I’ve written a number of blogs on the economic value of Cisco UCS and how it is changing the economics of the datacenter. Now, for the first time we performed a TCO comparison of our new VersaStack solution and how it stacks up versus the competition. The VersaStack solution combines the innovation of Cisco UCS Integrated Infrastructure which includes: Cisco Unified Computing System (UCS), ACI-ready Cisco 9000 Nexus switches, Cisco MDS switches, and Cisco UCS Director— with the efficiency of the IBM Storwize storage system.
We all know that Big Data is getting bigger. And, the gap between the amount of data with hidden value and the amount of value that is actually extracted keeps widening. In fact, according to IDC, less than 1 percent of the world’s data is currently being analyzed. What good is data if it doesn’t produce actionable insights that generate improved outcomes?
A large portion of the world’s data is produced by the billions of connected objects that make up the Internet of Things (IoT), a critical enabler of the Internet of Everything. In Cisco Consulting Services, we recently conducted a blind global survey to learn more about how organizations are harnessing IoT to transform their businesses — and what they can do to drive more value. Read More »
Cisco Unified Computing System™ is unique among vendors with its comprehensive set of solutions for SAP and SAP HANA workloads—solutions that include servers with two to eight processors. Cisco Cisco UCS® C220 M4 Rack Server delivered 16,025 users and a SAPS score of 87,680: the best two-processor, two-tier result running Microsoft Windows 2012 Datacenter Edition.
Some of the key highlights of this result are:
- Best Two-Socket Server SAP SD Benchmark Result: The Cisco UCS C240 M4 running Microsoft Windows Server 2012 delivered the best two-tier SAP SD Benchmark result with SAP Enhancement Package 5 for SAP ERP 6.0 and Microsoft SQL Server 2012. The solution supported 16,025 SAP SD Benchmark users while maintaining a consistent application response time of less than one second
- Scale to meet demand: Cisco UCS C240 M4 Rack Server configured with the Intel Xeon processor E5-2600 v3 family can support up to 16,025 concurrent SAP SD Benchmark users in a Microsoft Windows Server 2012 and Microsoft SQL Server 2012 environment.
- Optimize application throughput: High-performance rack servers, blade servers, and network fabrics enable Cisco UCS to handle many SAP application tasks, with results showing that the system can process 1,753,670 order line items per hour or 5,261,000 dialog steps per hour.
- Cisco Consistently Improves Two-Processor, Two- Tier SAP SD Benchmark Performance: As illustrated in the graph below, these results show almost a 60 percent improvement over performance delivered by the last generation of Intel Xeon processor E5 product family CPUs.
The SAP SD Benchmark is designed to stress the computing infrastructure and determine whether a consistent response can be delivered as more users consume system resources. Cisco tested a Cisco UCS C240 M4 server equipped with two 2.30-GHz, 18-core Intel Xeon processor E5-2699 v3 CPUs, 256 GB of main memory, and a Cisco UCS Virtual Interface Card (VIC) 1225. The server ran both the SAP software and the 64-bit Microsoft SQL Server 2012 Enterprise Edition in a bare-metal configuration. Check out the Performance Brief and the detailed official benchmark disclosure report for additional information on the benchmark configuration.
Let’s see, what does this latest result mean for our customers?
- This result proves that Cisco UCS servers make an excellent foundation for any standards-based infrastructure solution.
- Cisco UCS dramatically reduces the number of physical components needed to support demanding SAP landscape applications, enabling IT departments to make effective use of limited space, power, and cooling resources.
- By deploying SAP on Cisco UCS, IT departments can support more users and accelerate response times. Many users can be supported—up to 16,025 in the benchmark configuration—with little hardware
- IT departments can choose from a broad range of Cisco UCS blade and rack server models to scale deployments further by using larger servers or by adding servers to create scale-out deployments with small footprints.
It is interesting to note that although all vendors have access to same Intel processors, only Cisco UCS unleashes their power to deliver high performance to applications through the power of unification. The unique, fabric-centric architecture of Cisco UCS integrates the Intel Xeon processors into a system with a better balance of resources that brings processor power to life. For additional information on Cisco UCS and Cisco UCS Integrated Infrastructure solutions please visit Cisco Unified Computing & Servers web page.
The statement of comparison is based on highest-performing system using two Intel Xeon processors and running SAP Enhancement Package 5 for SAP ERP 6.0 on Microsoft Windows Server 2012 Datacenter Edition in a two-tier configuration. Results referenced are available from the SAP website at: http://global.sap.com/solutions/benchmark/sd2tier.epx and are current as of December 1, 2014.
Guest post from Dan Swart
We want what we want when we want it. Never truer than today when we’ve got a global marketplace of technology vendors vying to deliver on now practically required solutions like enterprise cloud.
While it’s really impossible today to deploy an enterprise cloud using products created by a single vendor, would we want it any other way? Yes, there are major component manufacturers that can sell most of the products needed to build an enterprise cloud, but the restrictions inherent in those offers, and the need for margin stacking to single source all needed hardware and software from a component manufacturer may limit the attractiveness of those options.
Most of the customers we work with want to build their enterprise cloud using products that are “best for my needs” rather than products that are what a single manufacturer offers. Along with that, enterprise license agreements, volume purchase agreements and other factors make it difficult to purchase a cloud infrastructure from a single source. For those reasons and others, most enterprise cloud deployments are inherently multivendor.
So great, you get exactly what you want and need. What could go wrong? Famous last words. Read More »
Over the past few weeks, I’ve shared how we are helping our customers address one of their toughest challenges brought on by the Internet of Everything (IoE), Big Data and hybrid IT environments: effective management of the massive amounts of data, types of data and in various locations. With solutions like Data Virtualization , Big Data Warehouse Expansion and Cisco Tidal Enterprise Scheduler, we give our customers the tools to address this challenge head on.
Once you have access to all of your data…what next? The second challenge is to extract real-time valuable information from data in order to make better business decisions. As I’ve said before, more data is only a good thing if you use that data to better respond to opportunities and potential threats. Our customers certainly understand this and, in a recent Cisco study, 40% of surveyed companies identified effectively capturing, storing and analyzing data generated by connected “things” (e.g., machines, devices, equipment) as the biggest challenge to realizing the value of IoT.
The majority of data analysis has historically been performed after moving all data into a centralized repository, but digital enterprises will have so many connections creating so much widely distributed data that moving it all to a central place for analysis will no longer be the optimal approach. For insights needed in real-time, or data sets that are too large to move, the ability to perform analytics at the edge will be a new capability that must be incorporated into any comprehensive analytics strategy.
Analytics 1.0 was all about structured data, in centralized data repositories. Analytics 2.0 added unstructured data and gave rise to Big Data. Analytics 3.0 will require all of those existing capabilities but will also require data management and analytics capabilities closer to where the data is created…at the edge of the network.
With this new approach in mind, today we announced Connected Analytics for IoE, packaged, network-enriched analytics that leverage Cisco technologies and data to extract real-time valuable information called:
- Optimize the fan experience -- Connected Analytics for Events monitors Wi-Fi, device and application usage along with social media to deliver insights on fan engagement and business operations.
- Improve store operations and customer service -- Connected Analytics for Retail supports analysis of metrics, including customer and operational data in retail environments, to help stores take new steps to assure customer satisfaction and store performance.
- Enhance service quality, customer experience and unveil opportunities for new business -- Connected Analytics for Service Providers provides near real-time operational and customer intelligence from patterns in networks, operations, and customer system data.
- Understand how to get the most out of your IT assets -- Connected Analytics for IT provides advanced data management, data governance, business intelligence and insights to help align and get the most out of IT capabilities and services.
- Reveal hidden patterns impacting network deployment and optimization -- Connected Analytics for Network Deployment analyzes devices, software, and features for inconsistencies that disrupt network operations and provides visualizations and actionable recommendations to prioritize network planning and optimization activities.
- Understand customer patterns in order to meet quality expectations and uncover monetization strategies -- Connected Analytics for Mobility analyzes mobile networks to provide network, operations and business insights for pro-active governance to Wi-Fi solution customers.
- Gain a holistic view of customers across data silos -- Cisco Connected Analytics for Contact Center delivers actionable customer intelligence to impact behaviors and outcomes during the critical window of customer decision making. Having the right offer at the right time will drive market leadership.
- Measure the impact of collaboration in comparison with best practices -- Cisco Connected Analytics for Collaboration measures the adoption of collaboration technologies internally. It leverages data collection using the Unified Communications Audit Tool, from sources such as WebEx, IP Phones, Video, Email and Jabber.
The portfolio also includes Cisco Connected Streaming Analytics, a scalable, real-time platform that combines quick and easy network data collection from a variety of sources with one of the fastest streaming analytics engines in the industry.
In the world of IoE, data is massive, messy, and everywhere, spanning many sources – cloud, data warehouses, devices – and formats – video, voice, text, and images. The power of an intelligent infrastructure is what brings all of this data together, regardless of its location or type. That is the Cisco difference.