It wasn’t too long ago that developers and database administrators answered with a simple “no, thank you” when asked about implementing any database on virtualized or cloud environments. The state of database-as-a-service solutions has come a long way in a relatively short period of time. Today, the number of choices available to developers in the data services tier has exploded.
This is a guest post written and submitted by Greg Avola, CTO, Co-Founder and Developer at Untappd, an ObjectRocket customer. Untappd is a mobile app that allows you to socially share the brew you’re currently enjoying, as well as where you’re enjoying it, with your friends.
I started writing small web applications in the late 90s. I came from a traditional relational database background, relying heavily on one of the most popular open source solutions, MySQL. After seeing a lot of online discussion around non-relational databases, and having talked to a number of customers looking for help with MongoDB, I knew that it was time to learn something new and get my feet wet with non-relational databases. Here are some of the steps I took and resources I used to learn MongoDB.
Choosing a platform and a cloud model is an important decision for your business. While the public cloud is a powerful technology, it’s not always the best fit for every workload. That’s where the hybrid cloud comes in.
ObjectRocket, the industrial strength MongoDB database-as-a-service company that we acquired in February, is now available in our Chicago data center. This means you can now use ObjectRocket as part of your Rackspace deployments.