By David Mytton, CEO & Founder of Server Density. Published on the 23rd May, 2012. Perhaps the most oft-cited problem with MongoDB is the infamous global lock. In general terms, this means that the entire server is locked when you perform a write operation. This sounds bad but is actually blown out of proportion compared to the real world in production impact. It has been improved over the version
Tweet About This post shows how to use Fluentd-MongoDB plugin to aggregate semi-structured logs in real-time. Background Fluentd is an advanced open-source log collector developed at Treasure Data, Inc (see previous post). Because Fluentd handles logs as semi-structured data streams, the ideal database should have strong support for semi-structured data. There are several databases that meet this
I have been searching for a way to process the exponentially increasing service logs at a low cost. For the past several months, the Monitoring System Development Team here at NHN has also been looking for a good way to analyze logs. In this article, I want to tell you what we have come up with. Every day, many developers and database administrators struggle to find ways to complete their tasks. O
I’ve been posting a lot about deployments in the cloud and especially about deploying MongoDB in the Amazon cloud: MongoDB on Amazon EC2 with EBS VolumesMongoDB on EC2MongoDB in the Amazon CloudSetting Up MongoDB Replica Sets on Amazon EC2MongoDB and Amazon: Why EBS?Amazon EBS vs SSD: Price, Performance, QoSMulti-tenancy and Cloud Storage PerformanceIn this video Jared Rosoff covers topics like sc
Creating robust applications using open source databases and commodity hardware The last article on this blog described our planned MySQL to MongoDB replication hackathon at the recent Open DB Camp in Sardinia. Well, it worked, and the code is now checked into the Tungsten Replicator project. This article describes exactly what we did to write the code and set up replication. You can view it a
Once nice thing about playing with Webdis is that I can watch the import rate of my multi-billion document MongoDB import in nearly real-time. The downside of that is that I quickly found that once I got a few hundred million documents loaded, the performance not only dropped off quite a bit (expected) but also became highly variable (less expected). In fact, it got so bad that I started to worry
Read it now on the O’Reilly learning platform with a 10-day free trial. O’Reilly members get unlimited access to books, live events, courses curated by job role, and more from O’Reilly and nearly 200 top publishers. Create a MongoDB cluster that will to grow to meet the needs of your application. With this short and concise book, you'll get guidelines for setting up and using clusters to store a l
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