Welcome!

Containers Expo Blog Authors: Liz McMillan, Pat Romanski, Yeshim Deniz, Elizabeth White, Zakia Bouachraoui

Related Topics: @CloudExpo, Containers Expo Blog, SDN Journal

@CloudExpo: Blog Feed Post

Which Enterprise HDD to Use for a Content Server Platform | @CloudExpo #Cloud #Storage

Insight for effective server storage I/O decision making

This post is the first in a multi-part series based on a white paper hands-on lab report I did compliments of Servers Direct and Seagate that you can read in PDF form here. The focus is looking at the Servers Direct (www.serversdirect.com) converged Content Solution platforms with Seagate Enterprise Hard Disk Drive (HDD's). I was given the opportunity to do some hands-on testing running different application workloads with a 2U content solution platform along with various Seagate Enterprise 2.5" HDD's handle different application workloads. This includes Seagate's Enterprise Performance HDD's with the enhanced caching feature.

Issues And Challenges
Even though Non-Volatile Memory (NVM) including NAND flash solid state devices (SSDs) have become popular storage for use internal as well as external to servers, there remains the need for HDD's Like many of you who need to make informed server, storage, I/O hardware, software and configuration selection decisions, time is often in short supply.

A common industry trend is to use SSD and HDD based storage mediums together in hybrid configurations. Another industry trend is that HDD's continue to be enhanced with larger space capacity in the same or smaller footprint, as well as with performance improvements. Thus, a common challenge is what type of HDD to use for various content and application workloads balancing performance, availability, capacity and economics.

Content Applications and Servers

Fast Content Needs Fast Solutions
An industry and customer trend are that information and data are getting larger, living longer, as well as there is more of it. This ties to the fundamental theme that applications and their underlying hardware platforms exist to process, move, protect, preserve and serve information.

Content solutions span from video (4K, HD, SD and legacy streaming video, pre-/post-production, and editing), audio, imaging (photo, seismic, energy, healthcare, etc.) to security surveillance (including Intelligent Video Surveillance [ISV] as well as Intelligence Surveillance and Reconnaissance [ISR]). In addition to big fast data, other content solution applications include content distribution network (CDN) and caching, network function virtualization (NFV) and software-defined network (SDN), to cloud and other rich unstructured big fast media data, analytics along with little data (e.g. SQL and NoSQL database, key-value stores, repositories and meta-data) among others.

Content Solutions And HDD Opportunities
A common theme with content solutions is that they get defined with some amount of hardware (compute, memory and storage, I/O networking connectivity) as well as some type of content software. Fast content applications need fast software, multi-core processors (compute), large memory (DRAM, NAND flash, SSD and HDD's) along with fast server storage I/O network connectivity. Content-based applications benefit from having frequently accessed data as close as possible to the application (e.g. locality of reference).

Content solution and application servers need flexibility regarding compute options (number of sockets, cores, threads), main memory (DRAM DIMMs), PCIe expansion slots, storage slots and other connectivity. An industry trend is leveraging platforms with multi-socket processors, dozens of cores and threads (e.g. logical processors) to support parallel or high-concurrent content applications. These servers have large amounts of local storage space capacity (NAND flash SSD and HDD) and associated I/O performance (PCIe, NVMe, 40 GbE, 10 GbE, 12 Gbps SAS etc.) in addition to using external shared storage (local and cloud).

Where to Learn More

What This All Means
Fast content applications need fast content and flexible content solution platforms such as those from Servers Direct and HDD's from Seagate. Key to a successful content application deployment is having the flexibility to hardware define and software defined the platform to meet your needs. Just as there are many different types of content applications along with diverse environments, content solution platforms need to be flexible, scalable and robust, not to mention cost effective.

Continue reading part two of this multi-part series here where we look at how and what to test as well as project planning.

Ok, nuff said

Cheers
Gs

Server StorageIO Lab Review

Which enterprise HDD to use for content servers

Greg Schulz - Author Cloud and Virtual Data Storage Networking (CRC Press), The Green and Virtual Data Center (CRC Press) and Resilient Storage Networks (Elsevier)
twitter @storageio

All Comments, (C) and (TM) belong to their owners/posters, Other content (C) Copyright 2006-2016 Server StorageIO(R) and UnlimitedIO All Rights Reserved

Read the original blog entry...

More Stories By Greg Schulz

Greg Schulz is founder of the Server and StorageIO (StorageIO) Group, an IT industry analyst and consultancy firm. Greg has worked with various server operating systems along with storage and networking software tools, hardware and services. Greg has worked as a programmer, systems administrator, disaster recovery consultant, and storage and capacity planner for various IT organizations. He has worked for various vendors before joining an industry analyst firm and later forming StorageIO.

In addition to his analyst and consulting research duties, Schulz has published over a thousand articles, tips, reports and white papers and is a sought after popular speaker at events around the world. Greg is also author of the books Resilient Storage Network (Elsevier) and The Green and Virtual Data Center (CRC). His blog is at www.storageioblog.com and he can also be found on twitter @storageio.

IoT & Smart Cities Stories
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.
Digital Transformation and Disruption, Amazon Style - What You Can Learn. Chris Kocher is a co-founder of Grey Heron, a management and strategic marketing consulting firm. He has 25+ years in both strategic and hands-on operating experience helping executives and investors build revenues and shareholder value. He has consulted with over 130 companies on innovating with new business models, product strategies and monetization. Chris has held management positions at HP and Symantec in addition to ...
Enterprises have taken advantage of IoT to achieve important revenue and cost advantages. What is less apparent is how incumbent enterprises operating at scale have, following success with IoT, built analytic, operations management and software development capabilities - ranging from autonomous vehicles to manageable robotics installations. They have embraced these capabilities as if they were Silicon Valley startups.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...