Must have Development Tools Scripts for LinkedIn
It was specifically built for constructing and running Hadoop jobs or other offline processes.
Azkaban was developed by the LinkedIn team and was written using Java, JavaScript and Clojure.
It is deployed at LinkedIn since early 2009.
Azkaban comes with a...
A faceted search engine is a search engine with multiple search input parameters, which get aggregated into one single query. It's practically a powerful filter for searching data in a structured format.By default, Lucene is great at working with...
This template engine is actually a re-worked version of a similarly named template engine by Aleksander Williams: Dust. Just like the original product, this version also uses an extended Mustache syntax, with a clean and extremely simple API.Dust is...
Hopscotch does not work like most Web guide plugins these days, taking all input from a separate JSON file.It also features a powerful API for controlling the way users interact with the tour at its various phases and how data is presented to the user.A...
The library was build by the LinkedIn engineering staff to handle the site's various JS modules and their appropriate dependencies.The main driving force behind Inject was the wish of improving code maintainability without cluttering the website and...
Rest.li can be used to assemble complicated yet versatile project structures that rely on data and content from remote APIs.Rest.li applications are very scalable and robust, mainly because of Rest.li's data and technology agnostic structures.What is new...
Sensei was developed at LinkedIn and is written with a cocktail of Java, JavaScript, and Python.It is completely different compared to traditional RDBMS systems, being written for environments where data changes at rapid times, on multiple machines at...
Developed by LinkedIn's team itself, Venus.js has been proven under fire.Venus.js is not a library per se, but a tool to be used from Node's or PhantomJS' command line to test JS code in a faster manner, without having to dabble in source code files.It...
Voldemort is written in Java and was developed by LinkedIn.It is not a classic relational database, being more close to NoSQL systems like Redis or FlockDB rather than to MySQL.Voldemort is for managing large amounts of data on multiple servers at...
Zoie was developed by LinkedIn and is built on Apache Lucene.It works by indexing data and immediately making it available for search queries. This is done very rapidly, without affecting current input searches or other performance parameters.This means...
