Logstash Forwarder vs Fluentd
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 learn fluentd when building or managing distributed systems, microservices, or containerized applications that require centralized logging and monitoring. Here's our take.
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 PickDevelopers 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
Fluentd
Developers should learn Fluentd when building or managing distributed systems, microservices, or containerized applications that require centralized logging and monitoring
Pros
- +It is particularly useful in DevOps and cloud environments for collecting logs from sources like Docker, Kubernetes, and cloud services, and forwarding them to storage or analysis tools like Elasticsearch, Amazon S3, or Splunk
- +Related to: kubernetes, docker
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 Fluentd if: You prioritize it is particularly useful in devops and cloud environments for collecting logs from sources like docker, kubernetes, and cloud services, and forwarding them to storage or analysis tools like elasticsearch, amazon s3, or splunk over what Logstash Forwarder offers.
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