Talk To your logs. Stop querying.
LogLynx is the observability platform that lets you ingest parser and debug infrastructure with natural language AI, on a professional, high-performance dashboard


Compatible Stacks
GolangNodeJsDockerKubernetesMongoDBNginx
Pipeline Architecture
Monolithic Logging Workflow
Configuration Reference
| CLI Flag | Env / Docker | Description |
|---|---|---|
| --api-key | API_KEY | Authentication key to securely connect the agent to your LogLynx instance. (Required) |
| --api-url | API_URL | Destination URL for ingestion. Defaults to the production API if omitted. |
| --log-file | Volume Mount | Path to the host log file (e.g., ./logs/app.log). Mapped internally to /host/logs/app.log. |
| --config-file | Volume Mount | Path to your agent.yml configuration file. Mapped internally to /host/config/agent.yml. |
| N/A | /proc & /cgroup | Linux-only volume mounts required for the agent to access and collect host system metrics. |
Installation Notes
- Strict Volume Mappings:When modifying the Docker run command manually, only change the paths on the left side of the colon (:). The internal container paths (/host/...) are hardcoded and must not be altered.
- Verifying Deployment:The agent runs silently in the background. To verify it is active, use `docker ps`. To monitor the real-time ingestion of your logs, run `docker logs loglynx`.
- Handling Multi-line Logs:The split_pattern regex in your agent.yml is critical for keeping stack traces grouped as a single event. Ensure it exactly matches the timestamp format used at the beginning of your log entries.
TRANSPARENT PRICING FOR MODERN ENGINEERING
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