Guest post from Lori Mac Vittie (@lmacvittie) from F5 Networks
How you provision all the network things matters
Polymorphism is a concept central to object-oriented programming. The notion of polymorphism is used to extend the capabilities of a basic object, like a mammal, to specific implementations, like cats or dogs or honey badgers, even though they don’t care about such technical distinctions. A good example of this is cats and dogs, which are both of the type “mammal” but that “speak” in a different voice.
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Tags: Cisco APIC, F5, OO, SDN
Big data and analytics are changing the competitive playing field. Winners will find ways to turn unprecedented growth and complexity of big data, cloud, IoT devices and more into competitive advantage.
The Value of Big Data Integration
Big data itself can provide significant insight, impact and advantage. These outcomes can be multiplied when big data is combined with existing enterprise data or even other big data. These insights can lead to enriched customer engagement, faster new product innovation, higher returns on capital and more. The possibilities are endless. And your competition has the same objectives.
As a result, integrating big data intelligently is a challenge on nearly everyone’s short list. Three patterns of integration have formed around big data integration.
Cisco Data Virtualization is proving a key enabler, delivering many of the capabilities required. With Cisco UCS and key partners including Appfluent, Cloudera, Hortonworks, Informatica and MapR providing additional value add.
Integration Pattern 1 – Hadoop to Hadoop Integration
The Cisco Hadoop-to-Hadoop Data Integration solution provides a more agile and faster way to access and query multiple Hadoop clusters. This solution enables even “bigger” big data analytics for greater insights and business impacts.
Integration Pattern 2 – Hadoop to Enterprise Integration
The Cisco Hadoop-to-Enterprise Data Integration solution provides a more agile and faster way to bring together traditional enterprise data with the new world of big data. Accessing and querying both Hadoop and enterprise data enriches the analytic opportunities and results in better business decisions.
Integration Pattern 3 – Data Warehouse Optimization Integration
With data warehouse data doubling every two years, data warehouse costs are skyrocketing. To reduce these ever-growing warehouse management costs Cisco and Informatica recently announced a joint Data Warehouse Optimization solution.
This offering combines the hardware, software and services required to successfully offload processing and storage from data warehouses to Hadoop. Not only does it significantly reduce costs, the solution also help organizations integrate and analyze more data and types of data, and thus drive greater business impacts.
At Strata + Hadoop World last week, I discussed this new solution with Jim McHugh, VP of UCS & Data Center Solutions Marketing at Cisco.
To learn more about these solutions and how Cisco’s rich portfolio of big data and analytics solutions can help you unlock the value of your big data, check out these two on-demand seminars:
Unlock Your Competitive Edge with Cisco Big Data and Analytics Solutions
Analytics Solutions for Driving Better Business Outcomes
Join the Conversation
Follow us @CiscoDataVirt.
Learn More from My Colleagues
Check out the blogs of Mala Anand, Mike Flannagan and Nicola Villa to learn more.
Tags: Big Data, data and analytics, data integration, data virtualization, data warehouse optimization, Hadoop, UCS
Cisco Intelligent Traffic Director (ITD) is a zero latency multi-terabit layer 4 load-balancer available on 5k/6k/7k/9k. It has support for traffic steering and clustering solution on the Nexus series of switches.
ITD allows customers to deploy servers and appliances from any vendor with no network or topology changes. With a few simple configuration steps on a Cisco Nexus switches, customers can create an appliance or server cluster and deploy multiple devices to scale service capacity with ease. The servers or appliances do not have to be directly connected to the Cisco Nexus switch. ITD takes load balancing decision in a single clock cycle of the switching hardware, Hence avoiding latency altogether.
ITD supports IP-stickiness, resiliency, NAT (EFT), VIP, health monitoring, sophisticated failure handling policies, N+M redundancy, IPv4, IPv6, VRF, weighted load-balancing, bi-directional flow-coherency, and IPSLA probes including DNS. There is no service module or external appliance needed.
ITD provides order of magnitude CAPEX and OPEX savings for the customers. ITD is available on Nexus 7000/7700 series in NX-OS 6.2(10) or later. It is available for demo/EFT on Nexus 5k/6k/9k. ITD is much superior than legacy solutions like PBR, WCCP, ECMP, port-channel, layer-4 load-balancer appliances.
Note:- ITD is not a replacement for L7 load balancers
Tags: Cisco Nexus 9000, ITD, latency, load balancer, nexus, Nexus 7000 Series Switches, Nexus 9000 Series Switches, performance
Many years ago I found myself talking to venture capitalists about the differences between SaaS, outsourcing, ASPs, MSPs, online applications; etc. Also I noticed that my Stanford students had little understanding of the economics of software, so I developed the idea of seven business models to cover everything in the software business, and remove the buzzwords and replace them with economic models.
In my previous blog post we discussed the first four models, this post will cover Models Five through Seven.
We ended the last blog talking about Model Four being able to provide management of the security, availability, performance and change of the software at nearly 10x less cost.
The question we left with was “how”?
How is it possible to decrease the cost of management without just paying people a fraction of what they made previously?
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Tags: business models, CIO, Cloud Computing, isv, on-premise, open source, outsourcing, SaaS
It’s been a busy couple of weeks for us in big data land. One thing that struck me is how much we learned about the big data and analytics space after hours at Strata Hadoop, and sometimes that can be just as exciting as what we learn during the sessions. I have a couple of videos I like to share with you to prove my point.
In this video, I learned some things from Jim Scott, MapR. First, MapR is providing –and get ready because it’s a mouthful—“ an online, Interactive, platform neutral, vendor agnostic training” — and some cool use cases of a Hadoop cluster in a briefcase.
It’s also fun to get together with our various partners and talk about the great solutions we are doing together. In this video, I have MapR and Platfora do all the work. Hey it was after hours!
Webinar At A Glance
Want to learn more about what we are doing with our partners? Check out the Webinar At A Glance from our recent Big Data webcast, “Analytics Solutions for Driving Better Business Outcome,” which is available on demand now. The feedback has been amazing and we plan to do more of these with our partners in the future.
Have some interesting stories or solutions you would like to share? Find me on Twitter, @JimMcHugh, we can work together to get the news out.
Tags: analytics, Big Data, BigData, CiscoUCS, MapR, Platfora, Splunk, Strata Hadoop World, unified computing system