Huge amounts of information are flooding companies every second, which has led to an increased focus on big data and the ability to capture and analyze this sea of information. Enterprises are turning to big data and Apache Hadoop in order to improve business performance and provide a competitive advantage. But to unlock business value from data quickly, easily and cost-effectively, organizations need to find and deploy a truly reliable Hadoop infrastructure that can perform, scale, and be used safely for mission-critical applications.
As more and more Hadoop projects are being deployed to provide actionable results in real-time or near real-time, low latency has become a key factor that influences a company’s Hadoop distribution choice. Thus, performance and scalability should be evaluated closely before choosing a particular Hadoop solution.
The raw performance of a Hadoop platform is critical; it refers to how quickly the platform can ingest, process and analyze information. The MapR Distribution for Hadoop in particular provides world-record performance for MapReduce operations on Hadoop. Its advanced architecture harnesses distributed metadata with an optimized shuffle process, delivering consistent high performance.
The graph below compares the MapR M7 Edition with another Hadoop distribution, and it vividly illustrates the vast difference in latency and performance between these Hadoop distributions.
One particular solution that is optimized for performance is Cisco UCS with MapR. MapR on the Cisco Unified Computing System™ (Cisco UCS®) is a powerful, production-ready Hadoop solution that increases business and IT agility, supports mission-critical workloads, reduces total cost of ownership (TCO), and delivers exceptional return on investment (ROI) at scale.
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Tags: 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, Hadoop, MapR, rack server, UCS Central, UCS service profiles
#CiscoChampion Radio is a podcast series by Cisco Champions as technologists, hosted by Cisco’s Amy Lewis (@CommsNinja). This week we’re talking about UCS.
Listen to the Podcast
Cisco Champions: Robert Novak (@gallifreyen), AJ Kuftic (@ajkuftic)
Cisco Subject Matter Experts: Scott Hanson (@CiscoServerGeek)
How Scott Hanson discovered the value of UCS
Advantages of new B460 M4 Blade Server
UCS 2.1 and 2.2. firmware
When to switch to new firmware updates
When UCS is (and is not) a good fit
Tags: #CiscoChampionRadio, blade server, Cisco UCS
I recently wrote a blog titled Blade Server TCO and Architecture – You Cannot Separate Them and thought a little more on the architecture side would be a good thing.
With so much misinformation (dis-information?) about UCS running around in the ether, I thought the straight forward comparison offered here would be valuable. It is important to dispel myths and analyze reality before making the important decisions around server and networking refreshes / upgrades, which by necessity affect long term data center architecture. I hope you will find this presentation – Cisco UCS, HP and IBM – A Blade Architecture Comparison, useful in your decision making process.
For me, there are three primary drivers that differentiate the Cisco UCS architecture from everyone else’s designs and they can be divided into the buckets below:
You could, and probably should, ask what is left out? That’s pretty easy. I did not specifically call out Performance and TCO, for a good reason. If you can execute on the three bullets above like Cisco UCS does, Performance and TCO are the natural derivatives. You shouldn’t have to target them separately. It’s kind of a “If you build it, they will come” scenario. That’s why I made the statements in the TCO and Architecture blog that “…Server cost is irrelevant (to OpEx) because: changing its contribution to total TCO has a vanishingly small impact….” and “…It [architecture] is the single most important component of OpEx…” For more on this and how server cost and TCO intersect, please check out this blog – Blade Server TCO and Architecture – You Cannot Separate Them. It takes a look at the OpEx and CapEx components of TCO, and how altering either of them effects the actual total 3-year TCO. You may be surprised.
Cisco is providing trade-in credits for customers’ old generation servers and blade chassis, helping ease the transition and upgrade to a new UCS blade architecture. The UCS Advantage presentation below has more details on this fantastic program that can further enhance the already compelling TCO benefit of upgrading to Cisco UCS.
Special note: For more on the benefit that Cisco UCS delivers for I/O and throughput, I suggest a great blog by Amit Jain – How to get more SAN mileage out of UCS FI. Amit does an excellent compare / contrast of FC and FCoE technologies (“…8 Gb FC yields 6.8 Gb throughput while 10 Gb FCoE yields close to 10 Gb throughput…”).
Tags: blade architecture, blade architecture comparison, blade server, blade server architecture, blade server TCO, capex, Cisco, Cisco UCS, data center, data center TCO, HP blades, HP BladeSystem, IBM blades, IBM Flex Fabric, opex, server, server TCO, tco, technology, UCS
Intel estimates1 that one-third of the servers in production are more than four years old. At first, one might think that it is great to get this much service out of a capital investment, but the operational costs to run these outdated servers would pay for a complete technology refresh increasing performance and reliability while reducing total costs. How is this possible? With the Intel® Xeon® Processor E5-2600 v2 product family and Cisco’s Unified Computing System. Read More »
Tags: B200 M3, BL460c, blade server, Cisco, Cisco UCS, data center, datacenter, Hewlett Packard, HP, HP BL460c Gen8, Intel E5-2600, Intel Xeon, Intel Xeon E5, Ivy Bridge v2, rack server, refresh, ROI, savings, sever, tco, UCS, x86
With enough hype to rival even the most popular of Superbowl’s, Big Data experts will converge on New York City in just a couple weeks! But big data has good reason for all the hype as businesses continue to find new ways to leverage the insights derived from vast data pools that are continuing to grow at an exponential rate. A big reason for this is the ability to leverage Hadoop with the Hadoop Distributed File System and MapReduce functionality to analyze the data very quickly and provide incredibly fast queries that, although not even possible previously, can now be accomplished in minutes or less. We’ve only just begun to scratch the surface in terms of the financial returns made around Hadoop and the infrastructure to support Hadoop deployments but one thing we do know, it’s going to be big and it will continue to get bigger!
So how does Cisco fit into this picture?
Cisco is partnering with leading software providers to offer a comprehensive infrastructure and management solution to support customer big data initiatives including Hadoop, NoSQL and Massive Parallel Processing (MPP) analytics. Leveraging the advantages of fabric computing, the Cisco UCS Common Platform Architecture (CPA) delivers exceptional performance, capacity, management simplicity, and scale to help customers derive value more quickly and with less management overhead for the most challenging big data deployments.
Cisco UCS Common Platform Architecture for big data enables rapid deployment, predictable performance, and massive scale without the need for complex layers of switching infrastructure. In addition, the architecture offers unique data and management integration with enterprise applications hosted on Cisco UCS. This allows big data and enterprise applications to co-exist within a single management domain that simplifies data movement between applications and eliminates the need for unique technology silos in the data center. You can also check out my previous blog, Top Three Reasons Why Cisco UCS is a Better Platform for Big Data, to get an idea of what we’ll be sharing at the show.
Have you considered Cisco UCS for your Big Data projects? I’d like to invite you to come and hear more in a couple weeks at Strata Hadoop World in New York City. We’ll have a number of demos and experts on hand to answer all of your questions.
In addition, Cisco and Cloudera are teaming up to offer you a chance to win some exciting prizes by joining our demo crawl program. Stop by either the Cisco booth (#3) or the Cloudera booth (#403) to learn more.
Stop by and say hello and let me know if you have any comments or questions, or via twitter at @CicconeScott.
Tags: Big Data, blade server, Blade Servers, Cisco UCS, Cisco Unified Computing System, Cisco Unified Data Center, Cisco Unified Fabric, Cisco Unified Management, Cloudera, Hadoop, Hortonworks, Intel, MapR, rack server, UCS Manager, UCS service profiles