Big Data is not just about gathering tons of data, the digital exhaust from the internet, social media, and customer records. The real value is in being able to analyze the data to gain a desired business outcome.
Those of us who follow the Big Data market closely never lack for something new to talk about. There is always a story about how a business is using Big Data in a different way or about some new breakthrough that has been achieved in the expansive big data ecosystem. The good news for all of us is, we have clearly only scratched the surface of the Big Data opportunity!
With the increasing momentum of the Internet of Everything (IoE) market transition, there will be 50 billion devices connected to the Internet by 2020—just five years from now. As billions of new people, processes, and things become connected, each connection will become a source of potentially powerful data to businesses and the public sector. Organizations who can unlock the intelligence in this data can create new sources of competitive advantage, not just from more data but from better access to better data.
What we haven’t heard about – yet—are examples of enterprises that are applying the power of this data pervasively in their organizations: giving them a competitive edge in marketing, supply chain, manufacturing, human resources, customer support, and many more departments. The enterprise that can apply the power of Big Data throughout their organization can create multiple and simultaneous sources of ongoing innovation—each one a constantly renewable or perpetual competitive edge. Looking forward, the companies that can accomplish this will be the ones setting the pace for the competition to follow.
Cisco has been working on making this vision of pervasive use of Big Data within enterprises a reality. We’d like to share this vision with you in an upcoming blog series and executive Webcast entitled, ‘Unlock Your Competitive Edge with Cisco Big Data Solutions’, that will air on October 21st at 9:00 AM PT.
I have the honor of kicking off the multi-part blog series today. Each blog will focus on a specific Cisco solution our customers can utilize to unlock the power of their big data – enterprise-wide-- to deliver a competitive edge to our customers. I’m going to start the discussion by highlighting the infrastructure implications for Big Data in the internet of Everything (IoE) era and focus on Cisco Unified Computing System initially.
Enterprises who want to make strategic use of data throughout their organizations will need to take advantage of the power of all types of data. As IoE increasingly takes root, organizations will be able to access data from virtually anywhere in their value chain. No longer restricted to small sets of structured, historical data, they’ll have more comprehensive and even real-time data including video surveillance information, social media output, and sensor data that allow them to monitor behavior, performance, and preferences. These are just a few examples, but they underscore the fact that not all data is created equally. Real-time data coming in from a sensor may only be valuable for minutes, or even seconds – so it is critical to be able to act on that intelligence as quickly as possible. From an infrastructure standpoint, that means enterprises must be able to connect the computing resource as closely as possible to the many sources and users of data. At the same time, historical data will also continue to be critical to Big Data analytics.
Cisco encourages our customers to take a long-term view—and select a Big Data infrastructure that is distributed, and designed for high scalability, management automation, outstanding performance, low TCO, and the comprehensive, security approach needed for the IoE era. And that infrastructure must be open—because there is tremendous innovation going on in this industry, and enterprises will want to be able to take full advantage of it.
One of the foundational elements of our Big Data infrastructure is the Cisco Unified Computing System (UCS). UCS integrated infrastructure uniquely combines server, network and storage access and has recently claimed the #1, x86 blade server market share position in the Americas. It’s this same innovation that propelled us to the leading blade market share position that we are directly applying to Big Data workloads. With its highly efficient infrastructure, UCS lets enterprises manage up to 10,000 UCS servers as if they were a single pool of resources, so they can support the largest data clusters.
Because enterprises will ultimately need to be able to capture intelligence from both data at rest in the data center and data at the edge of the network, Cisco’s broad portfolio of UCS systems gives our customers the flexibility to process data where it makes the most sense. For instance, our UCS 240 rack system has been extremely popular for Hadoop-based Big Data deployments at the data center core. And Cisco’s recently introduced UCS Mini is designed to process data at the edge of the network.
Because the entire UCS portfolio utilizes the same unified architecture, enterprises can choose the right compute configuration for the workload, with the advantage of being able to use the same powerful management and orchestration tools to speed deployment, maximize availability, and significantly lower your operating expenses. Being able to leverage UCS Manager and Service Profiles, Unified Fabric and SingleConnect Technology, our Virtual interface card technology, and industry leading performance really set Cisco apart from our competition.
So, please consider this just an introduction to the first component of Cisco’s “bigger”, big data story. To hear more, please make plans to attend our upcoming webcast entitled, ‘Unlock Your Competitive Edge With Cisco Big Data Solutions’ on October 21st.
Every Tuesday and Thursday from now until October 21st, we’ll post another blog in the series to provide you with additional details of Cisco’s full line of products, solutions and services.
The last several months have been a roll with several customers, channel partner and technology partner engagements. With the ACI starter kits and lab bundles shipping, customers can bring this solution into their labs and subsequently into their production Pods with the Application Policy Infrastructure Controller (APIC) and the Nexus switching platforms. We see a healthy interest in these kits with customers as they explore its SDN capabilities. Several ecosystem partners like F5 and Citrix have started to ship device packages. We just came off a company wide sales conference at Las Vegas a couple of weeks ago that was hugely energizing. Policy as a means to drive automation, security and scale is now the major focus area for SDN as outlined originally by Cisco as more industry vendors now endorse the vision as evidenced by initiatives like OpenStack Congress. Investment protection continues to be a major Overall the new fiscal year promises to be an exciting one.
Soni Jiandani on SDN Central -- Click for Q&A
Following up on the Unleashing IT magazine (ACI special edition) released last month, I wanted to share the momentum we’re experiencing with customers and partners as the acceleration continues. As John Chambers had outlined during the last earnings call, the adoption rate has been off to a tremendous start with some of the customers and partners featured in the video above.
We also continue to take the opportunity to answer questions as the vision around ACI continues to crystallize and rapidly evolves from concept to hard reality. This week we took the opportunity to have a Q&A session with SDN central. Soni Jiandani, SVP of Insieme Networks Business Unit at Cisco led the conversation. The featured interview can be accessed here. Soni crisply articulates the ACI value proposition while addressing some of the top of mind questions that come from the media.
If you follow the news in the world of data center you probably noticed a small announcement from Cisco last week regarding the UCS portfolio… :)
To net it out in a simple way, I’ve been telling people that the trail of innovation that Cisco has been blazing with UCS just got a lot wider. That’s because this rollout is all about three key vectors that our customers have guided us to expand on:
Edge-Scale computing: taking UCS to the growing sources of computing demand beyond the core data center and to smaller scale IT organizations with UCS Mini
Padma Warrior and Joe Inzerillo discuss how technology is transforming the #MLB fan experience.
We had a stellar lineup at the event in New York. Our CTO, Padma Warrior, headlined and did a fantastic job setting the context for this wave of innovation in the frame of IoE and Fast IT. Paul Perez followed, explaining the sea change occurring in the application landscape and the customer imperatives guiding development of the UCS platform. Finally, Satinder Sethi stepped us through all the new technology we’ve added to the portfolio. Frank Palumbo hosted the event for us in New York, and I think it’s no coincidence he was rewarded later in the day by a thrilling walk-off win by the Yankees. Note that my last link there is to MLB.com, whose CTO, John Inzerillo, joined our event to share all the cool fan experience technology they’re developing.
I’d like to thank our #CiscoChampions for joining us at the event and bringing their unique and (trust me) unfiltered perspective to the news. Another highlight for me was the opportunity to tour the MLB Advanced Media Center with Matt Eastwood of IDC who joined us in New York to moderate a panel on scale-out computing. Matt, so sorry about the results of the Yankees/Red Sox game…it’s tough to overcome Palumbo-level karma. Having several of our customers and partners at the event really rounded it out, making a special day for everyone that joined us in New York and in the streaming sessions.
Jim Leach (L) and Tech Field Day panel of Cisco Champions.
To hit on all the details, the team has taken a divide-and-conquer approach here on the blog as well as youtube and our other social media venues. In addition to the links above, here are some of the pieces you can check out to learn more. Scanning the #USCGrandSlam hashtag on Twitter is another good way to take a look at the news and reactions.
We have a number of exciting additions to the UCS family, which we are announcing today. Application architectures are fundamentally changing, which is driving a change to the core infrastructure. Today, you will hear about new innovations in the area of scale-out computing, which are optimized for the delivery of new applications, data analytics and the scale that is required to support these apps.
As part of this announcement, we are delivering significant innovations around what I’ll call the core data center applications. Put another way, these are the more traditional applications that keep the business running and keep employees productive. Cisco is announcing our fourth generation of our workhorse two-socket blade and rack systems as well as a broad set of enhancements to UCS Management.
Over the past five years, when I ask customers why they purchased UCS, it comes down to two key areas: more power to drive applications faster and simplified management, which accelerates IT operations. Let’s talk first about the core data center platforms and the new innovations there. Once again, Cisco is raising the bar on “enterprise class” stateless computing and performance. Today, we’re announcing the Cisco UCS M4 series, which are optimized for the widest set of enterprise use cases. Delivered through the new UCS B200 M4, C220 M4 and C240 M4, Cisco continues to deliver the highest performance CPUs, maximum memory and highest I/O performance. Besides support for fastest and highest core count and memory, we have added significant flexibility to the platforms via modular LAN-on-motherboard (LOM), Modular HBAs and Flex Storage options.
In addition to the M4 generation of servers we are introducing our 3rd gen VIC technology. This generation brings native 40Gb and advanced networking features such as NVGRE and VxLAN to UCS. The latest VIC will also enable ultra low latency RDMA capabilities.. As really fast flash storage becomes mainstream and clustered applications gain popularity, high bandwidth, low latency interconnect technology will be required for applications to see the full benefit of performance improvements. With this technology, applications requiring low latency can see up to an 85% improvement without the complexity of building Infiniband fabrics.
As much as we like talking about performance (and believe me, we like that a lot), the biggest innovation UCS brought to the datacenter was a dramatically simplified management paradigm with our UCS Management portfolio. Today, we’re announcing the addition of the software programmable ACI fabric through the Nexus 9000 and APIC into UCS Director. UCS Director is also delivering a software development kit and open API to accelerate third party integration with Cisco’s technology partners.
Finally, we are delivering new application container support within UCS Director, which provides both virtual and bare metal isolation of workloads, automated with UCS Director. Users simply request a container for a particular set of application components and UCS Director deploys the necessary infrastructure configuration required. Taken together, UCS Director becomes an even more robust control point for IT infrastructure as IT customers can now request application services and have computing, storage and networking services (such as firewalling or Layer 4-7 switching) delivered across a programmable networking fabric.
Taken along with the M-series and the UCS C3160, this announcement represents a huge step forward in the UCS portfolio to enable customers to move faster into the new application paradigm while still supporting their core data center applications.
Cisco IT has already started reaping the benefits of Application Centric Infrastructure (ACI) from our early internal deployments. Cost savings rank high, in decreased operating expenditures through automation enabled by ACI and the sharp reduction of manual processes that introduce human errors and operational risk. Read More »