Filebeat vs Logstash Forwarder

Developers should use Filebeat when they need to aggregate logs from multiple sources (e meets developers should learn logstash forwarder when working with legacy logging systems or maintaining older elk stack implementations that still rely on it for log collection. Here's our take.

Filebeat

Nice Pick

Developers should use Filebeat when they need to aggregate logs from multiple sources (e

Pros

• g
• Related to: elasticsearch, logstash

Cons

• Specific tradeoffs depend on your use case

Logstash Forwarder

Developers should learn Logstash Forwarder when working with legacy logging systems or maintaining older ELK stack implementations that still rely on it for log collection

Pros

• It's particularly useful in environments where lightweight, secure log forwarding from multiple servers to a central Logstash instance is required, such as in distributed applications or microservices architectures
• Related to: logstash, filebeat

Cons

• Specific tradeoffs depend on your use case

The Verdict

Use Filebeat if: You want g and can live with specific tradeoffs depend on your use case.

Use Logstash Forwarder if: You prioritize it's particularly useful in environments where lightweight, secure log forwarding from multiple servers to a central logstash instance is required, such as in distributed applications or microservices architectures over what Filebeat offers.

The Bottom Line

Filebeat wins

Developers should use Filebeat when they need to aggregate logs from multiple sources (e