I could not have asked for a better start to the New Year. 2014 was quick off the starting blocks with January already setting the tone for the rest of the year as momentum continues to pick up in data center and cloud networking. Here are some highlights of the state of the business, new product introductions and additions to the ACI partner ecosystem -
- ACI customer traction continues to get stronger; Ecosystem continues to add new members
Cisco Live! in Milan provided first-hand evidence of the strong interest from customers to learn more about Cisco’s Application Centric Infrastructure (ACI). Customer briefing sessions were packed and demos in the World of Solutions had strong interest. Hundreds of customers are engaged in proof-of-concepts just in the first 30 days. Select customers have been provided the Application Policy Infrastructure Controller (APIC) simulator to get them early exposure and help harden the APIC ahead of its general availability targeted for Q2 this year.
The open architecture of the APIC means that it is easier for new technology partners to come on board and integrate. New members coming on board the ACI ecosystem include A10 networks, Cloudera, MapR and Catbird. Expect solution data sheets to be made available closer to the APIC availability.
Watch Soni Jiandani provide details of the momentum building around ACI -
The vision of ACI was also extended to Campus and WAN environments with the announcement of the APIC Enterprise module. Stay tuned for more on this space.
- Nexus 9000 continues to break new records – Miercom and Lippis test reports available
The Nexus 9000 has been shipping since Q4 of 2013 and is already breaking new records. Miercom released a report that detailed how the Nexus 9500 is offering the highest performance and lowest latency in 40GbE competitive studies. This supplements test reports released here earlier by Lippis and Ixia that focus on performance, availability, power efficiency and programmability.
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Tags: A10 Networks, ACI, APIC, Catbird, Cloudera, David Yen, F3 module, InterCloud, MapR, Neil Lock, Nexus 3100, Nexus 5600, Nexus 7700, Nexus 7706, Soni Jiandani, Unified Ports, VXLAN
Industry’s first reference architecture for Hadoop with advanced access control and encryption with IDH, first flash-enhanced reference architecture for Hadoop demonstrated using YCSB with MapR, industry’s first validated and certified solution for real-time Big Data analytics with SAP HANA, and Unleashing IT big data special edition
Built up on our vision of shared infrastructure and unified management for enterprise applications, the Cisco UCS Common Platform Architecture (CPA) for Big Data has become a popular choice for enterprise Big Data deployments. It has been widely adopted in finance, healthcare, service provider, entertainment, insurance, and public sectors. The new Cisco UCS CPA V2 improves both performance and capacity featuring Intel Xeon E5-2600 v2 family of processors, industry leading storage density, and industry’s first transparent cache acceleration for Big Data.
The Cisco UCS CPA v2 offers a choice of infrastructure options, including “Performance Optimized”, “Balanced”, “Capacity Optimized”, and “Capacity Optimized with Flash” to support a range of workload needs.
Up to 160 servers (3200 cores, 7.6PB storage) are supported in single switching/UCS domain. Scaling beyond 160 servers can be implemented by interconnecting multiple UCS domains using Nexus 6000/7000 Series switches, scalable to thousands of servers and to hundreds of petabytes storage, and managed from a single pane using UCS Central in a data center or distributed globally.
The Cisco UCS CPA v2 solutions are available through Cisco UCS Solution Accelerator Paks program designed for rapid deployments, tested and validated for performance, and optimized for cost of ownership: Performance Optimized half-rack (UCS-SL-CPA2-P) ideal for MPP databases and scale-out data analytics, Performance and Capacity Balanced rack (UCS-SL-CPA2-PC) ideal for high performance Hadooop and NoSQL deployments, Capacity Optimized rack (UCS-SL-CPA2-C) when capacity matters, and Capacity Optimized with Flash rack (UCS-SL-CPA2-CF) offers industry’s first transparent caching option for Hadoop and NoSQL. Start with any configuration and scale as your workload demands.
Cisco supports leading Hadoop and NoSQL distributions, including Cloudera, HortonWorks, Intel, MapR, Oracle, Pivotal and others. For more information visit Cisco Big Data Portal, and Big Data Design Zone that offers Cisco Validated Designs (CVD) -- pretested and validated architectures that accelerate the time to value for customers while reducing risks and deployment challenges.
Cisco UCS Common Platform Architecture Version 2 for Big Data
Cisco Launches the First Flash-Enhanced Solution for Hadoop
Simplifying the Deployment of Real-time Big Data Analytics — UCS + SAP HANA
Also see Maximizing Big Data Benefits with MapR and Informatica on Cisco UCS
Tags: Cisco UCS CPA, Cisco UCS Solution Accelerator Paks, Cloudera, Hortonworks, Intel Hadoop, MapR, Pivotal HD, SAP. HANA
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
Cisco UCS Common Platform Architecture (CPA) for Big Data offers a comprehensive stack for enterprise Hadoop deployments. Today we announce the availability of Cisco Validated Design (CVD) for Cloudera (CDH) that describes the architecture and deployment procedures, jointly tested and certified by Cisco and Cloudera to accelerate deployments while reducing the risks, complexity, and total cost of ownership.
Together, Cisco and Cloudera are well positioned to help organizations exploit the valuable business insights found in all their data, regardless of whether it’s structured, semi structured or unstructured. The solution offers industry-leading performance, scalability and advanced management capabilities to address the business needs of our customers.
The rack level configuration detailed in the document can be extended to multiple rack scale. Up to 160 servers (10 racks) can be supported with no additional switching in a single UCS domain. Scaling beyond 10 racks can be implemented by interconnecting multiple UCS domains using Nexus 6000/7000 Series switches, scalable to thousands of servers and to hundreds of petabytes storage, and managed from a single pane using UCS Central.
We would like to invite you to our upcoming Journey to Big Data Roadshow in a city near you, designed to help you identify where you are on your Big Data journey, and how to keep that journey going in a low-risk, productive way.
1. Cisco UCS CPA for Big Data with Cloudera
2. Flexpod Select for Hadoop with Cloudera
3. Cloudera Enterprise with Cisco Unified Computing System (solution brief)
Tags: Cisco UCS CPA, Cloudera, CPA, Hadoop, Journey to Big Data
Speed is everything. Continuing our commitment to make data center infrastructures more responsive to enterprise applications demands, today, we announced FlexPod Select with Hadoop, formerly known as NetApp Open Solution for Hadoop, broadening our FlexPod portfolio. Developed in collaboration between Cisco and NetApp, offers an enterprise-class infrastructure that accelerates time to value from your data. This solution is pre-validated for Hadoop deployments built using Cisco 6200 Series Fabric Interconnects (connectivity and management), C220 M3 Servers (compute), NetApp FAS2220 (namenode metadata storage) and NetApp E5400 series storage arrays (data storage). Following the highly successful FlexPod model of pre-sized rack level configurations, this solution will be made available through the well-established FlexPod sales engagement and channel.
The FlexPod Select with Hadoop architecture is an extension of our popular Cisco UCS Common Platform Architecture (CPA) for Big Data designed for applications requiring enterprise class external storage array features like RAID protection with data replication, hot-swappable spares, proactive drive health monitoring, faster recovery from disk failures and automated I/O path fail-over. The architecture consists of a master rack and optionally up to nine expansion racks in a single management domain, creating a complete, self-contained Hadoop cluster. The master rack provides all of the components required to run a 12 node Hadoop cluster supporting 540TB storage capacity. Each additional expansion rack provides an additional 16 Hadoop cluster nodes and 720TB storage capacity. Unique to this architecture is seamless management integration and data integration capabilities with existing FlexPod deployments that can help to significantly lower the infrastructure and management costs.
FlexPod Select has been pretested and jointly validated with leading Hadoop vendors, including Cloudera and Hortonworks.
Tags: Big Data, Cloudera, CPA, FlexPod, FlexPod Select, Hadoop, Hortonworks, netapp