摘要
为检测系统日志和业务日志中的各种错误信息,提出了一种基于Storm的实时报警服务。该服务通过Scribe实时收集持续大流量的日志数据,采用分布式消息系统Kafka缓存,然后经Storm分析过滤、匹配报警规则。实验结果表明,该服务可以及时发现故障问题并发送报警信息,确保系统和业务的稳定运行。
In order to detect the error messages in the log and log of the system,a real-time alarm service based on Storm is proposed. The service collects the log data of continuous large flow through Scribe,uses the distributed message system Kafka cache,and then analyzes and filters and matches the warning rules by Storm. The experimental results show that the service can find fault in time and send alarm information to ensure the stable operation of the systems and services.
作者
马庆祥
刘钊远
MA Qing-xiang;LIU Zhao-yuan(School of Computer Science and Technology,X i’an University of Posts and Telecom m unications,X i’an 710061,China)
出处
《信息技术》
2016年第12期162-166,共5页
Information Technology