Keeping pace with multiple architectures (Part 2)

In our first post of discussing Red Hat’s multi-architecture strategy, we focused on the disruptive nature of enabling new and rapidly-evolving architectures and how this enablement necessitates a different set of product requirements to fulfill our vision of providing a consistent and familiar experience to our customers across multiple hardware architectures. While we have been working with many original equipment manufacturers (OEMs) on x86_64-based servers for years, we have seen interest from our customer base in delivering parity across multiple architectures, including IBM Power Little Endian (ppc64le) and ARMv8-A (aarch64).

So what exactly are we doing with our partners to make this 

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Put Your ‘Red Hat’ on at SAPPHIRE 2016!

This year’s SAPPHIRE NOW + ASUG Annual Conference in Orlando, Florida, from May 17-19, 2016, is packed with Red Hat events – happening at our booth, the SAP Mini Theater, and the SAP Demo Theater. We’re also presenting around the show at the Intel, Hitachi Data Systems, HP Enterprise, and Lenovo booths.

We look forward to meeting our community, showcasing our solutions, and highlighting the top companies we’ve been working with. We have excellent customers and partners and are eager to tell you their stories. Plus we’re giving away

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Yogi Berra, Predictive Analytics, and SAP HANA Running on Red Hat Enterprise Linux for SAP HANA

Yogi Berra, the late baseball great and oft-quoted source of humorous statements about the condition of the world, once said, “It’s tough to make predictions, especially about the future.” Some of his most celebrated remarks were eerily prescient on the subject of using technology to predict the future. As many IT managers today ponder the best way forward with predictive analytics, it might be interesting to think about it from his perspective. Consider predictive analytics in the context of the following classic Yogi-isms

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High Performance Computing Everywhere for Financial Services (and Beyond)

Information technology has changed every industry in the past 20 years, to the point that IT systems are no longer the domain of just the technologists. Business decision makers are actively involved in the planning, purchasing, and deployment of technologies today. And one of the critical issues for business executives is getting more timely information and greater value from enterprise systems.

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Three Ways to Improve Financial Reporting

Numbers are the only universal language.
– Nathaniel West

Numbers are the language of business. We use them to tell us the real story of how our business is doing—growth, profitability, trends, highlights and challenges.

But getting access to the key numbers at the right time, that’s another matter. Accessing the data and creating financial reports has always been challenging, requiring a major investment of time and resources—whether your enterprise is small or large.

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Business Intelligence for the Real-Time Enterprise

The ocean of data coursing through your business can be a blessing or a curse.

If you can use your data to spot opportunities as they appear, it can mean the difference between success and failure. Unfortunately for many companies, key performance indicators and other metrics reporting can involve long waits due to complex legacy systems burdened by large data volumes. The result can be standard reports that take hours or even days—and an inability to deliver custom reports.

How do these companies compensate for slow, inflexible reporting systems? Many end up relying on spreadsheets and manual labor to consolidate information from disparate systems. Is this timely or an efficient use of company manpower? Usually not.

In today’s 24/7, digital world, real-time analytics

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