More companies are turning towards a blended infrastructure to power their applications and to take advantage of cost savings, flexibility and security. That’s why Rackspace offers a true hybrid cloud portfolio: a mix of dedicated hardware, public cloud and the Rackspace Private Cloud.
You are pouring a sizeable portion of your life into building a world-class product. Amid the stress and passion of building out new features and fixes, it is important to also develop the discipline of automated testing and configuration management. Here’s why:
This week, we hosted a live webinar during which two ObjectRocket by Rackspace customers, Appboy and Untappd, highlighted how they use MongoDB and other data services on the cloud. Full video from the webinar is available below.
MongoDB is taking the database world by storm. And at 11 a.m. PST/1 p.m. CST Wednesday, February 12, we’re hosting a webinar during which we’ll highlight the fundamentals of ObjectRocket, Rackspace’s managed service for MongoDB, and hear from two Rackspace customers, Appboy and Untappd, as they share their stories of MongoDB on the cloud.
Most companies today still make business decisions based on guesses, hunches and intuition rather than leverage data-driven analytics platforms. Many don’t understand how to capture the insights or they don’t have the mathematical expertise to make their data meaningful in a manner that helps describe what they should look for. As companies transition away from traditional ways of doing business and start capturing the relevant data that allows senior management to make informed decisions, they encounter an explosion of data growth that legacy database systems and information management processes can no longer manage.
The world of big data is vast. And organizations trying to prepare for success by harnessing the power of data analytics can sometimes fall victim to confusion and tricky marketing. But one thing that is often left out of the conversation is the awareness of the big data problem. With the heightened expectations that big data promises, it’s important to put your data considerations in the context of a realistic discussion around your organization’s needs, use cases and tools.