SNIA on Cloud Storage

A Q&A on Big Data in the Cloud

December 8, 2021December 8, 2021 Chip Maurer Leave a comment

The title of our recent live SNIA Cloud Storage Technologies webcast, “Cloud Storage and Big Data, A Marriage Made in the Clouds” might lead you to believe we were producing a new reality show, but of course, that was not the case. This webcast with SNIA experts, Chip Maurer, Vincent Hsu and Andy Longworth examined modernization challenges related to Big Data and key considerations for storing Big Data as workloads evolve. Our audience asked great questions during the live event. As promised, here are our experts’ answers.

Q: Is there much movement with Open Source Object Storage solutions, such as OpenStack suite – Swift, etc?

A. Yes, there is no shortage of Open Source storage solutions. The decision depends upon your organization’s expertise, reliability, cost, application availability and location, and your overall storage strategy.

Q. What drives organizations to modernize?

Why Use Multiple Clouds?

November 22, 2021November 22, 2021 Alex McDonald Leave a comment

As storing data in the cloud has become ubiquitous and mature, many organizations have adopted a multi-cloud strategy. Eliminating dependence on a single cloud platform is quite a compelling case with benefits of increased reliability, availability, performance, and the avoidance of vendor lock-in and/or specific vendor vulnerabilities to name a few. In short, spanning multiple clouds ensures a business does not have all its eggs (i.e. data) in one basket.

But multi-cloud environments are not without challenges. Taking advantage of the benefits without increasing complexity requires a strategy that ensures applications are not tightly coupled to cloud-specific technologies. Supporting a storage abstraction layer that insulates the application from the underlying cloud provider’s interfaces allows an application to be easily used with multiple clouds. It allows storage features specific to a cloud to be exposed in a standardized manner and enables data to be transparently accessed and migrated as needed in order to take advantage of cloud-specific features without the application being aware of the underlying mechanics, thus reducing or eliminating the limits and vulnerabilities of any one cloud.

Genomics Compute, Storage & Data Management Q&A

September 13, 2021September 13, 2021 Alex McDonald Leave a comment

Everyone knows data is growing at exponential rates. In fact, the numbers can be mind-numbing. That’s certainly the case when it comes to genomic data where 40,000PB of storage each year will be needed by 2025. Understanding, managing and storing this massive amount of data was the topic at our SNIA Cloud Storage Technologies Initiative webcast “Moving Genomics to the Cloud: Compute and Storage Considerations.” If you missed the live presentation, it’s available on-demand along with presentation slides.

Our live audience asked many interesting questions during the webcast, but we did not have time to answer them all. As promised, our experts, Michael McManus, Torben Kling Petersen and Christopher Davidson have answered them all here.

Q. Human genomes differ only by 1% or so, there’s an immediate 100x improvement in terms of data compression, 2743EB could become 27430PB, that’s 2.743M HDDs of 10TB each. We have ~200 countries for the 7.8B people, and each country could have 10 sequencing centers on average, each center would need a mere 1.4K HDDs, is there really a big challenge here?

Deploying Confidential Computing Q&A

August 27, 2021August 27, 2021 Michael Hoard Leave a comment

The third live webcast in our SNIA Cloud Storage Technologies Initiative confidential computing series focused on real-world deployments of confidential computing and included case studies and demonstrations. If you missed the live event, you can watch it on demand here. Our live audience asked some interesting questions, here are our expert presenters’ answers.

Q. What is the overhead in CPU cycles for running in a trusted enclave?

A. We have been running some very large machine learning applications in secure enclaves using the latest available hardware, and seeing very close to “near-native” performance, with no more than 5% performance overhead compared to normal non-secure operations. This performance is significantly better in comparison to older versions of hardware. With new hardware, we are ready to take on bigger workloads with minimal overhead.

Also, it is important to note that encryption and isolation are done in hardware at memory access speeds, so that is not where you will tend to see a performance issue. Regardless of which secure enclave hardware capability you choose, each uses a different technology to manage the barrier between secure enclaves. The important thing is to look at how often an application crosses the barrier, since that is where careful attention is needed.

An Easy Path to Confidential Computing

July 6, 2021July 6, 2021 Michael Hoard Leave a comment

To counter the ever-increasing likelihood of catastrophic disruption and cost due to enterprise IT security threats, data center decision makers need to be vigilant in protecting their organization’s data. Confidential Computing is architected to provide security for data in use to meet this critical need for enterprises today.

The next webcast in our Confidential Computing series is “How to Easily Deploy Confidential Computing.” It will provide insight into how data center, cloud and edge applications may easily benefit from cost-effective, real-world Confidential Computing solutions. This educational discussion on July 28, 2021 will provide end-user examples, tips on how to assess systems before and after deployment, as well as key steps to complete along the journey to mitigate threat exposure. Presenting will be Steve Van Lare (Anjuna), Anand Kashyap (Fortanix), and Michael Hoard (Intel), who will discuss: