Peekaping

Open-source uptime monitoring, honestly reviewed. No marketing fluff, just what you get when you self-host it.

TL;DR

• What it is: MIT-licensed, self-hosted uptime monitoring built on Go + React — a modern architectural take on the problem that Uptime Kuma popularized [README].
• Who it’s for: DevOps engineers and technical founders who want Uptime Kuma’s simplicity plus a REST API, multi-database support, and cleaner extension points for CI/CD and Infrastructure as Code [README].
• Cost savings: UptimeRobot Pro runs $7–35/mo depending on monitor count. Betterstack starts at $24/mo. Peekaping self-hosted costs the price of a VPS — $5–10/mo on Hetzner or Contabo with unlimited monitors [README].
• Key strength: API-first design with a complete RESTful API and a community Terraform provider — Uptime Kuma has neither [README].
• Key weakness: Still in beta. The project explicitly asks you not to run it in production yet, which is the most honest disclaimer in the self-hosted monitoring space [README].

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What is Peekaping

Peekaping is a self-hosted uptime monitoring tool. You point it at your URLs, TCP services, databases, message brokers, and DNS records — it checks them on a schedule, shows you a dashboard, and fires alerts when things break. That’s the core job, and it does it.

The project’s self-description — “Open Source Uptime Kuma Alternative” — is about as direct as a GitHub README gets. The comparison is fair. Uptime Kuma solved a real problem: nobody wanted to pay UptimeRobot $20/month just to check whether their app was up. Uptime Kuma gave them a clean self-hosted answer and amassed 60K+ stars doing it. Peekaping is betting there’s a second audience who wants that same simplicity with a better technical foundation [README].

The architectural argument is spelled out in the README: Uptime Kuma is Node.js, single-database (SQLite), and has no official REST API. Peekaping is Go (fast, low memory), supports SQLite, PostgreSQL, and MongoDB, and treats its REST API as the foundation rather than an afterthought [README]. A community Terraform provider already exists at registry.terraform.io, which tells you something about where the target user base sits — this is aimed at teams who manage infrastructure declaratively [README].

The project is MIT-licensed, built by a single maintainer (0xfurai), with 1,061 stars and 54 forks on GitHub at time of writing. It has a live demo at demo.peekaping.com and real documentation at docs.peekaping.com. For a beta project, the scaffolding is serious [README].

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Why People Choose It Over Uptime Kuma and the SaaS Options

Third-party review coverage of Peekaping is thin — the project is young enough that aggregator sites have it listed but not yet deeply written up [1]. The comparison case has to be built from the README and what Uptime Kuma users actually complain about.

Versus Uptime Kuma. The criticisms that bubble up consistently in self-hosted monitoring threads: Uptime Kuma has no REST API (automating monitor creation requires hacking the socket.io interface or using unofficial wrappers), SQLite-only storage creates scaling concerns past a certain monitor count, and the Node.js runtime uses meaningfully more RAM than a comparable Go binary. Peekaping addresses all three directly [README]. The trade-off is maturity — Uptime Kuma has years of production use, a massive community, and thousands of answered GitHub issues. Peekaping has 408 commits and a beta warning.

Versus UptimeRobot (SaaS). UptimeRobot’s free tier gives you 50 monitors at 5-minute check intervals, which covers most small projects. The pain starts when you need 1-minute checks (requires paid Pro at $7–35/mo), when you want status page customization, or when you want your monitoring data to live somewhere other than their servers. Peekaping on a $5 VPS gives you unlimited monitors, configurable intervals, and full data ownership [README].

Versus Betterstack. Betterstack is polished SaaS with a good free tier (10 monitors, 3-minute intervals) and genuinely nice incident management features. Their paid tiers start at $24/mo and scale with monitor count and check frequency. If you’re hitting $40–80/mo on Betterstack for a medium-sized stack, the self-hosted math becomes obvious. Peekaping’s monitoring breadth (gRPC, Kafka, SNMP, MQTT) competes directly with Betterstack’s more developer-focused tiers [README].

Versus Grafana + Prometheus. This is a different category — Prometheus is a pull-based metrics system, not a synthetic uptime checker. Teams running both use them for different jobs. Peekaping doesn’t replace Prometheus; it does what Blackbox Exporter does for uptime, with a friendlier UI and integrated alerting [README].

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Features

Monitor types (16 built in):

• HTTP/HTTPS with status code and keyword checks
• TCP port connectivity
• Ping (ICMP)
• DNS record resolution
• Push (incoming webhook — your service reports in, rather than Peekaping polling)
• Docker container health
• gRPC service health
• SNMP
• Database connectivity: PostgreSQL, Microsoft SQL Server, MongoDB, Redis, MySQL/MariaDB
• Message broker connectivity: MQTT, RabbitMQ, Kafka Producer

The database and broker monitors are worth calling out — most uptime tools treat these as second-class citizens that need plugins or workarounds. Peekaping lists them as first-class monitor types [README].

Alert channels (22 built in): Email (SMTP), Webhook, Telegram, Slack, Google Chat, Signal, Mattermost, Matrix, Discord, WeCom, WhatsApp via WAHA, PagerDuty, Opsgenie, Grafana OnCall, NTFY, Gotify, Pushover, SendGrid, Twilio, LINE Messenger, PagerTree, Pushbullet [README].

That’s a wider notification surface than most commercial tools offer without a paid tier upgrade.

Infrastructure features:

• REST API (every function accessible via API) [README]
• Community Terraform provider for declarative monitor management [README]
• Three database backends: SQLite (single-file, great for small installs), PostgreSQL (recommended for production), MongoDB [README]
• Multi-Factor Authentication with brute-force login protection [README]
• SSL certificate expiration monitoring built in [README]
• Status pages with custom branding [README]
• SVG status badges for embedding in READMEs or dashboards [README]
• API key management with access control [README]

What’s missing (or not confirmed):

• Team/multi-user support with RBAC — the README mentions access control via API keys, but granular per-team permissions aren’t documented
• SSO/LDAP — no mention in the README or features list
• On-call scheduling and escalation policies (unlike PagerDuty or Betterstack’s incident features)
• Incident history and postmortem tools
• Pricing data for a managed cloud option — if one exists, it wasn’t findable at time of writing

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Pricing: SaaS vs Self-Hosted Math

Peekaping self-hosted:

• Software license: $0 (MIT) [README]
• VPS: $5–10/mo (Hetzner CX11 at 2 vCPU / 2GB RAM handles this comfortably given Go’s low footprint)
• Database: bundled SQLite or your existing PostgreSQL

UptimeRobot for comparison:

• Free: 50 monitors, 5-minute check intervals
• Pro: $7/mo per user for 50 monitors at 1-minute intervals
• Pro 100: ~$20/mo for 100 monitors
• Business: ~$35/mo for 100 monitors with advanced features

Betterstack for comparison:

• Free: 10 monitors, 3-minute intervals, basic on-call
• Starter: $24/mo — 30 monitors, 1-minute intervals
• Production: $52/mo — 50 monitors, 30-second intervals, on-call scheduling

Realistic savings math:

A startup running 40 monitors at 1-minute intervals with Slack + PagerDuty alerts: UptimeRobot Pro puts you at roughly $14–20/mo; Betterstack Starter at $24/mo. That’s $170–290/year. On a $6/mo Hetzner VPS with Peekaping, the same setup costs $72/year — and you’re not capped on monitor count.

A team running 150 monitors hits the wall on most SaaS tiers — you’re looking at custom/enterprise pricing or multiple account juggling. With Peekaping self-hosted, 150 monitors on a $10/mo VPS (4GB RAM for comfort) is $120/year regardless. If you were spending $80/mo on a commercial uptime tier, that’s $960/year saved — before accounting for the fact that commercial tools often charge extra for notification channel volume.

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Deployment Reality Check

The quick start in the README is genuinely quick:

docker run -d --restart=always \
  -p 8383:8383 \
  -e DB_NAME=/app/data/peekaping.db \
  -v $(pwd)/.data/sqlite:/app/data \
  --name peekaping \
  0xfurai/peekaping-bundle-sqlite:latest

One command, SQLite bundled, runs on port 8383. That’s the developer experience the project is aiming for [README].

What you actually need for a real install:

• Linux VPS with 1–2GB RAM (Go binary is lean; SQLite is fine for under ~200 monitors; PostgreSQL recommended past that)
• Docker installed
• A reverse proxy (Caddy is the easiest path — there’s a Caddyfile in the repo) for HTTPS
• A domain name if you want a public status page
• An SMTP provider if you want email alerts

PostgreSQL and MongoDB variants are documented at docs.peekaping.com with their own docker-compose files for each combination [README].

What can go sideways:

• Beta caveat, stated plainly. The README says: “The software is still under active development. Some features could be changed. I recommend testing in non-production environments first.” This is the most important sentence in the documentation. Features can break between versions, and with 408 commits and one maintainer, the release cadence is fast [README].
• Single-maintainer risk. There’s no company behind this, no YC funding, no team page. If 0xfurai goes quiet, you’re on your own maintaining a fork. With 54 forks and 1,061 stars, the community is early-stage.
• Migration complexity. A MIGRATION_SETUP.md exists in the repo, which suggests schema changes have already happened. If you’re running this and an update drops a migration, you need to know enough to handle it [README].
• No Kubernetes Helm chart yet — the Activepieces equivalent has Helm. Peekaping has Docker Compose variants. For Kubernetes users, you’re writing your own manifests (or using the community Terraform provider as a workaround) [README].

Realistic time for a technical user: 20–40 minutes to a running instance with SQLite, including domain + Caddy HTTPS setup. For a non-technical founder: 2–3 hours if following the docs carefully, or hand it to someone technical.

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Pros and Cons

Pros

• API-first, completely. Every function accessible via REST API — this is the gap that Uptime Kuma never filled. Teams managing infrastructure as code can automate monitor creation on deploy [README].
• Terraform provider. A community provider exists for registry.terraform.io — you can declare monitors in HCL alongside your other infrastructure. This is rare in open-source monitoring [README].
• Go backend. Lower RAM and CPU footprint than Node.js alternatives. A $5 VPS handles meaningful monitoring load [README].
• Three database backends. SQLite for simplicity, PostgreSQL for production, MongoDB if that’s your stack. No lock-in to a single storage model [README].
• Wide monitor coverage. gRPC, Kafka, MQTT, SNMP, and all the databases as first-class monitor types — not plugins [README].
• 22+ notification channels. More coverage than most commercial tools at equivalent pricing [README].
• Live demo. demo.peekaping.com lets you evaluate before committing to a deploy [README].
• MIT license. No commercial restrictions, no open-core gotchas [README].

Cons

• Beta. The project says it explicitly. Features change, schema migrations happen, production use is discouraged by the maintainer themselves [README].
• 1,061 stars / single maintainer. For a long-term infrastructure bet, this is a real risk. If the project goes dormant, you own the maintenance burden.
• No SSO or multi-user RBAC documented. For teams of more than a few people, user management becomes manual [README].
• No on-call scheduling or escalation policies. If you’re trying to replace PagerDuty’s incident workflow, you still need PagerDuty (or Grafana OnCall as a Peekaping notification target) [README].
• No managed cloud option confirmed. You either self-host or you don’t use it. There’s no fallback if you want someone else to run the infrastructure.
• Limited community resources. With 1,061 stars and a young project, you’ll find fewer answered questions, fewer community guides, and fewer blog posts than you’d find for Uptime Kuma (60K+ stars) or Checkly [1].
• The “best Uptime Kuma alternative” claim is premature. It’s a credible candidate with better architecture, but it’s younger, smaller, and not production-ready by the maintainer’s own account.

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Who Should Use This / Who Shouldn’t

Use Peekaping if:

• You’re a developer or DevOps engineer who wants uptime monitoring that fits into IaC workflows — Terraform, CI/CD pipelines, API-driven automation.
• You’re hitting UptimeRobot’s monitor limits or paying $20–50/mo for a SaaS tier that feels arbitrary for what you’re getting.
• You’re comfortable with Docker, can handle schema migrations between versions, and accept beta-quality software for non-critical monitoring setups.
• You want Go-level performance on a cheap VPS.

Wait for stable (v1.0) before using it if:

• Your monitoring setup is mission-critical — alerting for customer-facing production systems, on-call triggers, or compliance requirements. The beta status is a real reason to wait here.
• You’re a non-technical founder who can’t manage database migrations or debug a broken Docker container.
• You need SSO, team RBAC, or multi-tenant support.

Stay on Uptime Kuma if:

• You’re already running it, it works, and you don’t need a REST API or multi-database support. Switching for its own sake isn’t worth it.
• You want the largest community, the most answered questions, and years of battle-tested stability.

Stay on SaaS (UptimeRobot/Betterstack) if:

• Your monitor count is under 10 and the free tiers cover you.
• You have no one to manage self-hosted infrastructure.
• You need incident management, on-call scheduling, or postmortem tooling in the same product.

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Alternatives Worth Considering

• Uptime Kuma — the direct comparison, the established choice. ~60K stars, mature, huge community, no API. If you don’t need API-driven monitor management, Uptime Kuma is lower risk today [README].
• Checkly — SaaS, developer-focused, Playwright-based browser checks alongside API monitoring. Strong CI/CD integration. Free tier is limited; paid starts at $40/mo. Closed source.
• UptimeRobot — SaaS, free tier covers most small setups (50 monitors, 5-min intervals). Proprietary, limited customization. Good enough for basic needs without any self-hosting.
• Betterstack (formerly Betteruptime) — polished SaaS with incident management and on-call scheduling. $24–52/mo for serious use. The right call if you want incident workflow without PagerDuty complexity.
• Grafana + Blackbox Exporter — the power-user self-hosted approach. Prometheus-native, infinitely configurable, significant operational overhead. For teams already running Grafana stacks.
• Gatus — another Go-based self-hosted uptime tool, more configuration-file-driven (YAML). Smaller feature surface, simpler architecture. Good alternative if you prefer config-as-code over a UI.
• OpenStatus — newer open-source option with a managed cloud option, more startup energy around it [1].

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Bottom Line

Peekaping is a technically serious attempt to give the self-hosted monitoring space what it’s been missing: API-first design, multi-database support, and Terraform-native infrastructure management. The architectural choices are sound — Go for the backend, REST API as the foundation, plugin-style monitor types. For developers who’ve outgrown Uptime Kuma’s limitations or are tired of paying SaaS pricing for uptime checks, the direction is right.

The honest caveat is that “direction is right” and “ready for production” aren’t the same thing. The beta status is real, the community is small, and the single-maintainer risk is worth naming. If you’re evaluating this in mid-2026 and the star count has climbed past 5K with a stable release tag, most of the concerns here will have resolved. Today, it’s a strong candidate for non-critical monitoring, home labs, and technical teams comfortable living on the beta edge — and a project worth watching for everyone else.

If self-hosting the monitoring stack is the goal but you want someone else to handle the deploy and maintenance, that’s exactly what upready.dev does for clients as a one-time setup.

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Sources

1. OpenAlternative — Open Source Projects tagged “Monitoring” (category listing with peer tools). https://openalternative.co/tags/monitoring

Primary sources:

• GitHub repository and README — https://github.com/0xfurai/peekaping (1,061 stars, MIT license, 408 commits)
• Official website — https://peekaping.com
• Documentation — https://docs.peekaping.com
• Live demo — https://demo.peekaping.com
• Community Terraform provider — https://registry.terraform.io/providers/tafaust/peekaping/latest