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Great Storage Debate: Hyperconverged vs. Disaggregated vs. Centralized

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In the ongoing evolution of the datacenter, a popular debate involves how storage is allocated and managed. There are three competing visions about how storage should be done; those are Hyperconverged Infrastructure (HCI), Disaggregated Storage, and Centralized Storage.

IT architects, storage vendors, and industry analysts argue constantly over which is the best approach and even the exact definition of each. Isn’t Hyperconverged constrained? Is Disaggregated designed only for large cloud service providers? Is Centralized storage only for legacy applications?

Security of Data on NVMe over Fabrics, the Armored Truck Way

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With ever increasing threat vectors both inside and outside the data center, a compromised customer dataset can quickly result in a torrent of lost business data, eroded trust, significant penalties, and potential lawsuits. Vulnerabilities exist at every point when scaling out NVMe, which require data to be secured every time it leaves a server or the storage media, not only when leaving the data center.

SDC India

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The SNIA India Storage Developer Conference (SDC India) has traditionally taken place in Bangalore, and was staged as a virtual conference for the first time last December. August will see the return of the virtual conference offering the same great technical content and opportunities for networking but from the safety of your own home/office.

Hardware Accelerated Blockchain Operations

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The storage industry is working on ways to meet the demand for the very high throughput required for the volume of transactions per second in Blockchain operations.

Data Movement and Computational Storage - a Panel Discussion

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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.

Universal Fabric Management for Tomorrow’s Data Centers

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Large-scale computing designs are increasingly multi-node and linked together through high-speed networks. These networks may be comprised of different types of technologies, fungible, and morphing. Over time, many different types of high-performance networking devices will evolve to participate in these modern, coupled-computing platforms. New fabric management capabilities, orchestration, and automation will be required to deploy, secure, and optimally maintain these high-speed networks.

Storage Developer Conference

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Taking place on September 12-15, 2022, SNIA's Storage Developer Conference (SDC) will bring the global storage developer community together to collaborate and network through the sharing of ideas, industry developments and best practices.

What is Confidential Computing and Why Should I Care?

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In the "arms race" of security, new defensive tactics are always needed. One significant approach is Confidential Computing: a technology that can isolate data and execution in a secure space on a system, which takes the concept of security to new levels. This SNIA Cloud Storage Technologies Initiative (CSTI) webcast will provide an introduction and explanation of Confidential Computing and will feature a panel of industry architects responsible for defining Confidential Compute. It will be a lively conversation on topics including:

Confidential Compute: Protecting Data in Use

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As noted in our panel discussion “What is Confidential Computing and Why Should I Care?,” Confidential Computing is an emerging industry initiative focused on helping to secure data in use. The efforts can enable encrypted data to be processed in memory while lowering the risk of exposing it to the rest of the system, thereby reducing the potential for sensitive data to be exposed while providing a higher degree of control and transparency for users.

Accelerate Disaggregated Storage to Optimize Data-Intensive Workloads

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Thanks to big data, artificial intelligence (AI), the Internet of things (IoT), and 5G, demand for data storage continues to grow significantly. The rapid growth is causing storage and database-specific processing challenges within current storage architectures. New architectures, designed with millisecond latency, and high throughput, offer in-network and storage computational processing to offload and accelerate data-intensive workloads.

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