2/28/2023 0 Comments Filebeats java logsIn addition, since there is no message queue cache, there may be a risk of data loss, which is suitable for environments with small data volumes. The disadvantage is that Logstash consumes a lot of system resources, and takes up a lot of CPU and memory resources when running. The advantage of this architecture is that it is simple to build and easy to use. If it is indeed a single server, deploy a Logstash. The reason for the multiple Logstash in the figure is that considering the program is a distributed architecture, each machine needs to deploy a Logstash. Architecture introduction 2.1 The simplest ELK architecture Kibana can provide a log analysis-friendly Web interface for Logstash and ElasticSearch, which can help summarize, analyze and search important data logs. Kibana is also an open source and free tool. The server side is responsible for filtering and modifying the received logs of each node and sending them to elasticsearch. The client side is installed on the host that needs to collect logs. The general working method is c/s architecture. Logstash is mainly a tool for collecting, analyzing and filtering logs, and supports a large number of data acquisition methods. ELK can use redis as a message queue, but redis as a message queue is not a strong point and redis cluster is not as good as kafka, a professional message publishing system. Filebeat monitors the log file or location you specify, collecting log events. Compared with Logstash, Beats occupies almost negligible system CPU and memory.įilebeat is a lightweight delivery tool for forwarding and centralizing log data. In the early ELK architecture, Logstash was used to collect and parse logs, but Logstash consumes resources such as memory, cpu, and io. 1.2 Filebeat log data collectionįilebeat is a member of Beats. Its features are: distributed, zero configuration, automatic discovery, index automatic sharding, index replication mechanism, restful style interface, multiple data sources, automatic search load, etc. 1.1 Elasticsearch StorageĮlasticsearch is an open source distributed search engine that provides three functions of collecting, analyzing, and storing data. Filebeat occupies less resources and is suitable for collecting logs on each server and transferring them to Logstash. A new FileBeat has been added, which is a lightweight log collection and processing tool (Agent). ELK is the abbreviation of three open source software, respectively: Elasticsearch, Logstash, Kibana, they are all open source software.
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