Monday, 10th December 2018

LinkedIn Automates All of the Easy Things, and Makes all of the Hard Things Easy

Hear LinkedIn’s senior SRE, Todd Palino, share how the company continually improves the state of its infrastructure, so that the developers who are rolling out applications have a framework that they can do it within, and they can do it safely. LinkedIn currently generates over 50 terabytes a day of unique metrics on applications. No human is going to look at 50 terabytes a day of data and get anything useful out of it, so LinkedIn relies on systems give them some useful signal out of all that noise. By moving down the road of machine learning, LinkedIn can now do anomaly detection using machine learning models.

This article has been tagged in:
automation linkedin
Stephane Zantain, Head of Customer Engagement, Europe, at Capgemini Invent, explains why customer en...
Justin Martin, lead of capacity management team at Cerner, talks about his goals for the capacity ma...
William Hill shares how AI and machine learning play a massive role in self-healing and the transfor...
CA Technologies’ Chris Kline shares how to adopt an AIOps strategy in a DevOps world. Chris shares h...
William Hill shares how AI and machine learning play a massive role in self-healing and the transfor...
Learn how AIOps will help US Bank increase automation across the tool chain by analyzing large, moni...