LinkedIn Application Architecture – Software Distribution View

The article lists down the softwares used at different layers in the LinkedIn platform layered architecture.

Presentation Layer

• Dust.js (Client-side templating JS engine)
• Backbone.js (Client-side MVC JS framework)
• JQuery 
• YUI Library (UI libraries started by Yahoo engineers)
• Google V8 Engine (Used as server side JS templating engine)
• Node.js (Used in mobile app)
• HTML5 (Used in mobile app)

Business Layer

• Java (Applications such as Profile)
• Grails (Applications such as a Recruiter app)
• JRuby (Applications such as a Skills app)
• Spring (Component Model)
• Scala

Middleware

• Apache Kafka (Distributed entreprise-level messaging system)

Data Layer

• Oracle (RDBMS as primary data store used for writes)
• Espresso (NoSQL data store emerging as primary data store and envisioned to replace Oracle)
• Voldemart (NoSQL data store serving many Read-only pages)
• Zoie (Lucene) 
• Bobo (Lucene)
• MySQL
• Databus (Change data capture system)
• Hadoop (Map-Reduce)

Cross-cutting concerns

• Apache Helix (Clustering management)

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Ajitesh Kumar

I have been recently working in the area of Data analytics including Data Science and Machine Learning / Deep Learning. I am also passionate about different technologies including programming languages such as Java/JEE, Javascript, Python, R, Julia, etc, and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data, etc. I would love to connect with you on Linkedin.
Check out my latest book titled as First Principles Thinking: Building winning products using first principles thinking.

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