The new Serial Attached SCSI (SAS)-4.1 (INCITS 567) technology is being deployed in the market for use in practically every industry, including hyperscale data centers, banking, education, government, healthcare and manufacturing. It maintains backwards compatibility with previous-generation SAS implementations, which means that older drives will be compatible with newer storage controller and SAS expander products.

It has been a tradition that, every once in a while, we stop and reassess whether we need to build our next filesystems differently. A key previous effort was made by the Carnegie Mellon University's NASD project, which decoupled filesystem data communication from metadata management and leveraged object storage devices for scalable data access. Now, as we enter into the exascale age, once again, we need bold ideas to advance parallel filesystem performance if we are to keep with up the rapidly increasing scale of today's massively-parallel computing environments.

Netflix Studios produces petabytes of media content accounting for billions of media assets. These assets are managed, created, edited, encoded, and rendered by artists working on a multitude of workstation environments that run on cloud, from different parts of the globe. Artists working on a project may only need access to a subset of the assets from a large corpus. Artists may also want to work on their personal workspaces on intermediate content, and would like to keep only the final copy of their work persisted on cloud.

Reducing the amount of data is a huge advantage of saving a total cost of ownership for a distributed storage system. To do this, a deduplication method which removes redundant data is being used as one of the promising solutions to save storage capacity. However, in practice, traditional deduplication methods designed for a local storage system is not suitable for a distributed storage system due to several challenging issues.

The Key Per IO (KPIO) project is a joint initiative between the NVM Express® and TCG Work Groups (WGs) to define a new KPIO Security Subsystem Class (SSC) under TCG Opal SSC for NVMe® class of Storage Devices. Self-Encrypting Drives (SED) perform continuous encryption on user accessible data based on contiguous LBA ranges per namespace. This is done at interface speeds using a small number of keys generated/held in persistent media by the storage device. KPIO will allow large numbers of encryption keys to be managed and securely downloaded into the NVM subsystem.

This is an overview of the new standards work being defined in the storage work group of the TCG. This includes overview of the TCG Opal SSC, SIIS (Storage Interface Interactions Specifications), Configurable Namespace Locking, and Key Per IO. The session may also touch upon some of the enhancements being worked on in the work group such as Settable Trylimits and Persistence feature set.

We are all used to thinking that from a performance perspective distributed storage symmetrical systems perform best because of the weakest link in the chain effect. This presentation discusses situations in which asymmetrical implementation reduces the cost of implementation and improves the performance. This happens because of the public cloud resource variety and price structure. The presentation discusses the model and the details for cheaper and more performant asymmetrical Ceph deployment

This talk will discuss the latest trends in the growth of emerging non-volatile memories and look beyond at the emergence of new computer architectures which will use non-volatile memories for near memory and shared far memory. Emerging non-volatile memory technologies (such as 3D XPoint, MRAM and RRAM) are now available in the data center and in the next generation of AI-based IoT devices. Major foundries are making SoCs with MRAM and RRAM replacing NOR flash and SRAM. Non-volatile memory will play a big role in the data center, at the edge and endpoints.

The Open Data Framework (ODF) unifies data and storage management from the core, to cloud and to edge. In this talk, we will show how ODF simplifies Kubernetes storage management, provides data protection for applications, and connect data on-prem to clouds. We will also be introducing how ODF can be extended with other SODA projects such as DAOS - a distributed asynchronous object storage for HPC, ZENKO - a multicloud data controller with search functionality, CORTX - an object storage optimized for mass capacity storage and others (YIG, LINSTOR, OpenEBS).

A deep dive of the methodology and tooling that we use at Meta, to improve debuggability of failures in the datacenters, especially for failures on components like SSDs where privacy requirements might prohibit us from sending the components back for FA or add custom instrumentations in our datacenter. In particular, we will talk about how the tool tracewatch coupled with Latency Monitoring log page helps us trigger trace collection on failures using BPF based triggers.