There have been many log comparison and analysing technologies that helps to find issues and solve them. In this article we are going to analyze, compare and contrast two such log files comparison technologies that help to ease, find as well as solve issues by analysing various log files. Technologies are Logstash vs Filebeat.
What is LogStash?
Logstash is an open source, serverside pipeline that is responsible for data processing, and it ingests data from multiple and multitude sources simultaneously, transforms it for visualization and analysis and sends it to your preferred Stash”.
Logstash dynamically ingested, transforms as well as ships your data that is regardless of any format or have any kind of varying complexity. Using LogStash you are able to derive meaningful structure from unstructured data that uses grok, and decipher geo coordinates from different IP addresses, anonymize or exclude sensitive fields and ease the overall log processing method.
Logstash: the next generation Log analyser
Logstash is able to provide extensive support for a variety of different kinds of inputs that pulls in events from a multitude of different as well as common sources, all at the same time. You can ingest log data from all your log files that is the output of various metrics, web applications, data sources, and various AWS services, all in a continuous and streaming fashion.
With the ability that is provided by LogStash you are able to parse and transform your data on the fly. As different data travels from source to source, logstash filters are able to parse each event, identify different named fields in order to build structure and transform them to converge on a common format for a more powerful analysis and gain business value. Logstash provides you with the ability to dynamically transform and prepare your data regardless of any kind of format or complexity.
Using Logstash you can get the following features:
- Derive meaningful structure from unstructured data using grok
- Decipher geo coordinates from various IP addresses
- Anonymize PII data, and exclude sensitive fields completely
- Ease overall log processing independent of the data source, format or schema
Logstash has provided you with a variety of outputs that allows you to route data where you want, giving you the flexibility to unlock a slew of downstream use cases.
It has a pluggable framework featuring over 200 plugins, You can mix, match and orchestrate different input filters as well as output to work in a pipeline harmony
Logstash is typically used with Elastic search.
What is FileBeat?
FileBeat is a light weight shipper for automatic forwarding and centralizing log data. Filebeat is installed as an agent on your servers, Filebeat is able to monitor the log files or different locations that you specify, collect log events and forwards them appropriately to either ElasticSearch or Logstash for proper indexing
Here is how filebeat works: When you first start filebeat, it is going to start with one or more inputs that looks into the locations that you specified for log data. For each log that FileBeat locates, FileBeat starts a harvester, Each of the harvester reads a single log for new content and routes and sends the log data to libbeat which aggregates the events and sends the aggregated and composed data to the output that you have just configured for FileBeat.
Logstash vs Filebeat
|Logstash is a log analyser that is used with ElasticSearch||FileBeat is also a log analyser that can be used along with ElasticSearch.|
|Logstash can use different inputs||FileBeat also support different input types|
|Logstash is an open source server side data processing pipeline famous for log processing tasks||File beat is a shipper for automatic forwarding and centralizing log data|
|Logstash use more system resources||FileBeat does not use much system resources|
|Logstash requires JVM to run||FileBeats does not require JVM to run|
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So now you know something about the latest log files processing technologies that is LogStash and FileBeat. It depends on which features that you require that will lead you to use either Filebeat or LogStash.