LogForge
Developer-focused monitoring and alerting for Docker containers
294 stars 16 forks last commit first released Apache-2.0
Actively maintained
Last commit 12 Jun 2026.

LogForge is a developer-focused monitoring and alerting dashboard for Docker environments. It autodetects containers, streams live logs and provides UI-driven rules, notifications and safe remediation actions for containerised services.
Key Features
- Automatic Docker service discovery and status (running, crashed, stopped)
- Real-time log streaming and filtering per container
- Interactive per-container terminal access and file system viewer
- UI-driven Alert Engine with one-click rule templates and scoped rules
- Safe auto-remediation (restart/stop/kill/start/run scripts) with cooldowns, backoff and verification delays
- Multi-step actions and notification channels (Email, Slack, Discord, Telegram, Gotify and others)
- Alert history, acknowledgement, duplicate-rule protection and noise controls (case sensitivity, AND/OR matches, ignore lists)
- Test notifications, health/self-check endpoints and configurable container grouping
- Docker Compose friendly deployment and minimal operational overhead
Use Cases
- Local development and staging: tail container logs, open interactive shells, and diagnose crashes without SSH.
- Small teams running Dockerized services: set up keyword- and event-based alerts to detect regressions and performance issues quickly.
- Automated incident response: define safe, guardrailed remediation workflows to restart or run validated scripts when containers fail.
Limitations and Considerations
- Core backend is source-available and interacts directly with the Docker socket; several non-core components (Alert Engine, Notifier and other tooling) are proprietary/restricted per the project's licensing notes.
- Designed primarily for Docker-first workflows; integrations with large-scale observability stacks (e.g., Loki/ELK) may require additional tooling or customization.
LogForge provides a compact, self-hosted alternative to heavyweight observability stacks with an emphasis on developer workflows and safe automation. It is intended for teams that want quick visibility and guarded remediation for Docker container fleets.
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