co-written with Richard Jacobik
Cisco recently started shipping the newest member to the UCS family – the storage-optimized UCS C3260 Rack Server. Data centers these days are bursting at the seams with unstructured data from new emerging applications and services. According to IDC, 80% of data is unstructured and continues to grow at a 16.2% CAGR. The ability for data centers to economically and rapidly ingest, index, analyze, and archive all this data is top of mind.
Cisco first introduced the C3000 family of storage optimized UCS rack servers in 2014 with the launch of the UCS C3160 rack server last fall. While on the surface the two servers models may look Read More »
Tags: Big Data, C3000, C3160, Cisco UCS, data center, data storage, object storage, software defined storage, Storage, storage server, UCS
We made it…another successful Strata-Hadoop World show for Cisco’s Big Data & Analytics team. This year we had a few unique challenges – the Pope was leaving town when we arrived; then the UN General Assembly made traffic a bit more difficult than normal; finally towards week’s end the threat of ‘The Hurricane’ for the East Coast…
Cisco had an active presence at Strata this year with several newsworthy and interesting highlights:
• Introducing Cisco Data Preparation. Cisco Data Preparation (Data Prep) makes it easy for non-technical business analysts to gather, explore, cleanse, combine and enrich the data that fuels analytics. Read Kevin Ott’s Data Prep blog here. Read More »
Tags: Big Data, Cisco, Cisco Data Preparation, Cisco Data virtualization, Cisco UCS, Cloudera, Hortonworks, IBM, IBM BigInsights, Integrated infrastructure, Intel, MapR, nexus, Splunk, Splunk Enterprise, versastack
You’ve seen the data points: 30 million new devices connected to the Internet each week. A whopping 50 billion connected by 2020. This surge of connectivity – driven largely by the Internet of Everything – is creating vast new opportunities for digitization as industries transform.
This tidal wave of connected devices is also reshaping the data center. Why? Because every single thing connected to the Internet has a MAC and IP address, and this enormous growth will unleash more addresses than anyone can imagine. These addresses need, feed, and breed applications, whether by running an app or providing it data. And as this happens at an exponential scale, the data center becomes the key to making it all work.
We know that the applications will be everywhere, and that’s a good thing. Apps will continue to be in the enterprise data center – the private cloud—where they’ve been running for a long time. And they’ll run in cloud-based data centers. They’ll also run at the edge – whether the edge is a branch office, your home, or even a part of your body.
For applications to perform optimally no matter where they are, the infrastructure has to understand the language of applications. We have to teach it. And this is where policy comes in. For us, policy is teaching the infrastructure the language of the application so that the application can tell the infrastructure, “Here is what I need to run at my best.”
This is an area where Cisco has a lot of skin in the game. After all, no one knows Data Center infrastructure better than we do.
Read More »
Tags: ACI, Cisco, Cisco UCS, data center, SDN
The Cisco UCS® C220 M4 Rack Server continues its tradition of Industry leadership with the latest announcement of the first top 2-socket performance for max- jOPS in a multiple–Java virtual machine (JVM) environment ahead of other vendors.
Some of the key highlights of Cisco’s new SPECjbb2015 benchmark results are:
- Cisco UCS C220 M4 server delivered a performance record of 92,463 SPECjbb2015 MultiJVM max-jOPS with 31,654 SPECjbb2015 MultiJVM critical-jOPS
- Cisco UCS C220 M4 Rack Server posted the best 2-Socket SPECjbb2015 Benchmark Result Ever for Multi-JVM max-jOPs.
- Cisco posted the first top 2-socket Multi-JVM max-jOPs performance result on the new SPECjbb2015 benchmark ahead of other vendors.
The benchmark configuration consisted of the benchmark controller, back-end, and transaction injector functions, each running on its own JVM. The JVM instances ran on a Cisco UCS C220 M4 Rack Server powered by two 18- core Intel Xeon processor E5-2699 v3 CPUs running a single instance of Red Hat Enterprise Linux (RHEL) Server 6.5 and 64-bit Oracle Java HotSpot Server Virtual Machine (VM) 1.8.0_60. Check out the Performance Brief for additional information on the benchmark configuration. The detailed official benchmark disclosure report is available at the SPECjbb2015 Website.
The new SPECjbb2015 benchmark has enhancements that align with the changes that you are experiencing in your own IT organization—thus giving you a more accurate capacity measurement than previous versions of the benchmark.
Let’s take a look at what this UCS C220 M4 SPECjbb2015 performance result means for the end users and customers…
When you choose Cisco UCS servers, customers benefit from the performance and rapid deployment capabilities of Cisco UCS.
Additionally you gain business advantages such as:
Accelerated response: Cisco tunes the chip sets and servers for specific workloads. With high-performance processors, large and fast memory configurations, and efficient use of Intel Turbo Boost Technology, the Cisco UCS C220 M4 delivers low latency and server optimization to JVMs.
Increased scalability: The benchmark results show that the Cisco UCS C220 M4 delivers excellent scalability to JVMs and applications.
Data center simplification: Cisco UCS delivers the scalability needed for large Java application deployments. The dramatic reduction in the number of physical components results in a system that makes effective use of limited space, power, and cooling resources by deploying less infrastructure to perform the same, or even more work.
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.
SPEC and SPECjbb are registered trademarks of Standard Performance Evaluation Corporation. The performance record described in this document was valid based on results posted at http://www.spec.org as of September 23, 2015.
Tags: Cisco UCS, Cisco UCS Performance, SPECjbb2015
In December 2014, we announced VersaStack, an integrated infrastructure reference solution for enterprise applications that combines technologies from Cisco and IBM. Further extending this partnership, today we are announcing support for IBM BigInsights for Apache Hadoop on our Cisco UCS Integrated infrastructure for Big Data – an industry-leading platform widely adapted for enterprise big data application deployments. The joint solution encompasses disruptive innovations in Cisco UCS and the robust and industry-compatible Apache Hadoop distribution from IBM. This solution can be installed as a standalone Hadoop cluster with powerful analytical tools or can be integrated into existing VersaStack deployments that will benefit from a common fabric and unified management capabilities to deliver the deepest possible insight into your data to help you gain a sustainable competitive advantage.
We are also announcing the availability of Cisco Validated Design (CVD) that provides step by step design guidelines comprehensively tested and documented to help ensure faster, more reliable and predictable deployments at lower total cost of ownership.
- Combines innovations from Cisco UCS such as programable infrastructure with best of open source software with enterprise-grade capabilities in IBM BigInsights for Apache Hadoop
- Designed and optimized for common use cases, pre-tested, pre-validated and fully documented by Cisco and IBM engineers to ensure dependable deployments that can scale from small to very large as workload demands
- Provides enterprises with extensive platform management and data visualization capabilities and integration of big data with other information solutions to help enhance data manipulation and management tasks
- Brings the power of SQL to Hadoop at the performance and scale ever than before accelerating data science and analytics leveraging SQL – arguably the most beautiful programming language – and integration with business applications to access data stored in HDFS and HBase with JDBC and ODBC
- Deep technical expertise, global resources, and world-class support and services from Cisco, IBM and partners
This solution is built on Cisco UCS infrastructure using Cisco UCS 6200 Series Fabric Interconnects and Cisco UCS C-Series Rack Servers optimized for IBM BigInsights for Apache Hadoop with scalability to thousands of nodes with Cisco Nexus 9000 Series Switches:
For more information, please visit:
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Tags: Apache Hadoop, Big Data, Cisco UCS, data center, IBM, IBM BigInsights, versastack