Operational logs analysis at ALMA observatory based on ELK stack
Juan Pablo Gil, Johnny W. Reveco, Tzu‐Chiang Shen · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2016
During operations, the ALMA observatory generates a huge amount of logs which contain not only valuable information related to specific failures but also for long term performance analysis. We implemented a big data solution based on Elasticsearch, Logstash and Kibana. They are configured as decoupled system which causes zero impact on the existent operations. It is able to keep more than six months of operation logs online. In this paper, we'll describe this infrastructure, applications built on top of it, and the problems that we faced during its implementation.