The Architectural Strategy
Modern telemetry forwarders have evolved into massive, bloated application layers. By forcing single agents to handle heavy multi-language plugin runtimes and inline metrics calculations, they create dangerous resource bottlenecks at the logging edge.
LogFluent re-establishes structural bounds. It strips out embedded interpreters, avoids uncompiled dependency layers, and behaves strictly as a high-speed, stateless string tokenization engine written in native Go.
- Pure Go Implementation: Compiles down to a single binary with zero deployment runtime dependencies.
- Stateless Core Logic: Focuses exclusively on raw regex tokenization and JSON serialization. Does not store data or calculate independent metrics.
- External Routing Pipeline: Automatically outputs clean, structural telemetry payloads directly to external platforms like Prometheus or Grafana.
Fluent String Processing Syntax
The name LogFluent reflects a rigid software engineering reality: utilizing a clean, fluent syntax structure to execute hyper-efficient string matching workflows behind the scenes without complex configuration nesting.
# /etc/logfluent/pipeline.yaml
pipeline:
id: "stateless-edge-parser"
workers: 4
ingress:
type: "stream"
listen: "unix:///var/run/logfluent.sock"
parsing:
engine: "regex"
pattern: '^\[(?P<time>\d+)\]\s+(?P<level>\w+)'
format: "json"
egress:
sink: "http"
endpoint: "https://metrics.internal"