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Wednesday, September 21 • 18:00 - 18:50
Hodor: Detecting and addressing overload in LinkedIn microservices

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When pushed hard enough any system will eventually suffer, and ultimately fail unless relief is provided in some form. At LinkedIn, we have developed a framework for our microservices to help with these issues: Hodor (Holistic Overload Detection & Overload Remediation). As the name suggests, it is designed to detect service overloads from multiple potential root causes, and to automatically improve the situation by dropping just enough traffic to allow the service to recover. Hodor then maintains an optimal traffic level to prevent the service from reentering overload. All of this is done without manual tuning or specifying thresholds. In this talk, we will introduce Hodor, provide an overview of the framework, describe how it detects overloads, and how requests are dropped to provide relief.

Speakers
avatar for Abhishek Gilra

Abhishek Gilra

Staff Software Engineer, LinkedIn
Abhishek is an experienced software engineer interested in improving performance and efficiency of large scale software systems.                        
NM

Nizar Mankulangara

Staff Software Engineer, LinkedIn
I am originally from South India and currently lives in Bay Area, California. I try to spend majority of my time out doors, playing soccer, trail running, mountain biking in summer and skiiing during winter with friends and family                        
avatar for Salil Kanitkar

Salil Kanitkar

Staff Software Engineer, LinkedIn
Salil is a Staff Engineer at LinkedIn working to improve the resiliency and availability of systems. Prior to LinkedIn, he was an engineer at VMware.


Wednesday September 21, 2022 18:00 - 18:50 CEST
#3 Java Cloud Native