Couchbase Blog

Blogs, buzz and more! Follow @couchbase for updates as they happen. This week in Couchbase: 

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This release is another bug fix/stability release concentrating on improving the retry algorithm for Views and adding more refined logging to the client, along with a few other miscellaneous fixes.

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One of the capabilities of Couchbase Server is the ability to do online upgrades without downtime. This is in part due to Couchbase’s auto-sharding and rebalancing features. In this blog post we will walk through the recommended approaches of doing a rolling upgrade. While all of these approaches are possible ways of upgrading, they are listed in order of what is considers best practice. Preference is given to ease of operation, keeping the cluster and application online and operational, as well as consistent performance while the upgrade is happening.

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There are two simple linux OS level settings that people seem to be overlooking setting correctly on their production systems I have seen. These are documented elsewhere, but they keep coming up and seems like they need some quick review here. It is not like these are some super secret setting or magic bullet performance fixing items necessarily, but they are things that in a production Couchbase DB should be set correctly as below and incorporated into whatever system/process you use to bootstrap the nodes you use for Couchbase.

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Big Data

Apache Hadoop the big data platform. It was designed to derive value from volume. It can store and process a lot of data at rest, big data. It was designed for analytics. It was not designed for velocity.

It’s a warehouse. Is efficient to add and remove many items from a warehouse. It is not efficient to add and remove a single item from a warehouse.

Data sets are stored. Information is generated from historical data, and you can retrieve it. Pure Volume

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Greetings Everyone, 

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You can’t judge a book by its cover, but you can judge the architecture of a distributed system by its topology.

If two distributed systems are equally effective, is the one with the simpler topology the one with the better architecture? This article compares the architecture of two document databases and two wide column stores by looking at their topologies.

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Via this blog we're releasing the first developer preview of the 1.4.0 Java SDK. Aside from the usual bugfixes and enhancements, this new minor release provides support for optimized connection management which was recently introduced in Couchbase Server 2.5.0. See below for more information on what's new here.

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Tons of buzz in the NoSQL world this week. What's coming up in Couchbase:

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Big stories and case studies coming out from Couchbase this week! See what else is happening at Couchbase:

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