Recruiting SolutionsRecruiting SolutionsRecruiting Solutions * *** Sid Anand QCon NY 2013 Building a Modern Website for Scale About Me 2 * Current Life… Ø། LinkedIn Ø། Search, Network, and Analytics (SNA)
Recruiting SolutionsRecruiting SolutionsRecruiting Solutions * *** Sid Anand QCon NY 2013 Building a Modern Website for Scale About Me 2 * Current Life… Ø། LinkedIn Ø། Search, Network, and Analytics (SNA) Ø། Search Infrastructure Ø། Me In a Previous Life… Ø། LinkedIn, Data Infrastructure, Architect Ø། Netflix, Cloud Database Architect Ø། eBay, Web Develo
The Play Framework at LinkedIn
Video of the presentation: http://www.youtube.com/watch?v=8z3h4Uv9YbE At LinkedIn, we have started to use the Play Framework to build front-end and back-end services at massive scale. Play does things a little differently: it's a Java and Scala web framework, but it doesn't follow the servlet spec; it's fairly new, but it runs on top of robust technologies like Akka and Netty; it uses a thread poo
LinkedIn: Creating A Low Latency Change Data Capture System With Databus
This is a guest post by Siddharth Anand, a senior member of LinkedIn's Distributed Data Systems team. Over the past 3 years, I've had the good fortune to work with many emerging NoSQL products in the context of supporting the needs of a high-traffic, customer facing web site. In 2010, I helped Netflix to successfully transition its web scale use-cases from Oracle to SimpleDB, AWS' hosted database
Check out how LinkedIn uses JRuby on its Front-end
At an event hosted at LinkedIn on November 2, 2010, Baq Haidri from LinkedIn gave us an inside look at how LinkedIn is using JRuby to iterate rapidly, re-use code, and leverage its Java-heavy codebase. In this 20 minute presentation, you'll get: - An inside look into LinkedIn's web application architecture - Code examples - Demo of a new LinkedIn product using JRuby ** check out the slides from
linkedin/gradle-plugins - GitHub
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SNA Projects Blog : Tech Talk: Michael Deerkoski (Flickr) — “Continuous Deployment at Flickr”
Hire the best. At 10x the speed.Hire the best. At 10x the speed.Screen and interview candidates 10x faster with MOPID AI Recruiter that saves upto 80% of your time and resources. Hiring 100+ positions? Try⚡Blitzhiring⚡for a change!Hiring 100+ positions?Try ⚡Blitzhiring⚡ for a changeWe get it. Large scale hiring costs a lot. What if you could hire the perfect talent AND save up to 80% resources? We
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
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Data Infrastructure at LinkedIn
linkedin/glu - GitHub
LinkedIn - A Professional Network built with Java Technologies and Agile Practices