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Filebeat is an open source shipping agent that lets you ship logs from local files to one or more destinations, including Logstash.
curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-oss-7.8.1-amd64.deb sudo dpkg -i filebeat-oss-7.8.1-amd64.deb
curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-oss-7.8.1-x86_64.rpm sudo rpm -vi filebeat-oss-7.8.1-x86_64.rpm
curl -L -O https://artifacts.elastic.co/downloads/beats/filebeat/filebeat-oss-7.8.1-darwin-x86_64.tar.gz tar xzvf filebeat-oss-7.8.1-darwin-x86_64.tar.gz
- Download the Filebeat Windows zip file from the official downloads page.
- Extract the contents of the zip file into C:\Program Files.
- Rename the
- Open a PowerShell prompt as an Administrator (right-click the PowerShell icon and select Run As Administrator). If you are running Windows XP, you may need to download and install PowerShell.
- Run the following commands to install Filebeat as a Windows service:
cd 'C:\Program Files\Filebeat' .\install-service-filebeat.ps1`
PowerShell.exe -ExecutionPolicy UnRestricted -File .\install-service-filebeat.ps1.
There are several built in filebeat modules you can use. You will need to enable the Logstash module.
sudo filebeat modules list sudo filebeat modules enable logstash
cd <EXTRACTED_ARCHIVE> ./filebeat modules list ./filebeat modules enable logstash
cd <EXTRACTED_ARCHIVE> .\filebeat.exe modules list .\filebeat.exe modules enable logstash
Additional module configuration can be done using the per module config files located in the modules.d folder, most commonly this would be to read logs from a non-default location
- module: logstash # logs log: enabled: true # Set custom paths for the log files. If left empty, # Filebeat will choose the paths depending on your OS. var.paths: ["/custom/path/to/logs"] # Slow logs slowlog: enabled: true # Set custom paths for the log files. If left empty, # Filebeat will choose the paths depending on your OS. var.paths: ["/custom/path/to/logs"]
We'll be shipping to Logstash so that we have the option to run filters before the data is indexed.
Comment out the elasticsearch output block.
## Comment out elasticsearch output #output.elasticsearch: # hosts: ["localhost:9200"]
Let's check the configuration file is syntactically correct by running directly inside the terminal.
If the file is invalid, will print an
error loading config file error message with details on how to correct the problem.
sudo -e -c /etc//.yml
cd <EXTRACTED_ARCHIVE> ./ -e -c .yml
cd <EXTRACTED_ARCHIVE> .\.exe -e -c .yml
Ok, time to start ingesting data!
sudo systemctl enable filebeat sudo systemctl start filebeat
PS C:\Program Files\Filebeat> Start-Service filebeat
What Is Logstash?
Logstash is an open-source light-weight processing pipeline created by Elastic. It is the most popular data pipeline used for Elasticsearch as their close integration allows for powerful log processing capabilities.
What is Logstash Used For?
Logstash makes up an essential part of the ELK Stack as it provides the easiest solution for collecting, parsing, and storing logs for analysis & monitoring.
Logstash’s wide range of over 200 open-source plugins help you easily index your data across multiple log types including error, event & web server files from hundreds of popular integrations. The tool offers an array of input, output, & filter plugins for enriching, and transforming data from a variety of sources including Golang, Google Cloud, & Azure.
What Are The Advantages Of Using Logstash?
Some of the advantages of using this pipeline include high availability & flexibility, due to the wide adoption of ELK & the large community supporting their regularly maintained plugins. Some of the most popular plugins include Logtrailing (for tailing live events), Beats (including Metricbeat & Heartbeat), & TCP.
Logstash also benefits from having a straightforward configuration format that reduces the complexity of getting started with ELK. Data ingestion using Logstash is enriched prior to being indexed by Elasticsearch, making it readily available for filtering, analysis & reporting in Kibana once data is migrated to your ELK Stack