LinkedIn's Data InfrastructureInfoQ Software Architects' Newsletter A monthly overview of things you need to know as an architect or aspiring architect. View an example
Project Voldemort (Part II): How it works
Code Alert! This is a part of our continuing series on Engineering at LinkedIn. If this isn’t your cup of Java, check back tomorrow for regular LinkedIn programming. In the meanwhile, check out some of our recent announcements, tips and tricks, or success stories. In my last blog entry I described what LinkedIn is doing with our open source key-value storage system Project Voldemort. In this entry
Project Voldemort Blog : Building a terrabyte-scale data cycle at LinkedIn with Hadoop and Project Voldemort
Many of LinkedIn’s products are critically dependent on computationally intensive data mining algorithms. Examples of these include some modules like People You May Know, Viewers of This Profile Also Viewed, and much of the Job matching functionality that we give to people who post jobs on the site. To support these data-intensive products we have begun to move many of the largest offline processi
Project Voldemort Blog : Building Voldemort read-only stores with Hadoop
A well-known lesson in scalability is that writes are 40x more expensive than reads and if your application becomes write-intensive as it is easily the case when you are dealing with sufficiently large number of users, you will be in trouble if you don’t design to scale. For example, if you are using MySQL, you will most likely follow the conventional path of scaling by introducing one of many rep
braindump: NOSQL debrief
Saturday, 13 June 2009 NOSQL debrief The relatively young but rapidly growing "nosql" community met last Thursday in San Francisco. The idea was to give attendees a solid introduction to how distributed, non relational databases work as well as an overview of the various projects out there. If I may say so myself we succeeded in doing both. Thanks to all the presenters for very interesting talks a
key-value stores: Anti-RDBMS: A list of distributed key-value stores | Richard Jones, Esq.
Please Note: this was written January 2009 - see the comments for updates and additional information. A lot has changed since I wrote this. Perhaps you’re considering using a dedicated key-value or document store instead of a traditional relational database. Reasons for this might include: You're suffering from Cloud-computing Mania. You need an excuse to 'get your Erlang on' You heard CouchDB was
Hadoop and Voldemort ��@ LinkedIn
The document discusses Project Voldemort, a distributed key-value storage system developed at LinkedIn. It provides an overview of Voldemort's motivation and features, including high availability, horizontal scalability, and consistency guarantees. It also describes LinkedIn's use of Voldemort and Hadoop for applications like event logging, online lookups, and batch processing of large datasets.Re
Project Voldemort: Scaling Simple Storage at LinkedIn
Code Alert! This is a part of our continuing series on Engineering at LinkedIn. If this isn’t your cup of Java, check back tomorrow for regular LinkedIn programming. In the meanwhile, check out some of our recent announcements, tips and tricks, or success stories. About a month ago LinkedIn released the code for an open source distributed storage system called Project Voldemort. I wanted to give a
GitHub - voldemort/voldemort: An open source clone of Amazon's Dynamo.
Data is automatically replicated over multiple servers across multiple datacenters. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization frameworks like Protoco
Project Voldemort
Voldemort is a distributed key-value storage system Data is automatically replicated over multiple servers. Data is automatically partitioned so each server contains only a subset of the total data Server failure is handled transparently Pluggable serialization is supported to allow rich keys and values including lists and tuples with named fields, as well as to integrate with common serialization
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SNA Projects Blog : Tech Talk: Michael Deerkoski (Flickr) — “Continuous Deployment at Flickr”
NOSQL - Voldermort
Jay Kreps on Project Voldemort Scaling Simple Storage At LinkedIn
Episode 162: Project Voldemort with Jay Kreps | Software Engineering Radio
Domain error
Project Voldemort: Scaling Simple Storage