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Operational logs analysis at ALMA observatory based on ELK stack

机译:基于ELK堆栈的ALMA天文台的运行日志分析

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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.
机译:在运行期间,ALMA天文台会生成大量日志,这些日志不仅包含与特定故障有关的有价值的信息,而且还包含长期性能分析。我们基于Elasticsearch,Logstash和Kibana实施了大数据解决方案。它们被配置为解耦系统,对现有操作造成零影响。它可以在线保存六个月以上的操作日志。在本文中,我们将描述该基础架构,在其基础上构建的应用程序以及在实施过程中遇到的问题。

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