Closed Beta Notice: Heart Beats is currently in closed beta. New public registrations are paused — existing users can sign in below.

Universal Dead Man's Switch & Background Workload Monitoring Built for Modern Infrastructure

Currently in Closed Beta: Self-serve registration is temporarily paused while we scale our infrastructure. If you have an existing account, please sign in here.
Choose a plan that fits your workload. Monitor background workers, data pipelines, and scheduled services at any scale.
Starter
For personal homelabs, hobbyists, and side projects.
$0 / month
  • ✓ 2 Heartbeat Monitors
  • ✓ 2 Workspace Team Seats
  • ✓ 50 Check History Records
  • ✓ 60s Minimum Ping Interval
  • ✓ Standard Webhook Alerts
  • ✓ POSIX Shell Wrapper
  • ✕ SMS & Phone Call Alerting
  • ✕ Priority SLA & Support
Enterprise
For mission-critical infrastructure, compliance, and large orgs.
$99 / month
  • ✓ 500 Heartbeat Monitors
  • ✓ 50 Workspace Team Seats
  • ✓ 3-Year Extended Audit Retention
  • ✓ 5s Ultra-Frequency Engine
  • ✓ SMS & Phone Voice Call Alerts
  • ✓ 99.99% Uptime Guarantee SLA
  • ✓ Custom Invoicing & Security Review
  • ✓ Near Real-Time Incident Response
Starter Selected Plan: Starter ($0 / month)
🛡️ Zero double-billing guarantee • 14-day trial on paid tiers • No credit card required upfront
Step 2: Workspace & Owner Account Setup
You will be designated as the workspace owner with full administrative authority.
or create account with work email
Universal Inverted Monitoring for Every Workload
Traditional uptime monitors ping from the outside, requiring public IPs and open firewall ports. Heart Beats inverts this: your tasks, workers, and pipelines ping our global edge whenever they execute. If anything crashes, stalls, or fails to run, you are alerted instantly.
⚡ Queue & Background Workers
Track Celery, Sidekiq, BullMQ, RQ, and Kafka/RabbitMQ consumer loops. Instantly detect silent worker crashes, unhandled exceptions, memory exhaustion, or disconnected consumers.
Celery Sidekiq BullMQ Kafka / RQ
🔄 Data & ETL Pipelines
Guard Airflow DAGs, dbt transformations, Apache Spark syncs, and data warehouse loaders. Get alerted when an ETL sync fails, encounters schema drift, or exceeds its expected window.
Airflow DAGs dbt Models Spark Syncs Warehouse Loaders
⏱️ Scheduled & Maintenance Tasks
Monitor periodic database backups, Postgres vacuuming, systemd timers, log rotation, and maintenance scripts. Verify execution without inbound firewall openings or exposed ports.
systemd Timers DB Dumps Log Rotation Backup Scripts
☁️ Serverless & Cloud Functions
Verify AWS Lambda, Cloudflare Workers, GCP Functions, and scheduled cloud webhooks execute reliably and catch unhandled runtime timeouts, concurrency limits, or cold-start panics.
AWS Lambda Cloudflare Workers GCP Functions Webhooks
🚀 CI/CD & Nightly Workflows
Ensure scheduled integration test suites, security vulnerability scanners, and automated deployment pipelines kick off and complete successfully without getting stuck in queues.
GitHub Actions GitLab CI Nightly Tests Security Scans
📡 Daemons & Edge Beacons
Dead man's switch alerting for IoT devices, telemetry beacons, and on-premise servers behind NATs or dynamic IPs. Zero inbound ports, zero static IPs, and zero VPN tunnels needed.
IoT Devices Edge Nodes Strict NAT Sync Daemons
Universal Compatibility: Works with any language, framework, or runtime via simple HTTP ping or POSIX wrapper: curl, fetch(), requests, or shell scripts. ✓ Inverted monitoring • Zero inbound open ports
Robust by Design: Globally Distributed Edge Compute
Uptime monitoring is only as trustworthy as the platform evaluating it. Heart Beats processes incoming pings, verifies security tokens, and detects missed check-ins across a globally distributed network with per-tenant isolation.
🌐
Distributed Global Edge Network
Pings terminate at the nearest edge point of presence to your servers, minimizing round-trip network hops and eliminating execution drag on your jobs, workers, and backups.
Fast Edge Ingestion
🛡️
Strict Per-Tenant Isolation
Every workspace operates within dedicated tenant boundaries. High-frequency pings from high-volume accounts never cause database contention, queue bottlenecks, or noisy-neighbor slowdowns for other users.
Dedicated Workspace Boundaries
⚡
Automatic Failover Routing
If an individual datacenter or transit route encounters network issues, anycast routing automatically redirects incoming traffic to healthy nearby nodes to prevent dropped signals.
High-Availability Redundancy