Welcome!

@CloudExpo Authors: Liz McMillan, Pat Romanski, Elizabeth White, Zakia Bouachraoui, Yeshim Deniz

Related Topics: Industrial IoT, Java IoT, Microservices Expo, Containers Expo Blog, Log Management, @CloudExpo, Apache

Industrial IoT: Article

HP Claims to Have the Only Purpose-Built Big Data Servers

It’s said to consume up to 50% less space and 61% less power for 31% less money while using 63% fewer cables

HP Thursday put out an x86 server it claims is purpose-built for Big Data.

It says existing architectures aren't designed to handle the specific needs of Big Data workloads such as Hadoop, MPP data warehouses, Big Data analytics and object stores, and that early deployments have returned suboptimal results in terms of performance and cost.

It claims its new wonder will save the user up to $1 million over three years.

As the kind of ultra-dense solution required by these workloads, the new HP ProLiant SL4500 server series is supposed to provide maximum performance, productivity and cost-effectiveness.

It's said to consume up to 50% less space and 61% less power for 31% less money while using 63% fewer cables.

The modular design of the series offers various compute and storage configurations so clients can optimize their infrastructure for a workload-specific application, rather than piece together incongruent hardware for the supporting infrastructure.

The widgetry supports multiple Apache Hadoop vendors including Cloudera and Hortonworks, as well as OpenStack Cloud Software and MongoDB.

The ProLiant SL4500 server series in a single-node configuration is available immediately worldwide for a starting price of $7,643.

HP says current server offerings cannot address the rapidly growing amounts of storage and servers for Big Data, forcing IT leaders to acquire additional expensive data center space. However, the new ProLiant SL4500 server series solves this problem by delivering industry-leading storage density of up to 240TB in a single 4.3 U chassis, or 2.16PB with nine servers in an industry-standard 42-U rack.

The latest member of the HP ProLiant Generation 8 (Gen8) family, the HP SL4500 server series, is uses HP's ProActive Insight Architecture, which embeds intelligence and automation capabilities to eliminate down time and safeguard valuable data.

The new ProLiant SL270s Gen8 servers with HP Smart Array technology will be available next month at a starting price of $6,166. It'll support up to eight Intel Xeon Phi coprocessors or eight NVIDIA Kepler GPUs per server

With the smart analytics of HP SmartCache, the system is supposed to optimize storage traffic to ensure the lowest latency response and up-front investment.

The SL250s Gen8 servers will be available with Kepler and Xeon Phi processors early next year starting at $5,659.

More Stories By Maureen O'Gara

Maureen O'Gara the most read technology reporter for the past 20 years, is the Cloud Computing and Virtualization News Desk editor of SYS-CON Media. She is the publisher of famous "Billygrams" and the editor-in-chief of "Client/Server News" for more than a decade. One of the most respected technology reporters in the business, Maureen can be reached by email at maureen(at)sys-con.com or paperboy(at)g2news.com, and by phone at 516 759-7025. Twitter: @MaureenOGara

Comments (0)

Share your thoughts on this story.

Add your comment
You must be signed in to add a comment. Sign-in | Register

In accordance with our Comment Policy, we encourage comments that are on topic, relevant and to-the-point. We will remove comments that include profanity, personal attacks, racial slurs, threats of violence, or other inappropriate material that violates our Terms and Conditions, and will block users who make repeated violations. We ask all readers to expect diversity of opinion and to treat one another with dignity and respect.


CloudEXPO Stories
Cloud computing delivers on-demand resources that provide businesses with flexibility and cost-savings. The challenge in moving workloads to the cloud has been the cost and complexity of ensuring the initial and ongoing security and regulatory (PCI, HIPAA, FFIEC) compliance across private and public clouds. Manual security compliance is slow, prone to human error, and represents over 50% of the cost of managing cloud applications. Determining how to automate cloud security compliance is critical to maintaining positive ROI. Raxak Protect is an automated security compliance SaaS platform and managed service, that enables cloud apps to be deployed securely, quickly, cost-effectively, and without human error.
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.
"MobiDev is a Ukraine-based software development company. We do mobile development, and we're specialists in that. But we do full stack software development for entrepreneurs, for emerging companies, and for enterprise ventures," explained Alan Winters, U.S. Head of Business Development at MobiDev, in this SYS-CON.tv interview at 20th Cloud Expo, held June 6-8, 2017, at the Javits Center in New York City, NY.
While some developers care passionately about how data centers and clouds are architected, for most, it is only the end result that matters. To the majority of companies, technology exists to solve a business problem, and only delivers value when it is solving that problem. 2017 brings the mainstream adoption of containers for production workloads. In his session at 21st Cloud Expo, Ben McCormack, VP of Operations at Evernote, discussed how data centers of the future will be managed, how the public cloud best suits your organization, and what the future holds for operations and infrastructure engineers in a post-container world. Is a serverless world inevitable?
When applications are hosted on servers, they produce immense quantities of logging data. Quality engineers should verify that apps are producing log data that is existent, correct, consumable, and complete. Otherwise, apps in production are not easily monitored, have issues that are difficult to detect, and cannot be corrected quickly. Tom Chavez presents the four steps that quality engineers should include in every test plan for apps that produce log output or other machine data. Learn the steps so your team's apps not only function but also can be monitored and understood from their machine data when running in production.