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Jens Heyens, Kai Greshake, and Eric Petryka at CISPA recently published a paper entitled "MongoDB databases at risk - Several thousand MongoDBs without access control on the Internet". The paper outlines that basic security practices have not been followed by a large number of internet accessible MongoDB installations.
Recently, the Rackspace DevOps Automation team announced a service that sends [alerts from New Relic](http://www.rackspace.com/blog/devops-automation-offers-improved-new-relic-integration/) to Rackspace support. These alerts will generate tickets for our DevOps Engineers to respond to, so our customers can sleep soundly when alerts are generated at 3am. When combined with other data points collected about our customers’ environments, our Engineers will identify where issues lie and then execute the proper course of action.
As I am afforded the privilege of speaking with many people and companies using Redis in a variety of use cases from simple caching to multi-terabyte sized setups the one topic I am asked to address more than any other is performance. Redis is different in how you approach performance. In many, if not most, database servers you try to improve performance. With Redis the goal is to not slow it down. This is a very different approach and requires a different mindset to take advantage of it.
Over the past couple of months we have had a number of Rackspace customers ask us when they will have the ability to connect to their ObjectRocket for Redis instances over ServiceNet, and we are excited to launch this feature today in our Virginia (IAD), Dallas (DFW), Chicago (ORD) and London (LON) regions.
The speed and flexibility of Redis makes it an extremely powerful tool for developers and it can be used in a variety of different ways. Although Redis is often referred to as a key-value store it is much better described as a Data Structure Server, as it also supports 5 different data structure types, namely:
For those of you new to using MongoDB, MongoDB space usage can seem quite confusing. In this article, I will explain how MongoDB allocates space and how to interpret the space usage information in our ObjectRocket dashboard to make judgements about when you need to compact your instance or add a shard to grow the space available to your instance.
Appboy is the world's leading marketing automation platform for mobile apps. We collect billions of data points each month by tracking what users are doing in our customers' mobile apps and allowing them to target users for emails, push notifications and in-app messages based on their behavior or demographics. MongoDB powers most of our database stack, and we host dozens of shards across multiple clusters at ObjectRocket.
Today, we're excited to announce a new addition to the ObjectRocket platform - ObjectRocket for Redis. Redis is built for high performance, has versatile data structures and great documentation allowing developers to easily integrate Redis into highly scalable application stacks. We use it internally and so do many of our customers who have been pushing us hard to release a Redis Database as a Service offering.