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Redis uses a very straightforward command line interface. Though it's relatively simple, it does provide some interesting features that one might not expect. Let's go over some of the basics and work our way around most of the client's functionality and features.

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Hashes in Redis are a way to store associated field-value pairs under a single key, where both the field and values are strings. Redis allows for modifications to both the data structure as a whole, and also to each field in the structure. This makes it a great (and very fast) backing store for objects in an application.

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In Matthew Barker's Getting started with Redis post, we covered the 5 data structures in Redis. This overview will cover some key operations and common uses, along with security options and a few simple example scripts.

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What creates trust? What makes people laugh, or feel surprised? Can an algorithm pinpoint the exact moment or reason a person expresses excitement?

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RedisConf is just around the corner! We’ve got a full day of inspiring keynotes, intensely practical sessions, and plenty of fun networking when we gather next Thursday, March 5th, at the Innovation Hanger located at 3601 Lyon Street in San Francisco. With over 300 registrants and 20 speakers from big names like Hulu, Pivotal, Heroku, VMware and RedisLabs, it’s an event you don’t want to miss.

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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.

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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.

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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.

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