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Cluster-level Logging of Containers with Containers: LOGGING CHALLENGES OF CONTAINER BASED CLOUD DEPLOYMENTS

机译:包含容器的容器的群集级日志记录:基于容器的云部署的日志记录挑战

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摘要

This article shows how cluster-level logging infrastructure can be implemented using open source tools and deployed using the very same abstractions that are used to compose and manage the software systems being logged. Collecting and analyzing log information is an essential aspect of running production systems to ensure their reliability and to provide important auditing information. Many tools have been developed to help with the aggregation and collection of logs for specific software components (e.g., an Apache web server) running on specific servers (e.g., Fluentd and Logstash.) They are accompanied by tools such as Elasticsearch for ingesting log information into persistent storage and tools such as Kibana for querying log information.
机译:本文显示了如何使用开源工具实现群集级日志记录基础结构,并使用与用于撰写和管理正在记录的软件系统的相同的抽象部署。 收集和分析日志信息是运行生产系统的重要方面,以确保其可靠性并提供重要的审计信息。 已经开发了许多工具,以帮助用于在特定服务器上运行的特定软件组件(例如,apache web服务器)的聚合和集合(例如,fluentd和logstash。)它们伴随着摄取日志信息的弹性研究等工具 进入持久存储和工具,如Kibana用于查询日志信息。

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