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Cisco Intercloud makes Strides Leading up to Partner Summit 2015

Welcome back from the holidays and welcome to 2015! I trust you’ve all settled back into your work routines after enjoying some much-earned time off with friends and family. Temperatures across the U.S. continue to drop, but things in our world are heating up as we kick off the New Year. In fact, Cisco Partner Summit 2015 will be here before you know it.

The end of April is just a little more than three months out and we can’t wait to see some of you in Montreal this year. Speaking of Partner Summit, it was at last year’s event where we launched what I wanted to touch on today.

I promise I’ll keep this one short, but since launching Cisco Intercloud in Las Vegas last year, we really have accomplished a great deal, and I want to be sure that you, as a member of The Cisco Partner Ecosystem, are not missing out on any opportunities. Hhere is a little recap on Cisco Intercloud from Partner Summit 2014 until now. Read More »

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Using the Cloud Strategically

A recent blog from Sungard AS, Stretch Your IT Dollar with Cloud Computing Services, offers more than just ideas on how cloud can extend your IT budget.  It also covers ways organizations of all sizes can use cloud services strategically to meet their goals, as well as provides a link to materials useful for companies considering the move to cloud.

A key part of Cisco’s cloud strategy is to enable service providers like Sungard AS to offer a wide range of cloud-based services. These cloud services aren’t simply cloud-based copies of data center applications.  Because they are based in the cloud, they can provide even greater flexibility and value.  This gives businesses fast access to new technology without the delay or expense of capital expenditures.  Put another way, this gives businesses a powerful competitive edge.

For example, organizations can deploy disaster recovery in the cloud.  The use of shared, multi-tenant architectures enables businesses to minimize the cost and complexity of a disaster recovery solution.  This provides greater flexibility, giving businesses more options that can be tailored to meet their specific needs and budget.

Cisco’s portfolio of cloud services is extensive.  It includes:

Collaboration services like TelePresence as a Service (TPaaS) and Contact Center as a Service (CCaaS)

Infrastructure services like Desktop as a Service (DaaS), Infrastructure as a Service (IaaS), Disaster Recovery as a Service (DRaaS), and Bring Your Own Device as a Service (BYODaaS)

Software services like Application Experience as a Service (AXaaS)

Security services like Hosted Security as a Service (HSS)

And the list only continues to grow.

An important part of this portfolio is that providers can offer these services as Cisco Powered services.  Every service is built upon validated architectures.  As such, they provide enterprise-class performance and reliability as a minimum standard.

The top percentage of Cisco partners, however, take these services to the highest level.  By passing a third-party audit, cloud providers like Sungard AS have verified that they can deliver the service, security, and support they promise.  They also earn the right to use the Cisco Powered logo.

For you as a cloud user, the Cisco Powered logo means a service has passed Cisco’s stringent standards.  As a result, the service provides fast time to market with ensured performance.  You also benefit from ongoing innovation by your service provider and Cisco as they continue to innovate and improve services.

Using the cloud strategically is crucial for survival in today’s competitive world.  However, not all cloud services are created equal.  Commodity-based services built on best-effort networks can’t give you the confidence you need to move your mission-critical applications to the cloud.  To execute a great cloud strategy, you need cloud services you can trust.

Learn more about how Cisco Powered can transform your business.

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To the Cloud: Why We’ve Moved to an API-Based Architecture – Part 2: Identity as a Service

This is part 2 in a 2-part series about our API-based architecture. Part 1 explains how we provide content as a service to sellers.

Federated identity is central to cloud computing. You can’t have a useful hybrid cloud service without it.  Read More »

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Fog Computing: The New Model for the IoE

Last month, we proudly announced Connected Analytics for the Internet of Everything (IoE), easy-to-deploy software packages that bring analytics to data regardless of its location. It is a continued part of our commitment to delivering on our vision for fog computing, also called edge computing, a model that does not require the movement of data back to a centralized location for processing. If you’ve been reading my blog, you’ve seen me write about this as the concept of ‘Analytics 3.0’ or the ability to do analytics in a widely distributed manner, at the edge of the network and on streaming data. This capability is unique to Cisco and critical for deriving real-time insights in the IoE era.

To perform analytics using a traditional computing method, once data is generated it is aggregated, moved and stored into a central repository, such as a data lake or enterprise data warehouse, so it can be analyzed for insight. In the IoE, data is massive, messy, and everywhere – spanning many centralized data repositories in multiple clouds, and data warehouses. Increasingly, data is also being created in massive volume in a very distributed way…from sensors on offshore oil rigs, ships at sea, airplanes in flight, and machines on factory floors. In this new world, there are many problems that arise with the traditional method – not only is it expensive and time consuming to move all of this data to a central place, but critical data can also lose its real-time value in the process. In fact, many companies have stopped moving all of their data into a central repository and accepted the fact that data will live in multiple places.

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Analytics 3.0 creates a more appropriate model, where the path to derive insight is different by combining traditional centralized data storage and analysis with data management and analytics that happen at the edge of the network…much closer to where the huge volume of new data is being created. Analytics involves complicated statistical models and software, but the concept is simple…using software to look for patterns in data, so you can make better decisions.  It makes sense then to have this software close to where data is created, so you can find those patterns more quickly…and that’s the key concept behind Analytics 3.0. Once it’s analyzed, we can make more intelligent decisions about what data should be stored, moved or discarded. This model gives us the opportunity to get to the ‘interesting data’ quicker and also alleviates the costs of storing and moving the ‘non-interesting data.’

Analytics 3.0 is not about replacing big data analytics, cloud analytics and other centralized analytics.  Those elements are all part of Analytics 3.0, but they are not sufficient to handle the volume of massively distributed data created in the IoE, and so they must be augmented with the ability to process and analyze data closer to where it is created. By combining centralized data sources with streaming data at the edge, you will look for and find new patterns in your data. Those patterns will help you make better decisions about growing your business, optimizing your operations or better serving your customers…and that is the power of Analytics for the IoE.

 

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Learn More from My Colleagues

Check out the blogs of Mala AnandBob Eve and Nicola Villa to learn more.

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Could Big Data and Cloud go together?

In today’s era of increasing connectivity, data is getting generated in vast proportions.  Moreover, it is also important to be able to generate insights from it quickly and act accordingly.  Gone are the days when one would move data into a data warehouse and then extract insights from it to act at a later date.  Here are four scenarios why.

Scenario 1: Cloud and Social

If a discussion around a brand is trending positively or negatively, that organization needs to take action then and cannot wait for a future time to do so. They might want to capitalize on the positive sentiment and amplify it or perhaps take action and remedy a trending negative sentiment. Both Twitter and Facebook provide several real time analytics capabilities leveraging big data technologies that they pioneered themselves.  These analytics run within their cloud environment and provider users real time insights.

Read More »

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