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guang diyuzhi

Posted on Originally published at pikvue.com

5 Free Monitoring Tools That Keep Indie SaaS Alive

Every SaaS product needs monitoring, but paid tools like Datadog and New Relic cost more than many indie developers' entire hosting bill. Running a SaaS product on a $50/month infrastructure budget with only free monitoring tools is entirely doable. Here are the five tools that give the same visibility as enterprise stacks without the enterprise pricing.

Quick Verdict

You can build a complete monitoring stack for zero monthly cost using Uptime Kuma (uptime), Sentry (errors), Grafana (metrics), Plausible (analytics), and Highlight (session replay). The trade-off is self-hosting for Uptime Kuma and Grafana—you need a $6/month VPS to run them. Sentry's free tier covers 5,000 errors per month. Plausible's self-hosted version is completely free. Highlight's free tier includes 10,000 events and session replay. Total infrastructure cost for the self-hosted tools: $6/month VPS. This stack covers 90% of what Datadog does at 99% less cost.

1. Uptime Kuma — Uptime Monitoring

Uptime Kuma is a self-hosted uptime monitor with a clean dashboard, 90-second check intervals, and notifications via Telegram, Discord, Slack, email, and 20+ other channels. It monitors HTTP, TCP, Ping, DNS, and SSL certificate expiry. Setup takes about 5 minutes with Docker. A single $6/month VPS can comfortably monitor 15 endpoints, and alerts typically arrive before users report an outage — that's the whole point of the tool.

2. Sentry — Error Tracking

Sentry's free tier (5,000 events/month) covers error tracking for most early-stage SaaS products. The SDKs automatically capture unhandled exceptions with full stack traces, browser information, and user context. Performance tracing is not included in the free tier, but basic error capture is sufficient for most indie projects. The session replay feature (paid) periodically records user sessions for debugging—consider upgrading when you need it.

3. Grafana + Prometheus — Infrastructure Metrics

Grafana with Prometheus is the industry standard for server metrics visualization. Self-host on the same VPS as Uptime Kuma. Monitor CPU, memory, disk, network, and application-specific metrics. Set up alerting rules for high CPU usage, disk space running low, or unusual traffic patterns. The learning curve is steep, but once configured, Grafana provides enterprise-grade observability at zero software cost. Pre-built dashboards for Postgres, Nginx, Node.js, and Docker are available from the Grafana community.

Tool Monitors Cost Setup
Uptime Kuma Uptime, SSL, DNS $0 + VPS 5 min (Docker)
Sentry Errors, exceptions $0 (5K events) 10 min (SDK)
Grafana + Prometheus CPU, RAM, disk, network $0 + VPS 60 min (config)
Plausible Website analytics $0 (self-hosted) 15 min (Docker)
Highlight Session replay, logs $0 (10K events) 15 min (SDK)

4. Plausible — Website Analytics

Plausible is a privacy-focused website analytics platform that provides all essential metrics (page views, unique visitors, bounce rate, referrers, countries, devices) without cookies. The self-hosted version is completely free and runs on the same VPS as your other monitoring tools. Plausible's dashboard is clean, fast, and distraction-free. The key advantage over Google Analytics is simplicity—2 minutes to install vs 30 minutes of GA4 configuration. Plausible's API exports data for custom dashboards and reporting.

5. Highlight — Session Replay and Logs

Highlight combines session replay, error monitoring, and log management in a single open-source platform. The free tier includes 10,000 events per month with session replay recordings—generous for most indie projects. Highlight's session replay shows exactly what users saw when errors occurred, similar to Sentry's session replay but included in the free tier. The self-hosted option (open source) provides unlimited events at your infrastructure cost. Highlight is the best free alternative to FullStory and Hotjar for understanding user behavior during errors.

Who Should Use What?

Every indie developer should set up: Uptime Kuma (uptime alerts), Sentry (error capture), and Plausible (analytics). These three tools cover the most critical monitoring needs for any web application at near-zero cost. Add Grafana + Prometheus when: you need to debug performance issues, your application is growing beyond a single server, or you want to visualize infrastructure metrics for capacity planning. Add Highlight when: you encounter bugs that are hard to reproduce locally and need session recordings to understand user behavior.

Limitations

  • Self-hosting requires maintenance — Uptime Kuma, Grafana, and Plausible need occasional updates and backups. Budget 1-2 hours per month for maintenance.
  • Sentry free tier limits — 5,000 events per month runs out quickly if your application generates frequent errors. Monitor your event count and upgrade when necessary.
  • No APM for free — Application performance monitoring (database query tracing, external API timing) is not available in any free tier. Grafana + Prometheus covers server-level metrics but not application-level traces. Alert fatigue — Without proper configuration, monitoring tools generate too many alerts. Set meaningful thresholds and notification schedules to avoid ignoring critical alerts.

The Bottom Line

A complete monitoring stack does not have to cost $100+ per month. Uptime Kuma, Sentry, Grafana, Plausible, and Highlight provide enterprise-grade observability for $6/month (VPS hosting) plus your time to set them up. Start with Uptime Kuma + Sentry + Plausible on day one of your project. Add the others as your application grows and your monitoring needs become more specific.

Assembling the Monitoring Stack

A self-hosted monitoring stack runs comfortably on a ~$6/month VPS with Ubuntu 24.04 and Docker Compose. The compose file defines four services: Uptime Kuma (port 3001), Grafana (port 3000), Prometheus (port 9090), and Plausible (ports 8000 and 8001). Each service needs its own volume for persistent data, and a Caddy reverse proxy handles SSL termination for all of them. Memory is the binding constraint — budget roughly a gigabyte for the set.

The Grafana + Prometheus setup requires configuring node_exporter on your application servers to expose metrics. The node_exporter installation adds minimal overhead (tens of MB of RAM per server) and provides CPU, memory, disk I/O, network traffic, and process metrics. Pre-built dashboards are available from the Grafana dashboard marketplace. A single dashboard can show all key metrics (CPU > 80%, disk > 85%, memory > 85%, network errors, and disk I/O latency) with alerting rules that notify via Telegram when thresholds are exceeded.

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Originally published at pikvue.com — independent 2026 reviews and comparisons of developer tools, AI products, and SaaS platforms.

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