Dynamic

Logstash Forwarder vs Filebeat

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 meets developers should use filebeat when they need to aggregate logs from multiple sources (e. Here's our take.

🧊Nice Pick

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

Logstash Forwarder

Nice Pick

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

Filebeat

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

The Verdict

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

Use Filebeat if: You prioritize g over what Logstash Forwarder offers.

🧊
The Bottom Line
Logstash Forwarder wins

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

Disagree with our pick? nice@nicepick.dev