabrics Performance with Different Ethernet Transports: Host Factors

Tom Friend
NVMe over Fabrics technology is gaining momentum and getting more traction 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? That will be the discussion topic at our SNIA Networking Storage Forum Webcast, “Optimizing NVMe over Fabrics Performance with Different Ethernet Transports: Host Factors” on September 16, 2020. Setting aside the considerations of network infrastructure, scalability, security requirements and complete solution stack, this webcast will explore the performance of different Ethernet-based transports for NVMe over Fabrics at the detailed benchmark level. We will show three key performance indicators: IOPs, Throughput, and Latency with different workloads including: Read More

Take 10 – Watch a Computational Storage Trilogy

Marty Foltyn

We’re all busy these days, and the thought of scheduling even more content to watch can be overwhelming.  Great technical content – especially from the SNIA Educational Library – delivers what you need to know, but often it needs to be consumed in long chunks. Perhaps it’s time to shorten the content so you have more freedom to watch.

With the tremendous interest in computational storage, SNIA is on the forefront of standards development – and education.  The SNIA Computational Storage Special Interest Group (CS SIG) has just produced a video trilogy – informative, packed with detail, and consumable in under 10 minutes!

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Data Reduction: Don’t Be Too Proud to Ask

John Kim
It’s back! Our SNIA Networking Storage Forum (NSF) webcast series “Everything You Wanted to Know About Storage but Were Too Proud to Ask” will return on August 18, 2020. After a little hiatus, we are going to tackle the topic of data reduction. Everyone knows data volumes are growing rapidly (25-35% per year according to many analysts), far faster than IT budgets, which are constrained to flat or minimal annual growth rates. One of the drivers of such rapid data growth is storing multiple copies of the same data. Developers copy data for testing and analysis. Users email and store multiple copies of the same files. Administrators typically back up the same data over and over, often with minimal to no changes. To avoid a budget crisis and paying more than once to store the same data, storage vendors and customers can use data reduction techniques such as deduplication, compression, thin provisioning, clones, and snapshots. On August 18th, our live webcast “Everything You Wanted to Know about Storage but Were Too Proud to Ask – Part Onyx” will focus on the fundamentals of data reduction, which can be performed in different places and at different stages of the data lifecycle. Like most technologies, there are related means to do this, but with enough differences to cause confusion. For that reason, we’re going to be looking at: Read More

Think your Backup is Your Archive? Think Again!

Mounir Elmously Leave a comment

The challenges of archiving structured and unstructured data

Traditionally, organizations had two electronic storage technologies: disk and tape. Whilst disk became the primary storage media, tape offered a cost-effective media to store infrequently accessed contents.

This led organizations to consider tape as not just a backup media but as the organization’s archive which then resulted in using monthly full system backups over extended durations to support archiving requirements. 

Over time, legislative and regulatory bodies began to accept extended time delays for inquiries and investigations caused by tape restore limitations.

Since the beginning of this century, the following trends have impacted the IT industry:

  • Single disk drive capacity has grown exponentially to multi-TB delivering cost effective performance levels.
  • The exponential growth of unstructured data due to the introduction of social media networks, Internet of Things, etc. have exceeded all planned growth.
  • The introduction of cloud storage (storage as a service) that offer an easy way to acquire storage services with incremental investment that fits any organization’s financial planning at virtually infinite scalability.
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A Q&A on Protecting Data-at-Rest

Steve Vanderlinden
One of the most important aspects of security is how to protect the data that is just “sitting there” called data-at-rest. There are many requirements for securing data-at-rest and they were discussed in detail at our SNIA Networking Storage Forum (NSF) webcast Storage Networking Security: Protecting Data-at-Rest. If you missed the live event, you can watch it on-demand and access the presentation slides here. As we promised during the webcast, here are our experts’ answers to the questions from this presentation: Q. If data is encrypted at rest, is it still vulnerable to ransomware attacks? A. Yes, encrypted data is still vulnerable to ransomware attacks as the attack would simply re-encrypt the encrypted data with a key known only to the attacker. Q. The data at rest is best implemented at the storage device. The Media Encryption Key (MEK) is located in the devices per the Trusted Computing Group (TCG) spec. NIST requires the MEK to be sanitized before decommissioning the devices. But devices do fail, because of a 3-5 year life span. Would it be better to manage the MEK in the Key Management System (KMS) or Hardware Security Module (HSM) in cloud/enterprise storage? Read More

Standards Watch: Blockchain Storage

Olga Buchonina Leave a comment

Is there a standard for Blockchain today? Not really. What we are attempting to do is to build one.

Since 2008, when Satoshi Nakamoto’s White Paper was published and Bitcoin emerged, we have been learning about a new solution using a decentralized ledger and one of its applications: Blockchain.

Wikipedia defines Blockchain as follows:  “A blockchain, originally block chain, is a growing list of records, called blocks, that are linked using cryptography. Each block contains a cryptographic hash of the previous block, a timestamp, and transaction data (generally represented as a Merkle tree).”

There are certain drawbacks which are significant in today’s applications for Blockchain solutions:

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