Peekaping

Proprietary uptime platforms like Uptime Robot meter checks and charge escalating fees as infrastructure expands across internal microservices and databases. Peekaping eliminates those recurring invoices by running synthetic health checks directly on your own hardware with no check or seat limits. Written in Go with an API-first design, it pairs multi-protocol probing with public status pages in a single self-hosted deployment.

Why Peekaping instead of Uptime Robot

Uptime Robot ties pricing to check volume, alert frequency, and check intervals. For engineering teams monitoring dozens of staging environments, background queues, and internal databases, hosted monitoring costs compound quickly. Peekaping removes check count constraints entirely: running the Go binary on a modest virtual machine allows teams to execute hundreds of concurrent probes every few seconds without incurring per-monitor charges.

The difference lies in operational scope. Uptime Robot maintains a global multi-region probe network with zero hosting overhead. Peekaping checks endpoints strictly from where you deploy it, which makes private network monitoring straightforward but requires self-managed external nodes if you need geographic consensus. For teams whose primary spend goes toward watching private microservices and backend data stores, hosting Peekaping internally delivers substantial savings while keeping telemetry on private networks.

What it does well

• Multi-protocol health checks: probes HTTP endpoints, ICMP ping, TCP sockets, DNS records, Docker daemon status, gRPC services, and databases including PostgreSQL, MySQL, Redis, and MongoDB.
• Native API automation: exposes all configuration options through a RESTful API and supports a community Terraform provider to manage monitors via Infrastructure as Code.
• Pluggable storage backends: runs on embedded SQLite for minimal setups or connects to external PostgreSQL and MongoDB clusters for production data persistence.
• Diverse alert routing: dispatches downtime notifications through Slack, Discord, Telegram, Matrix, email, webhooks, and push gateways with no per-message fees.
• Real-time status reporting: generates public and private status dashboards with component groupings, response time graphs, and live WebSocket updates.
• Low resource consumption: uses a compiled Go backend to process hundreds of active checks with minimal CPU and memory overhead.