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Data Collection and Real-time Performance Analytics at LinkedIN

The ability to rapidly collect, process and present log data from the full stack is increasingly becoming important for trouble-shooting, ensuring service reliability and proactive service management. LinkedIn, Netflix and Google continue to drive new standards in implementing new types of architectures and solutions for collecting and processing telemetry data.

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LinkedIn relies on inGraphs and Naarad for their operational monitoring and real-time application monitoring purposes. Specifically, Naarad is a framework for performance analysis & rating of sharded & stateful services. The use cases supported by Naarad include Continuous Integration, Performance Investigation and parses JVM Garbage Collection (GC), System/Network (SAR), Mysql (Innotop), Jmeter (JTL/XML) logs, VMStat, ZoneInfo, and MemInfo.

The link to the github repository is here.

You can read more about how Naarad works by viewing this presentation.

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