Traefik Log Dashboard

Open-source Traefik analytics, honestly reviewed. No marketing fluff, just what you get when you deploy it.

TL;DR

• What it is: Open-source (AGPL-3.0) analytics dashboard for Traefik reverse proxy logs — real-time traffic analysis, IP geolocation, status codes, and service metrics, all in one UI [README].
• Who it’s for: Self-hosters and small engineering teams already running Traefik who want visibility beyond its built-in dashboard [README][2].
• Cost savings: There is no SaaS version to escape from. This is a free self-hosted tool. The comparison is between running this on your existing VPS versus paying for Grafana Cloud or a managed observability stack that can run $50–$300/mo.
• Key strength: Genuinely fast setup (Docker Compose, under 5 minutes) and automatic GeoIP out of the box — no MaxMind account, no manual database wiring [README].
• Key weakness: AGPL-3.0 license means any modifications you ship to users must be open-sourced. 22 forks on 743 stars suggests the community is watching rather than contributing. No third-party independent reviews exist at time of writing [README][GitHub].

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What is Traefik Log Dashboard

To understand this tool you need to understand what it’s sitting on top of. Traefik is a cloud-native reverse proxy and load balancer that’s become the default ingress controller for Docker and Kubernetes homelab setups [1][2]. Unlike nginx or Apache, Traefik discovers services automatically by watching Docker labels or Kubernetes resources — you deploy a container, Traefik picks it up and routes to it, no config file reload required [1][4]. It’s the de-facto standard for anyone running more than three self-hosted services behind a single domain.

The problem is that Traefik’s built-in dashboard tells you what’s routed, not what’s happening in your logs. If you want to know which IPs are hitting your services, which endpoints are returning 500s, or where in the world your traffic is coming from, the built-in UI won’t help [2]. That’s the gap Traefik Log Dashboard fills.

The tool has two components. First, a lightweight Go-based agent that tail-follows your Traefik access log and error log files and exposes the parsed data via a REST API. Second, a Next.js 15 dashboard (built with Shadcn UI) that pulls from that agent and renders charts, geographic maps, and filterable log tables [README]. The optional third piece is a terminal-based CLI using Bubble Tea for people who want the same data without a browser.

The project is maintained by hhftechnology, which also maintains a Discord server with 994+ members. As of this review it sits at 747 GitHub stars with 22 forks and 394 commits [GitHub].

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Why people choose it

The available sources describe Traefik extensively [1][2][3][4] but don’t review this specific dashboard directly — which is itself a data point. Traefik Log Dashboard is a niche tool for a niche audience, and independent reviews don’t exist yet. What we have is the GitHub README, the Docker Hub pull counts, and the project’s own documentation.

The honest “why people choose this” comes from the problem space rather than review aggregation.

The Traefik built-in dashboard is read-only infrastructure status, not traffic analytics. Traefik ships with a dashboard that shows routers, services, middlewares, and current health [2]. It does not show you: which client IPs are hammering your login endpoint, what percentage of your traffic is returning 4xx errors, or whether that spike at 3am came from Germany or your own network. Anyone who’s gone hunting for this information knows the answer is usually “export to Loki, set up Grafana, write some LogQL” — and that’s a multi-hour project [README].

The GeoIP angle is genuinely useful for homelab operators. Traefik handles real internet traffic once you expose services via dynamic DNS or a VPS. Knowing that 40% of your 404s come from Chinese IP ranges matters for deciding whether to geo-block at the firewall level. Traefik Log Dashboard includes automatic IP geolocation with an interactive 3D globe visualization, and it works without any API keys or separate database setup [README]. That’s the specific feature that makes this worth deploying over a quick grep session.

Multi-agent architecture for people with multiple Traefik instances. If you run a homelab and a VPS and maybe a client’s setup, the multi-agent design means one dashboard can pull from all of them simultaneously [README]. The alternative is running separate Grafana instances or manually SSH-ing into each box.

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Features

Based on the README and project documentation:

Log ingestion and parsing:

• Tails both Traefik access logs and error logs in real time [README]
• Supports JSON log format (the default Traefik format) and common log format [README]
• Position tracking — survives restarts without reprocessing the entire log file [README]
• Go-based agent is lightweight: designed to run alongside an existing Traefik container without meaningful resource overhead [README]

Dashboard views:

• Overview dashboard: aggregate traffic metrics, request counts, response time distributions [README]
• Client dashboard: per-IP breakdown of request volume and behavior [README]
• Traffic dashboard: HTTP method, status code, and endpoint analysis [README]
• System dashboard: system monitoring metrics when TRAEFIK_LOG_DASHBOARD_SYSTEM_MONITORING=true [README]
• Logs dashboard: filterable raw log viewer, up to 500 entries displayed (configurable) [README]
• Maps dashboard: geographic visualization with 3D globe [README]

Filtering:

• Include/exclude modes for geographic and custom filters [README]
• Advanced filter interface for slicing log data by IP, country, status code, service [README]

Alerting:

• Discord webhook integration for background alerting [README]
• Daily summary reports [README]
• Threshold-based alerts [README]

Multi-agent:

• Single dashboard instance can connect to multiple agents across different servers [README]
• Each agent connects to one Traefik instance’s log files [README]

Deployment options:

• Docker Compose (primary path) [README]
• Kubernetes via Helm chart (charts/traefik-log-dashboard directory exists in repo) [README]
• Optional terminal CLI with Bubble Tea [README]

What’s not included: no log storage (it reads from Traefik’s own log files, doesn’t replace them), no alerting integrations beyond Discord, no authentication on the dashboard itself beyond the agent token [README].

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Pricing: SaaS vs self-hosted math

Traefik Log Dashboard has no SaaS version. It’s a pure self-hosted open-source project under AGPL-3.0. The cost is:

• Software license: $0 [README]
• Infrastructure to run it: effectively $0 additional — the agent runs on the same server as Traefik, the dashboard needs minimal RAM (Next.js 15, no database)

The relevant cost comparison is against alternatives:

Grafana Cloud (free tier): 10,000 metrics series, 50GB logs, limited retention. The free tier covers small setups but Grafana + Loki + Promtail requires significantly more configuration than a Docker Compose file and two environment variables. Configuration time has real cost.

Grafana Cloud (Pro): $8/month per seat plus usage. For log ingestion, the cost scales with volume. A busy Traefik instance generating 1GB/day of access logs can add up quickly.

Datadog / New Relic / Elastic Cloud: These start at $15–$25/month per host and are designed for engineering teams with observability budgets, not homelab operators.

GoAccess (free, open source): The closest alternative. GoAccess is a terminal-based and web-based log analyzer that supports Traefik log formats. It’s lighter, faster, and arguably more mature. No 3D globe, no multi-agent, no Discord alerts.

If you’re already paying for a managed observability stack just to analyze Traefik logs, Traefik Log Dashboard plus a static $5–$6/mo VPS (or just your existing homelab server) replaces that cost entirely. If you’re using GoAccess, you’re trading a richer UI and multi-agent support for a marginally more complex deployment.

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Deployment reality check

The README’s “Quick Start: Get started in under 5 minutes with Docker Compose” is accurate for the straightforward case [README]. Here is what that actually involves:

1. Create three directories: data/logs, data/positions, data/dashboard
2. Copy the provided docker-compose.yml
3. Generate a token with openssl rand -hex 32 and update two environment variables
4. Create the Docker network if it doesn’t exist
5. docker compose up -d
6. Open http://localhost:3000

The catch is step zero: your Traefik container must be writing access logs to a file, and that file must be mounted into the agent container. Traefik doesn’t write access logs by default — you have to enable them in your Traefik config with accessLog: {} and specify a file path [1][2]. If you’ve never done this, budget an extra 15–30 minutes to find the right Traefik configuration syntax and verify logs are actually appearing.

What can go sideways:

• Log format mismatch. The agent defaults to JSON log format (TRAEFIK_LOG_DASHBOARD_LOG_FORMAT=json). If your Traefik is configured to write Common Log Format, you’ll see parsing errors. Environment variable exists to fix this but you have to know to check it [README].
• Network connectivity. The default docker-compose uses a network called pangolin (an hhftechnology network naming convention from their other projects). If your Traefik is on a different network, the agent won’t see the log files and you’ll need to adjust the volume mount path [README]. This is the most likely first-boot failure for new users.
• No dashboard authentication. The dashboard at port 3000 has no built-in login screen. The agent-to-dashboard communication is token-authenticated, but the dashboard UI itself is open to anyone who can reach port 3000. If you’re exposing this on a VPS, put it behind Traefik (yes, using Traefik to protect the Traefik dashboard) with basic auth or forward auth middleware [2][README].
• AGPL-3.0 implications. If you modify the source and deploy it as a service to external users, AGPL-3.0 requires you to publish those modifications. For homelab use this doesn’t matter. For agencies deploying this to client servers, this is a legal question worth asking [GitHub].

Realistic time estimate for someone already running Traefik with access logging enabled: 15–30 minutes to a working dashboard. For someone who needs to enable Traefik access logging first: 45–90 minutes. For someone setting up Traefik from scratch plus this dashboard: budget an afternoon [1][2][README].

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Pros and Cons

Pros

• Genuinely fast setup. Docker Compose with five steps is not marketing copy — if your Traefik logs are in the right place, you can have a running dashboard in one coffee break [README].
• Automatic GeoIP with no API keys. Most tools that offer IP geolocation require a MaxMind account, a license key, and a periodic database refresh cron job. This one doesn’t [README]. For homelab operators, this is the single biggest friction-reducer compared to alternatives.
• Multi-agent from the start. Managing multiple Traefik instances from one dashboard is a real feature for anyone running both a homelab and a VPS. Grafana handles this via data sources but requires considerably more setup [README].
• Multi-view dashboard. Seven distinct dashboard views (overview, client, traffic, system, maps, logs, filters) cover the main observability questions without requiring custom queries or panel building [README].
• Discord alerting out of the box. Threshold alerts and daily summaries via Discord webhooks require zero extra infrastructure — just a webhook URL [README]. For solo operators who live in Discord, this beats configuring PagerDuty.
• Go-based agent. The parser component is lightweight and fast. Go is the right choice for a long-running log-tailing process [README].
• Helm chart available. Kubernetes deployment via Helm is documented for teams who’ve graduated from Docker Compose [README].

Cons

• AGPL-3.0, not MIT. This matters if you plan to embed or modify the dashboard for commercial use. The reference Activepieces review praised MIT licensing specifically — AGPL requires source disclosure for any public deployment of modified versions [GitHub]. Homelab users: doesn’t matter. Agencies deploying to client infrastructure: read the license.
• No dashboard authentication. The UI has no built-in login. For any internet-accessible deployment, you need to add auth at the reverse proxy layer [README]. This is a real omission for a tool that shows you server IP addresses and traffic patterns.
• 22 forks on 743 stars. The forks-to-stars ratio suggests most users are consumers, not contributors. Bugs and feature gaps may wait longer than comparable tools with healthier contribution rates [GitHub].
• hhftechnology ecosystem coupling. The default Docker Compose references a network called pangolin, which is a naming convention from hhftechnology’s broader self-hosted suite. Not a blocker, but indicates the tool is optimized for hhftechnology’s own stack first [README].
• No independent reviews exist. All third-party sources available for this review are about Traefik itself, not this dashboard [1][2][3][4][5]. The project hasn’t reached the critical mass where reviewers are writing about it. You’re placing a bet on a small project.
• Log storage is not included. The dashboard reads from Traefik’s live log file. If you rotate logs, historical data before the rotation window disappears. There is no persistent log store built in [README].
• Limited integration surface. Discord webhooks or nothing. No Slack, no PagerDuty, no email — if your team isn’t on Discord, the alerting feature is irrelevant [README].

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Who should use this / who shouldn’t

Use Traefik Log Dashboard if:

• You’re already running Traefik as your reverse proxy and want visibility without setting up a full observability stack.
• You manage multiple Traefik instances (homelab + VPS, or multiple client servers) and want one pane of glass.
• You want automatic GeoIP visualization without API key management.
• Your team or community is on Discord and you want threshold alerts there.
• You have 30–90 minutes to spare and want something working today rather than configuring Grafana + Loki over a weekend.

Skip it (use GoAccess instead) if:

• You want a lighter, more established open-source log analyzer with a proven track record and broader community.
• You prefer a terminal-native tool or a simple static HTML report.
• You’re concerned about running a Next.js 15 stack just to analyze logs.

Skip it (use Grafana + Loki instead) if:

• You need persistent log storage with historical querying.
• You want dashboard customization beyond what’s provided out of the box.
• You’re already in the Grafana ecosystem for other services and want one unified place.
• Your team has multiple people who need access with different permission levels.

Skip it entirely if:

• You’re not running Traefik. This tool is 100% specific to Traefik log formats — it does nothing for nginx, Caddy, or HAProxy logs [README][1].
• You need dashboard authentication built in and won’t have a reverse proxy in front of this service.
• You’re evaluating this for a commercial deployment and need an MIT or Apache 2.0 license.

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Alternatives worth considering

• GoAccess — the mature comparison. Terminal and web-based log analyzer that supports Traefik’s log format. Lighter weight, single binary, no Docker required. Less visually rich, no multi-agent, no Discord alerting. Genuinely worth evaluating first.
• Grafana + Loki + Promtail — the full observability stack. Persistent storage, custom dashboards, multi-service metrics, proper RBAC. Setup cost is 2–4 hours minimum. Overkill for homelab log visibility, necessary for production engineering teams [2].
• Traefik’s built-in dashboard — free, already there, tells you routing state but nothing about log patterns [2]. Use this for infrastructure status, not traffic analysis.
• Elasticsearch + Kibana (ELK stack) — powerful but heavy. Kibana alone wants 2GB RAM. Not a realistic option for the same audience running Traefik on a $6 VPS.
• Traefik Hub — Traefik Labs’ commercial SaaS offering that includes API gateway features and observability. Pricing data not available at time of review [2]. Different product category — cloud-managed vs self-hosted.
• Netdata — broad system monitoring that includes network traffic metrics. Not Traefik-specific but covers system-level visibility that complements log analysis [README].

The realistic shortlist for someone running Traefik who wants log visibility: Traefik Log Dashboard vs GoAccess vs Grafana+Loki. Pick Traefik Log Dashboard if you want a fast setup and geographic visualization. Pick GoAccess if you want something lighter with a longer track record. Pick Grafana+Loki if you need persistent storage and you’re already maintaining a Grafana instance.

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Bottom line

Traefik Log Dashboard is a focused tool that solves a real problem for a specific audience: people running Traefik who want to see what’s actually hitting their services without standing up a full observability platform. The setup is genuinely as fast as advertised, the automatic GeoIP is a meaningful quality-of-life feature, and the multi-agent architecture covers the realistic homelab-plus-VPS use case. The trade-offs are honest: AGPL-3.0 instead of MIT, no built-in authentication, a small contributor community, and no independent reviews to corroborate the README’s claims. For a solo self-hoster or small team already invested in the Traefik ecosystem, it’s worth the 30 minutes to try. For anyone who needs enterprise-grade observability, audit trails, or persistent log storage, the Grafana stack is the answer regardless of how nice the 3D globe looks.

If deploying and configuring the infrastructure is the blocker, upready.dev handles that as a one-time engagement — you get a working setup without spending your weekend on Docker networking.

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Sources

1. Baeldung — “Introduction to Traefik”. https://www.baeldung.com/traefik-tutorial
2. Traefik Labs — “Traefik, The Cloud Native Application Proxy”. https://traefik.io/traefik
3. Web Hosting Geeks — “What is Traefik? How it Works, Features, Functions, and Benefits Explained”. https://webhostinggeeks.com/blog/traefik-features-functions-benefits/
4. DEV Community (Abdellani) — “How Traefik Turns Kubernetes Changes Into Live Routing Updates”. https://dev.to/abdellani/how-traefik-turns-kubernetes-changes-into-live-routing-updates-4gd3
5. United Manufacturing Hub — “Setting Up a UniFi Controller on Kubernetes with Flatcar and Traefik”. https://www.umh.app/insight/how-to-set-up-a-unifi-controller-on-kubernetes-with-flatcar-and-traefik

Primary sources:

• GitHub repository and README: https://github.com/hhftechnology/traefik-log-dashboard (747 stars, AGPL-3.0 license, 394 commits)