Millisecond-precise fleet scheduling
The Infrastructure for Synchronized IoT & Fleet Management
Offline devices break every naive scheduler. HookPulse fixes that by combining exact-time scheduling, fault-tolerant retries, and multi-step acknowledgements so device commands stay synchronized—even when connectivity is intermittent.
The Pulse of Your Fleet
For 10,000+ devices, monitoring must be predictable. Use HookPulse Interval schedules for steady telemetry windows, and Cron schedules for fixed operational rhythms.
Example: interval health checks
Trigger device health checks every 15 minutes (and keep it stable with millisecond precision).
POST https://api.hookpulse.io/v1/api/add_interval_schedule
{
"webhook_url": "https://your-iot-api.com/devices/health-check",
"interval": { "every": 15, "period": "minutes" },
"schedule_to": "webhook",
"payload": { "device_group": "all" }
}Operational impact
- Deterministic monitoring cadence across your fleet.
- Less jitter for telemetry windows and coordinated maintenance.
- Elixir/OTP reliability ensures scheduling keeps running during transient failures.
Offline Device Problem
When devices go offline, naive schedulers “fire and forget” and you lose the command delivery timeline. HookPulse solves this with resilient delivery attempts, retries, and multi-step acknowledgements.
Retry-safe delivery
If the device/API is unavailable, HookPulse retries according to your schedule policy.
Millisecond precision
Keep command start times aligned across distributed fleets.
Delivery observability
You get failure notifications and can replay when needed.
Built on Elixir/OTP
Fault tolerance + supervision trees + concurrency that keeps scheduling stable.
Beyond Polling
Device polling is expensive at fleet scale. Instead, treat each device as a state machine and use event-driven webhooks to reduce CPU/network overhead while increasing reliability.
Polling
- Resource-intensive loops.
- Higher latency when networks are unstable.
- Wasteful retries across 10,000+ devices.
Webhooks + Scheduling
- Schedule exactly when commands should be attempted.
- Use retries and failure signals instead of silent polling.
- Keep telemetry windows deterministic for analytics.
The "Acknowledge" Pattern
Acknowledge is multi-step orchestration: send the command, wait for device confirmation, and only then proceed to the next action (like OTA continuation or the next workflow stage).
Workflow shape
Step 1: schedule command attempt. Step 2: your backend checks acknowledgement. Step 3: continue only after success.
// Pseudo-workflow for Acknowledge pattern
1) clocked webhook -> POST /device/command
2) conditional wait -> if device ack received, proceed
3) next action -> POST /device/commit_update
4) failure path -> Slack notify + optional replay laterCommand Attempt
Exact-time trigger with retries.
Acknowledgement Gate
Proceed only after success signal.
Failure Isolation
Notify and replay without breaking state.
Handling the Edge
When devices go offline, you need a safety net. HookPulse retries intelligently, and when delivery still fails, Slack notifications surface the issue instantly so operators can intervene—without losing the scheduling timeline.
Custom retries
- Backoff policies and scheduled retries.
- Failure isolation per device group.
- Built for intermittent networks.
Slack failure notifications
- Real-time delivery visibility.
- Fast triage for offline device incidents.
- Replay-ready delivery logs when needed.
What you get
Exact Timing
Millisecond precision schedules.
Fault Tolerance
Elixir/OTP reliability.
Retries
Delivery attempts until success.
Observability
Slack alerts + replay logs.
Turn offline devices into predictable workflows
HookPulse lets you schedule, acknowledge, retry, and recover with deep-tech reliability. Replace polling, stop missing command windows, and keep your fleet synchronized.