Software-Defined Storage (SDS) means different things to different people, with solutions ranging from do it yourself to full-fledged scale up and scale out architectures, the landscape can seem blurry and confusing. This session aims to eliminate the confusion on what all these terms mean by mapping each style of SDS with a corresponding environment. These solutions include the use of virtual server based solutions, containers, bare metal installs and even hyper-converged.

Docker is one of the leading choices for dynamic application deployment and management. A large part of successful Docker deployments is a strong storage management strategy. Learn how to integrate your storage solutions into Docker deployments with simple API integration points, and strategies to help your customers take advantage of advanced storage management capabilities that are not delivered out of the box with Docker.

Non-volatile memory (NVM) is an exciting technology that offers persistence at near memory speeds in large enough capacity to change the storage vs. memory paradigm used by applications such as databases, analytics and filesystems. In this session, you will hear how VMware is working to ensure vSphere can deliver the improved performance and capacity of NVM with the virtualization benefits of workload agility and optimized consolidation. We will also preview NVM's potential by sharing results from our persistent memory-aware Redis port.

With the ever-growing data churn, companies are in need of newer ways to utilize their storage more efficiently than ever. Digital transformation is here to stay resulting in huge volumes of digital data, addressing Bigdata issues, having an integrated data management and cloud strategy to support scale of businesses. This put together calls for a strategy that plans, integrates and manages the storage infrastructure to be ‘transformation ready’.

The increased sophistication of storage systems has led to a similar evolution of data redundancy and capacity management. This paper distinguishes hot spare disks from hot spare capacity. The use of a RecoverableCapacitySourceCount is highlighted as a more flexible and user-focused assessment of system resiliency. The SNIA Scalable Storage Management Technical Work Group, which developed and reviewed this document, would like to recognize the significant contribution made by the principal author, Doug Voigt.

Anomaly Detection methods are a much-discussed topic. Every application wants to detect unusual behavior, for reasons from reliability to security to performance. The reality is that with so much data, such detection methods need to be able to be processed in real-time, and most applications don’t have time for an algorithm to “learn” the system. Moreover, traditional anomaly detection algorithms rely too much on initial bias and human opinion, while building on a relative definition of what an anomaly is.

Intel Fellow Amber Huffman has been at the center of Intel’s development for SSDs, with emphasis on SSD storage interfaces and next generation form factors. In this talk, she will discuss the rationale behind decisions that were made in advancing storage architecture leading to the emergence of solid state only Data Centers. Amber will also discuss the key factors influencing the future of the Data Center and the important role storage continues to play.

Software Defined Data Infrastructures (SDDI) are in your future if not already. SDDI spans cloud, containers, virtual SDDC, VPS, DPS along with hybrid environments. This session looks at industry trends, technologies, tools along with techniques to expand your server, storage and i/o networking knowledge, experiences and tradecraft.

This presentation will give an overview of the recent developments in the Linux I/O stack with a focus on new features and technologies that have been implemented in the last 12 months.

Topics include NVMe over Fabrics, NVMe Multipathing, improved support for zoned block devices, multi-actuator disk drives, I/O scheduling, Open Channel devices, IRQ balancing, and more.