Our thoughts about database management plus the latest information about the ObjectRocket platform.
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At ObjectRocket we believe you should have the ability to choose both the Redis version and the size of instance as per your current requirements, and then upgrade or scale when your needs change or Redis evolves. In a nutshell, we want you to be able to take advantage of the latest and greatest features of Redis when they are available at the scale you need.
In this blog I'm going to show you how use Robomongo to connect to your ObjectRocket MongoDB. Robomongo is a cross-platform MongoDB manager that is available both a paid and an open source version. Check out the Robomongo download page to grab the latest free version.
We’re excited to announce that MongoDB 3.2 is now generally available on ObjectRocket and ready for you to deploy today! We’ve been hard at work testing and validating the latest major release, and after a lot of careful tracking of the community patches and stability improvements, we are ready to put our full endorsement behind MongoDB’s latest and greatest.
Update on Jan 20, 2017: In August 2016, we introduced Unlimited Availability of ObjectRocket Redis on AWS. Since that time, we have decided to leverage our existing Rackspace infrastructure for hosting Redis and End of Life the existing Redis on AWS infrastructure. However, we are now providing an AWS DirectConnect link bringing fully managed HA Redis closer to AWS customer's applications while offering the same core features that exist on Rackspace infrastructure. For more information on AWS Direct Connect, check out our blog post What Does AWS Direct Connect Have to do with ObjectRocket?
So you have a MongoDB data set, and you need a place to host it! As you've discovered, we have an impressive list of features, but up until this point, many of them have only been available for sharded instances. Some of the key features include 3 data nodes per shard, SSL connection options, WiredTiger storage engine, encryption for data at rest, and vertical scaling of resources. But if sharding doesn't fit your workload, your data schema, or your data volume, then it can be awkward or impractical to force yourself to use a sharded instance, when a simple replica set is what you really need.