Cisco highlighted its support for OpenStack at the recent OpenStack Summit in Atlanta, which hosted 4500+ attendees and included many more users, in addition to the developers and operators that have dominated past conferences. A common theme among keynote presentations was the speed and flexibility of IT required to support the clouds that will soon dominate commerce and communication worldwide. The effort underway to improve stability was also a recurring discussion topic.
OpenStack Summit, May 12-15 in Atlanta
From its beginning as an open source project at NASA, the OpenStack movement has grown as an open alternative to propriety cloud services and applications. The Summit serves as a forum for those interested in hashing out the direction and adoption of the model and standards, as well as a learning opportunity for those ready to build and deploy on them.
Keynote speakers from Wells Fargo and Disney helped transition the Summit from an academic exercise to a forum for learning how innovative companies are taking control of their cloud environments.
Glenn Ferguson, Head of Private Cloud Enablement for Wells Fargo, described the compliance, auditing and governance Wells requires in its private cloud, that aren’t available in public cloud offerings. Wells has designated OpenStack their “cloud infrastructure model” to facilitate rapid deployment of infrastructure to meet application developers’ needs and requires all IT vendors to work within the OpenStack specifications. “This is something we have to do to remain agile and competitive in this environment,” Ferguson said. “Our infrastructure needs to keep pace with the software.”
Chris Launey, Disney’s Director of Cloud Architectures and Services, was blunt in how he described the value of speed. “If you’re a business that deals in any kind of information, you need speed (to thrive.) “If you give (developers) their own ‘fast’, they’ll make their own ‘cheap’ by getting their product to market quickly and responding to customer demands. And (they’ll) make their own ‘good’ by shrinking development cycles and introducing improvements more often, until they reach a virtual continuous cycle of improvements.”
The OpenStack Foundation divides the work into individual projects focused on the various cloud components: servers, object-based storage, networking infrastructure, security, etc. Proponents are excited about the innovation that can be unleashed when developers are freed from having to worry about the complexities associated with underlying infrastructure and can focus on the innovation of cloud services and applications.
Cisco was highly visible at the Summit, drawing standing-room-only crowds to sessions in the Networking Track, as network stability and scalability are top-of-mind for users deploying critical applications and services to an open source cloud.
Lew Tucker, Cisco Vice President and CTO for Cloud Computing and Vice-Chair of the OpenStack Foundation, painted a picture of what is possible in his presentation “Open Stack and the Transformation of the Data Center.” He described how the data center is becoming a large, highly automated “fabric” consisting of interconnected physical systems and virtualized services. In this environment, OpenStack acts as a platform for building a highly efficient cloud, providing management of diverse infrastructure “below” and orchestration of a vast set of application services “above”.
Lew Tucker, Cisco VP and CTO of Cloud Computing
Cisco’s key contribution to OpenStack has been participation in the development of Neutron, the OpenStack Networking Service. There is clearly a need to have the same level of visibility and management flexibility that Cisco has been offering its customers in an open source cloud model. In addition to driving connectivity generally, Cisco has received approval on blueprints for plugins to integrate VPN- and Firewall-as-a-Service as part of OpenStack networking. (Referred to as Network Function Virtualization (NFV) plugins.) Cisco is also working on the integration of OpenStack Neutron with OpenDaylight, a separate project started to focus specifically on network programmability. Cisco’s extensive work in the open source community will bring even greater value to its existing customers by extending the ecosystem of solutions integrated with Cisco products.
In the Expo Hall, Cisco highlighted the integration of its networking, compute and management products with OpenStack APIs, demonstrating:
If you missed the Summit, check out the Session Videos and Slides to deep-dive presentations by Cisco contributors, presented at the Atlanta Summit 2014:
Tags: ACI, Cisco, Cisco UCS, cloud, devops, Neutron, nexus, NFV, opendaylight, OpenStack
Cisco UCS continues its tradition of performance leadership with the announcement of three world –record benchmark performance results:
- Cisco UCS B260 M4 blade servers achieved the best 2-processor 2-tier SAP Sales and Distribution (SD) Benchmark performance
- Cisco UCS C460 M4 Rack Server set new world-record SPECjbb®2013 MultiJVM 4-socket max-jOPS performance result.
- Cisco UCS B260 M4 Blade Server claimed a new world-record SPECjbb®2013 MultiJVM 2-socket x86/64 max-jOPS performance result
Let’s take a closer look at each of these world-record benchmark performance results:
1. World-Record: Fastest Two-Processor Result for SAP
Cisco UCS B260 M4 blade servers delivered the best 2-processor SAP Sales and Distribution (SD) Benchmark result, in a two-tier configuration, with performance accelerated by Cisco UCS Invicta™ Series Solid State Systems. The Cisco UCS B260 M4 Blade Server running Microsoft Windows Server 2012 delivered a world-record two-tier SAP SD Benchmark result on SAP Enhancement Package 5 for SAP ERP 6.0 and Microsoft SQL Server 2012. The solution supported 12,280 SAP SD Benchmark users while maintaining a consistent application response time of less than one second. Published results can be found on the SAP website at http://global.sap.com/solutions/benchmark/sd2tier.epx, SAP SD Benchmark Result Certificate Number 2014018.
Cisco UCS B260 M4 delivered a SAPS score of 67,020. This result is an 18 percent improvement over the 54,700 SAPS score delivered by IBM x3690 X5 servers configured with previous-generation processors and a 22 percent improvement over an IBM FlexSystem p260 running two IBM POWER 7+ processors as reflected in the graph below:
Check out the Performance Brief for additional information on the benchmark configuration. The detailed official benchmark disclosure report is available at the SAP website.
2. The Same Processors: Greater SPECjbb2013 Performance with the Cisco UCS C460 M4
Cisco UCS C460 M4 Rack Server captured the top 4-socket MultiJVM score for maximum Java operations (max-jOPS) with results of 201,117 max-jOPS and 52,784 critical-jOPS.
The test configuration consisted of a controller and four groups, each consisting of a transaction injector and back end, all running across nine JVM instances within a single operating system image. The JVM instances ran on a Cisco UCS C460 M4 Rack Server powered by four 2.8-GHz, 15-core Intel Xeon processor E7-4890 v2 CPUs running the Red Hat Enterprise Linux (RHEL) 6.5 operating system and 64-bit Oracle Java HotSpot Virtual Machine (VM) server on Linux Version 1.8.0.
The benchmark results of 201,117 max-jOPS and 52,784 critical-jOPS place the Cisco UCS C460 M4 at the top of the max-jOPS scores for 4-socket servers running multiple JVMs and outperforms the Dell PowerEdge R920 and HP ProLiant DL580 Gen8 servers, as shown in the graph below:
Check out the Performance Brief for additional information on the benchmark configuration. The detailed official benchmark disclosure report is available at spec.org website.
3. Cisco Improves Performance by Up to 47 Percent in World-Record SPECjbb2013 Results
Cisco UCS B260 M4 Blade Server captured the top 2-socket x86/64 MultiJVM score for maximum Java operations (max-jOPS) with results of 91,499 concurrent Java operations per second and 30,021 concurrent critical Java operations per second on SPECjbb2013.
The Cisco configuration consisted of a controller and two groups, each consisting of a transaction injector and back end, all running across multiple JVM instances within a single operating system image. The JVM instances ran on a Cisco UCS B260 M4 Blade Server powered by two 2.8-GHz, 15-core Intel Xeon processor E7-4890 v2 CPUs running the Red Hat Enterprise Linux (RHEL) 6.4 operating system and Oracle Java HotSpot 64-Bit Server Virtual Machine (VM) on Linux Version 1.8.0.
The benchmark result of 91,499 max-jOPS and 30,021 critical-jOPS places the Cisco UCS B260 M4 at the top of the max-jOPS scores for 2-socket x86/64 servers running multiple JVMs delivering a 47 percent increase in SPECjbb®2013 max-jOPS and a 28 percent increase in critical-jOPS compared to Cisco’s recent results with the Intel Xeon processor E5 v2 powered servers as depicted in the graph below:
Check out the Performance Brief for additional information on the benchmark configuration. The detailed official benchmark disclosure report is available at spec.org website.
These results join the more than 90 previous world-record performance results set by Cisco UCS since it was announced five years ago. Many of these world-record results use real-world workloads, including business applications, Java middleware, database performance, high-performance computing, and virtualized and cloud computing environments. Check out the Cisco UCS Performance Benchmarks website for additional details.
For additional information on Cisco UCS and Cisco UCS solutions please visit Cisco Unified Computing & Servers web page.
Competitive claims based on results posted at http://www.spec.org/, and at http://www.cisco.com/c/en/us/products/servers-unified-computing/industry_benchmarks.html as of 05/29/2014. SPEC and SPECjbb are trademarks or registered trademarks of Standard Performance Evaluation Corporation.
SAP Results referenced are from the SAP website at http://global.sap.com/solutions/benchmark/sd2tier.epx and are current as of 5/29/2014: Cisco UCS B260 M4, 2 Processors / 30 Cores / 60 Threads, Intel Xeon Processor E7-4890 v2, 2.8 Ghz, 64 KB L1 cache and 256 KB L2 cache per core, 37.5 MB L3 cache per processor, 512 GB of main memory, Microsoft Windows Server 2012 Datacenter Edition, Microsoft SQL Server 2012, and SAP Enhancement Package 5 for SAP ERP 6.0; certification number 2014018, IBM Flex System p260 Compute Node, 2 processors, 16 cores, 64 threads, IBM POWER7+, 4.10 GHz, 32-KB (I) and 32-KB (D) L1 cache and 256-KB L2 cache per core, 10- MB L3 cache per core, 256 GB of main memory, IBM AIX 7.1, IBM DB2 10, and SAP Enhancement Package 5 for SAP ERP 6.0; certification number 2012035, IBM System x3690 X5, 2 processors, 20 cores, 40 threads, Intel Xeon processor E7-2870, 2.40 GHz, 64- KB L1 cache and 256-KB L2 cache per core, 30-MB L3 cache per processor, 256 GB of main memory, Microsoft Windows Server 2008 Enterprise Edition, IBM DB2 9.7, and SAP Enhancement Package 4 for SAP ERP 6.0; certification number 2011032
Senior Marketing Manager,
Unified Computing System
Tags: Cisco UCS, enterprise applications, Performance Benchmarks, Perofrmance Leadership, SAP SD, SPEjbb2013
Introducing New Adapter for Cisco UCS Manager, Lightweight Java Client, Multi-domain AD/LDAP Authentication & Runtime User Support for TES Workgroups
Managing and automating mission-critical business process is key to the success of your enterprise. By managing the delivery of the right data to the right application at the right time you can ensure that everyone in your organization has the information they need to be successful.
End-to-end Workload Management with Tidal Enterprise Scheduler (TES) 6.2
With the release of TES 6.2, Cisco continues its leadership in workload automation (WLA) and job scheduling. With hundreds of in-production customers, running complex workloads for global trading exchanges, manufactures, health care providers and technology companies, Cisco TES has proven itself in some of the most demanding data centers in the world.
Already known and cited by analysts and customers for its ease-of-use, ease-of-installation, scalability and enterprise-wide visibility, Cisco TES 6.2 ships with major performance enhancements, added user management flexibility and greater infrastructure management reach. Enhancements in this release include:
Adapter for Cisco UCS Manager
The Enterprise Adapter for UCS Manager allows users to schedule UCS Manager component infrastructure jobs through Cisco TES so that users can leverage the scheduler’s capabilities to automate, simplify, and improve job scheduling and workload performance. The UCS Manager Adapter integrates with UCS Manager using the XML API and provides for the automation of UCS Manager activities for blade and rack-mount server management in the form of UCS Manager jobs. This allows you to control and manages server instances as part of an overall infrastructure and data processing workload management solution.
Job Definitions for Cisco UCS Manager
Lightweight Java Client
For power users who are managing thousands of workloads and their associated objects in their database, the Java client syncs data directly from the Master, but it is many times faster than the client manager because all data is stored in-memory on the Java VM rather than to an external database. Many interactions through the Java client will see marked increases in performance including smooth scrolling with zero latency and faster search and filtering.
Lightweight Java Client for TES 6.2
Flexible Security Feature
For large enterprises that segment globally or for any user who creates domains for their data center, Cisco TES now supports multi-domain coverage from a single client manager allowing greater flexibility and ease of use. And for greater runtime flexibility, Cisco TES allows users to associate runtime users to workgroups to be used while defining the workloads.
Cisco TES and Big Data
TES supports end-to-end workloads that include Big Data business processes. This release strengthens our support for Apache Hadoop, Cloudera as well as MapR. If you are traveling to San Jose for the Hadoop Summit next week stop by our booth (Cisco is a Platinum Sponsor) to see the latest Cisco solution designed specifically for the Hadoop platform. See Scott Ciccone‘s blog post for more details.
June 3-5, 2014 –San Jose, California
For more on the TES 6.2 release visit http://www.cisco.com/go/workloadautomation
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Tags: Big Data, Cisco IT, Cisco UCS, Cisco Unified Management, inside cisco it, software, Tidal Enterprise Scheduler, unified management, workload automation
Big Data remains one of the hottest topics in the industry due to the actual dollar value that businesses are deriving from making sense from tons of structured and unstructured data. Virtually every field is leveraging a data-driven strategy as people, process, data and things are increasing being connected (Internet of Everything). New tools and techniques are being developed that can mine vast stores of data to inform decision making in ways that were previously unimagined. The fact that we can derive more knowledge by joining related information and recognizing correlations can inform and enrich numerous aspects of every day life. There’s a good reason why Big Data is so hot!
This year at Hadoop Summit, Cisco invites you to learn how to unlock the value of Big Data. Unprecedented data creation opens the door to responsive applications and emerging analytics techniques and businesses need a better way to analyze data. Cisco will be showcasing Infrastructure Innovations from both Cisco Unified Computing System (UCS) and Cisco Applications Centric Infrastructure (ACI). Cisco’s solution for deploying big data applications can help customers make informed decisions, act quickly, and achieve better business outcomes.
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution, based on Cisco UCS, to support our customers’ big data initiatives. Taking advantage of Cisco UCS’s Fabric based infrastructure, Cisco can apply significant advantage to big data workloads.
Read More »
Tags: ACI, Big Data, blade server, Blade Servers, Cisco UCS, Cisco UCS C240 M3 Rack Server, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cloudera, Hadoop, Hortonworks, MapR, rack server, UCS Central, UCS service profiles
I’ve been in this industry for more than three decades, and so I’ve experienced every data center technology breakthrough and market transformation in that time. We drove a market disruption ourselves with the introduction of Cisco Unified Computing System (UCS) in 2009, and after just five years, we have more than 33,000 customer-proven results.
Now, we’re doing it again, but this time it’s different.
We are in the midst of the next major inflection point, driven by a new wave of applications. With the swipe of a finger, users can download an endless array of useful apps to their smart phones, tablets, and even wearable gadgets. We bring our personal devices with us to work, expecting the IT department to deliver the same access and ease of use on the business side.
This consumerization of IT puts end users in the driver’s seat. Scrambling to meet growing consumer and employee expectations, organizations in both the public and private sectors have demands of their own when it comes to next-generation data center capabilities and improved outcomes. Applications need holistic compute solutions, not just plain old servers. The explosive growth of mobility, social media, collaboration, the Internet of Everything (IoE), and big data means their applications need to scale up and out.
Now applications must be serviced by compute solutions that can integrate performance needs, handle large data sets, and scale as needed while reducing operational complexity and OpEx budgets. The requirements of these complex business applications are defining the infrastructure—not the other way around—because now more than ever, application performance translates into business results. This requires fresh innovation in designing an integrated infrastructure that is highly responsive to business and IT needs, while keeping data center budgets from spinning out of control.
At Cisco Live, I’ll show you how we’re driving a market disruption once again, this time with our breakthroughs in compute solutions that we didn’t think were possible just a few years ago. Technology leaders agree that Cisco UCS and Cisco Application Centric Infrastructure (ACI) deliver solutions that put IT managers back in the driver’s seat, able to meet user demands, where applications are no longer constrained by the data center infrastructure.
I look forward to seeing you in San Francisco.
Tags: ACI, application centric infrastructure, Big Data, Cisco, Cisco UCS, IoE, mobility, UCS