9/1/2014

Microsoft Product Power Ratings

RCP's exclusive guide to the Redmond products that are hot, trending and flailing for the channel.


In-Depth

Microsoft Product Power Ratings

By Gladys Rama

A regularly updated guide to what's hot, what's not, what's trending and what's flailing for the Microsoft channel.


Next-Gen Microsoft SIs on Profitability in a Changing IT World

By Redmond Channel Partner magazine staff

Revenue Rocket Consulting Group CEO Mike Harvath moderated a panel at the 2014 Microsoft Worldwide Partner Conference that included RCP Rocket Award winner Mark Seeley and CEOs of three other cutting-edge systems integration firms talking about how they're transforming their businesses.


With New Cloud Competencies, Microsoft Gives and Takes Away

By Scott Bekker

The addition, at last, of cloud competencies gives partners a clear place in the Microsoft Partner Network to establish expertise and build a practice. Yet, some other Microsoft moves regarding cloud are causing partners serious concern.


Both Sides

Microsoft Partners: Get Used to Dodging a Drunk Dinosaur

By M.S. Partner

A few of Microsoft's recent moves have the company lumbering right onto partners' territory.


Channel Watch

Microsoft Positions Azure as the Hyper-Scale Cloud To Beat

By Scott Bekker

Microsoft is making major strides against Amazon and Google under the flag of "cloud first."


Channeling the Cloud

Microsoft Readies Azure for 'Disaster Recovery as a Service' Boom

By Jeffrey Schwartz

Starting with its acquisition of InMage this summer, Microsoft has been taking steps to position Azure as a major provider of disaster recovery services in the cloud.


On Growth

Building a 'Portfolio of Initiatives' Is Key to Partner Growth

By Mike Harvath

Forget planning for just the foreseeable future; a partner's plan for adapting to the rapidly changing IT landscape should span years.


News

With Azure ML, Microsoft Lowers the Barriers to Predictive Analytics

By Gladys Rama

The cloud-based service would let partners deploy complex machine-learning models for their customers in a matter of hours, instead of months.