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How Memory RAS Technologies Can Enhance the Uptime of HP ProLiant Servers
Guest blog written by Bernadina Mickey
Read this new white paper and learn #1 cause of server crashes or service events.
What criteria do you use in picking the optimal server for your workload?
Selecting the right HP ProLiant scale-up server for your workloads. Guest Blog by Bernadina Mickey, world-wide x86 Scale-Up Program Manager at HP’s Industry-standard Servers & Software Business Unit
Why RISC it? Scale-up Industry Standard x86 Servers are here TODAY!
Better performance at 1/8th the price-per-query. If you’re facing another expensive RISC/UNIX upgrade, there’s a better alternative. Break out of the RISC lock-in! You can now get the performance and reliability your critical workloads demand while taking advantage of the economics only x86 can deliver. Shift to industry standard HP ProLiant servers running Red Hat Enterprise Linux.
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Scaling up your virtualization solution on 8-socket HP ProLiant Servers
These days, when wearing my “Linux planner” hat, and with Virtualization being the “phrase that pays”, I’m often asked to help provide guidance on how to best take advantage of the technology included in our 8-socket HP ProLiant server offerings for Linux based virtualization solutions like Red Hat Enterprise Virtualization or Suse Linux Enterprise Server Xen (there’s a plethora of information out there about VMware ESX/ESXi 3.5.x and vSphere 4.0, so I’m not going to talk about that, this time around.)
The problem I’ve had, until recently, was providing actual – objective - data as a means to help illustrate my points. For instance, I could not clearly illustrate how a snoop filter on the CPU interconnect can improve the linearity of the workload scalability in a virtualized environment (see Fig. 1).

Fig. 1: Average response time with pinned vs. un-pinned processors
I was unable to demonstrate benefits of the NUMA aware scheduler that the Linux kernel uses and how it does improve performance. (In figures 2 and 3, it’s represented by the improvement in average response times from the web-servers included in the workload) when your workloads run with memory interleaving disabled in the system BIOS – see Fig. 2. Unless, for support reasons, your application vendor explicitly tells you otherwise.

Fig. 2: Average Response Times - Non-interleaved Memory Config

Fig. 3: Average Response Times - Interleaved memory
I also used to have a hard time explaining how and why to tune the Linux kernel for these systems. For instance, I only suspected how little (none) tuning of the host platform is required in order to drive pretty significant numbers of guests (98) in these environments - see Fig. 4. But, if you engage in some very minor tuning activities of the network stack, how those very same workload performance results can be extended even further (to 256 guests) – see Fig. 5:

Fig. 4: The system has not been tuned beyond it's "out of the box" state.

Fig. 5: System is tuned and exhibiting linear scalability to 256 KVM guests
As part of a joint documentation effort with Red Hat, all of the data collected has been brought together in a Reference Architecture document - “Scaling RHEL 5.4 + KVM up to 256 Guests" available for free from Red Hat’s website.
We obviously picked the guest density to prove a point about the platform, however it’s worth mentioning that 256 guests does not represent the upper bound for the platform. It only represents where we thought the density went (far) beyond what is reasonable to expect in a production environment this day in age.
Contributed by Thomas Sjolshagen (Strategic Planner for Linux and Virtualization on scale-up x86 servers)
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Looking for more performance and lower costs for your SAP applications? HP ProLiant servers and SUSE Linux Enterprise Server solution is leading the pack .
Increasingly, Linux is being selected for business-oriented enterprise applications due to its growing reputation for stability; reliability and scalability combined with the cost economies of Linux and open source (see IDC white paper ).
Effectively supporting business critical deployments require that the underlying computing platform offers the performance, scalability, and expandability for the most demanding resource intensive workloads. In addition to the maturation of Linux, x86 platforms have also grown up becoming more advanced and now offer features that accelerate performance, improve availability and manageability, expand memory capacity, and optimize power usage. The resulting combination of Linux on scale-up x86 servers has become an attractive choice for customers who require the economies of an x86 ecosystem.
HP ProLiant servers offer exceptional performance for enterprise class business applications running Linux at an attractive total cost of ownership due lower management, maintenance and energy costs.
With the latest benchmark results published on December 7th , 2009, ProLiant servers now hold the #1 Linux 8-processor, #1 Linux 4-processor, and both the #1 and #2 Linux 2-processor two-tier SAP SD benchmark with SAP enhancement package 4 for SAP ERP 6.0 results demonstrating the scalability of the ProLiant AMD Opteron server family with a 3.47x performance increase when migrating from a two-processor to eight-processor server.
The HP ProLiant DL785 G6 scored best 8-processor result for Linux with the two-tier SAP Sales and Distribution Standard Application Benchmark. This recent certification was completed on the 48-core ProLiant DL785G6 configured with the SAP enhancement package 4 for SAP ERP 6.0 running SUSE Linux Enterprise Servers 10 SP2 and MaxDB.
In addition to demonstrating excellent performance and scalability, this combination of utilizing industry standard HP ProLiant DL785 hardware combined with the lower cost of SUSE Linux Enterprise Server can provide a TCO saving of 32.4% when compared to the Sun Solaris 10 on SPARC T5440 UltraSPARC T2 platform. For this detailed TCO analysis and to learn more about migrating your SAP environment from Solaris to SUSE Linux Enterprise Server on HP platforms check out this on-demand webinar .
- Contributed by John Rinehart





