In mechanical engineering, CAD has enabled engineers, architects, and construction to create fully-featured designs so that they can visualize the construction which enables the development, modification, and optimization of the design process. Why is this missing from the world of performance engineering? Until now, it has been seen as an intractable problem to build for the exponential difficulty of complex storage and memory hierarchies. That’s no longer the case.

Terraform – infrastructure as code tool from HashiCorp for building, changing, and managing infrastructure. We can use it to manage Multi-Cloud environments with a configuration language called the HashiCorp Configuration Language (HCL). It codifies cloud APIs into declarative configuration files. We will learn how to write the Configuration files in the Terraform to run a single application or manage an entire data center by defining the plan and then executing it to build the described infrastructure.

Hadoop becomes imperative to process a large and complex set of data. However, often the issue of architecture scalability pose unnecessary roadblock in this process. OpenStack – an open-source software instills the required operational flexibility to scale-out architecture for Hadoop. This session will throw light on how we helped a client install Hadoop on VMs using OpenStack. We will discuss in-depth the challenges of manual operations and how we overcame them with Sahara. The audience will also learn why we virtualized hardware on the computing nodes of OpenStack and deployed VMs.

In this session, we will start with identifying the current problems in traditional identify management methods like bad password combination, failure due to manual provisioning and de-provisioning process, no regulations for access restriction, non-updated applications, and others. We’ll then walk through detailed Blockchain features of decentralization, immutability, and transparency and learn how it these features will help us solve the aforementioned problems.

DOTS is the only digital storage designed to be read with a camera employing standard image processing techniques. Data is recorded visually on patented phase-change metal alloy tape at a microscopic density that rivals the capacity of current magnetic tapes. DOTS can record any digital file format, visible text, and imagery on the same media. Using a visual method to represent the data ensures, as long as cameras and imaging devices are available, the information will always be recoverable, and backwardly compatible to the 1st generation.

Large scale caching systems are making a transition from DRAM to SSDs for cost/power trade-offs and that brings out interesting challenges to both software and hardware. At Facebook, CacheLib is a widely deployed general purpose caching engine, enabling this transition through hybrid caching. In this talk, we introduce hybrid cache, highlight the challenges of hybrid caches at scale and the various techniques Facebook adopts to tackle these challenges.

SMB3 has seen significant adoption as the storage protocol of choice for running private cloud deployments. With the recent advances in persistent memory technologies, we will take a look at how we can leverage the SMB3 protocol in conjunction with SMBDirect/RDMA to provide very low latency access to persistent memory devices across the network. With the increasing popularity of cloud storage - technologies like Azure Files which provide seamless access to cloud stored data via the standard SMB3 protocol is seeing significant interest.

Starting with version 4.14 Samba provides core infrastructure code that allows basing all access to the server's filesystem on file handles and not on paths. An example of this is using fstat() instead of stat(), or SMB_VFS_FSTAT() instead of SMB_VFS_STAT() in Samba parlance. Historically Samba's fileserver code had to deal a lot with processing path based SMB requests.

The DatacenterSSD specification has been created by a group of hyperscale datacenter companies in collaboration with SSD suppliers and enterprise integrators. What is in this specification? How does it expand on the NVMe specification? How can devices demonstrate compliance? In this talk we’ll review important items from the DatacenterSSD specification to understand how it expands on the NVMe family of specifications for specific use cases in a datacenter environment.

Today, information is being digitized on a massive scale, by servers in datacenters, by mobile devices, and by networks of sensors everywhere around us. Artificial intelligence techniques and ubiquitous processing power are making it possible to mine this massive ocean of data; however, integral to harnessing this data as knowledge is the ability to store it for long periods of time.