![]() It paves to a worthy cycle where the user can get online solutions for performing any process. ![]() It has widespread community support with brief documentation and a very straight and simple configuration, which is applicable in different use-cases. The key point of Logstash is its flexibility because of the numerous count of plugins. It is fault tolerance because of rigid flexibility. It can also ship to Logstash, which is relied on buffer instead of Redis or Kafka. It assumes and selects the shipper fit on performance and functionality. It curbs them into Redis or Kafka to ship other Logstash or customize Kafka’s consumer to ship and enhance. Suppose the user wants Elasticsearch to ingest to parse and enrich as it assumes that the functionality or performance of Ingest just fits the user requirement. If the user wants to forward the logging project, it must alter the log shipper due to its cost or performance. If the user has small servers, the installing of Logstash is no other option as it needs a lightweight log ship that forces the data to a bucket of Elasticsearch to one or more Logstash servers. If the user wants to tailor the files, it should be done manually as the file cannot make itself a buffer as it remembers where it should be resumed. ![]() If the user has big servers, it is mandated to install Logstash on everything which doesn’t need more buffering. The flexibility and its abundance make Logstash as a reliable tool for prototyping and parsing complex data objects. ![]() It is generally used for gathering, parsing, and saving the logs for upcoming usage as a solution to the log management system. ![]()
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