Get the latest news and information about the ObjectRocket platform and its fully managed instances.
Free 30-Day Trial
Provision a single Redis (500MB), MongoDB with MMAPv1 (up to 5GB), or Elasticsearch with Kibana (512MB RAM / 4GB Disk) instance and experience the ObjectRocket platform backed by Fanatical Support® free for your first 30 days. Learn more
You've asked, and now it's here... Encryption at rest is now available as an option on ObjectRocket for Elasticsearch with Kibana. As of today, encrypted instances can be created in the ObjectRocket control panel and existing instances can also be converted to encrypted instances with our always-free migration services.
As of version 3.2 MongoDB supports partial Indexes. A partial index only indexes the documents that meet a specified filter expression, before 3.2 the closest index type to partial was the sparse index. A sparse index only indexes documents where the index field(s) is not equal to null. The sparse index is a great tool to create smaller and higher performing indexes. Partial indexes bring more flexibility to the equation.
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.