In modern digital environments, uptime isn’t just a nice to have. When connectors or sensors fail silently, it’s not only data streams that stop. Insights stall, operations slow, and teams scramble to diagnose the problem. App Status changes that by giving you real time visibility into connector and sensor health so you can spot issues before they become operational headaches. 

The cost of hidden failures 

In complex building or enterprise systems, data relies on a chain of connectors and sensors. When something in that chain breaks, it’s often detected too late after reports are wrong, dashboards go blank, or key automation fails. Without an integrated status view, teams are left guessing: Which connector failed? When did it go down? Is the problem local or system wide? Who needs to fix it, and how urgently? The result is slower response times, higher support costs, and frustrated users. 

Introducing App Status 

App Status is a dedicated monitoring capability in Willow that provides a clear, live overview of your connector and sensor performance. It surfaces potential problems in seconds and gives your team the context to respond fast.

With App Status, you can:

  • Monitor in real time: View the health of all connectors and sensors at a glance.
  • Identify issues instantly: See visual status indicators (Healthy, Warning, Error).
  • Track trends over time: Use historical logs to spot recurring issues.
  • Investigate in context: Drill into connector and sensor details, including related sites and systems.
  • Act with confidence: Remove and re-add connectors, or reconfigure, directly from the interface. 

The issue types

Beyond uptime, App Status helps safeguard data quality so analytics and automation stay trustworthy. These are the key issue types it surfaces:

  • Never Online – Sensors that have never reported any data since setup.
  • Offline – No data received for more than three times the expected interval; point considered inactive.
  • Delayed – Data received more than 30 minutes after the original timestamp, impacting skill execution.
  • Sparse – Data intervals exceed the expected reporting frequency.
  • Value Out of Range -Readings fall outside configured thresholds for key metrics.
  • Flatline – Sensor reports identical values across 50+ readings or 10 times the expected interval.

These checks make it easier to distinguish a true device failure from a data quality anomaly so the right team can act quickly.

 

At its core, App Status continuously collects operational signals from connected systems, compares them to expected thresholds, and presents the results in a simple, color-coded dashboard. A typical flow looks like this: 

  • Sensors and connectors send live status data. 
  • The monitoring engine evaluates performance and flags anomalies. 
  • The App Status UI shows current health with clear indicators. 
  • Notifications (where configured) prompt the right people to take action. 

Consider a smart campus rollout where a key environmental sensor stops reporting. Without App Status, this may go unnoticed until a building automation sequence fails to run, causing discomfort or inefficiency. 

Closing thoughts and summary 

App Status gives teams a single, reliable view of connector and sensor health plus the data quality checks that keep analytics and automation trustworthy. Do early detection and catch potential problems before they escalate. Achieve faster resolution, find the root cause quickly and act with confidence. Get crucial operational insights by using historical logs and issue trends to plan preventive maintenance. Generate confidence in data by maintaining clean, consistent streams that support accurate decisions. 

With App Status, you’re no longer reacting to silent failures after the damage is done. Instead, you gain the visibility and control to keep systems healthy, data trustworthy, and operations running without interruption.