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Our mission at ObjectRocket is to provide the fastest, most reliable databases available. There are plenty of great places to run your applications, but the role that containers (and Docker in particular) play in the enterprise today is undeniable. Rackspace recently released a great new service called 'Carina', providing a high performance hosted Docker Swarm service that complements ObjectRocket very well. In this post, I'd like to show you how to get started deploying and scaling applications on Carina, while easily integrating with blazing fast databases on ObjectRocket.
Since we launched our ObjectRocket Elasticsearch service this past July, we have been hard at work in the garage, wrenching on some new features to add chrome to our Elasticsearch rocket. We are pleased to announce the following new features:
One of the most exciting developments over the lifetime of MongoDB must be the inclusion of the WiredTiger storage engine in MongoDB 3.0. Its very design and core architecture are legions ahead of the current MMAPv1 engine and comparable to most modern day storage engines for various relational and non-relational stores. One of the most compelling features of the WiredTiger storage engine is compression. Let's talk a bit more about performance and compression.
In our Employee Highlight series, we will introduce you to various ObjectRocket Team Members. This week we have Chris Lalonde, ObjectRocket co-founder & General Manager. Chris has 16+ years of experience building online platforms and an award-winning background, comprised of serial successes driving technology development and operations for a variety of startups, government agencies and Fortune 500 corporations. He has held senior executive positions with companies including Bullhorn, Quigo and online auction powerhouse, eBay. Chris has been awarded 5 patents.
If you're looking to transform your millions (or billions!) of Elasticsearch documents into eye-catching charts, graphs, and tables, Kibana is the answer. As an Elastic product, it integrates closely with Elasticsearch and provides an easy-to-use interface for making sense of mounds of data.
When ObjectRocket announced the launch of tiered pricing for sharded MongoDB plans, we promised that we’d soon be doing the same for our Redis and Elasticsearch products as well. Today, we are delivering on that promise!
The latest major release of MongoDB had several great new features. The most significant among these was the inclusion of pluggable storage engines, and the first official one was WiredTiger. Since its release with MongoDB 3.0, WiredTiger has been getting tinkered on to increase its stability and we here in the dungeons of engineering at ObjectRocket have been turning wrenches on it as well. We are pleased to announce that we are now offering Early Access to WiredTiger as a storage engine option with MongoDB 3.0 in our East Coast and London datacenters, in addition to the default engine, MMAPv1. While other providers maybe a little hesitant to offer you new features...