24 Sep 2025 2 min read

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Managing integrations just got a whole lot easier. The redesigned Connector view in KODE OS gives you real-time visibility and control over every API connector — all from a single pane of glass. No more waiting on engineering or support. Now, you can spot issues, make changes, and keep your systems running smoothly with just a few clicks.

We’re excited to introduce the Connector View upgrade, a powerful new experience within KODE OS designed to give operators, facility managers, and system integrators full visibility into connector health and the tools to manage data streams directly.

With real-time health monitoring, dynamic activity logs, and built-in controls, the new Connector View empowers users to:

  • Troubleshoot connector failures proactively
  • Adjust and optimize collection frequency
  • Reduce downtime without engineering intervention.

Diagnose Failures with Confidence

Uptime trends, failure patterns, and detailed error logs make it easy to see when and why a connector is underperforming. Color-coded health indicators and dynamic logs mean you can spot issues instantly and act before they escalate.

Track Every Change

The new activity history log shows who changed what, when, and why. Paired with uptime graphs, you can quickly link changes to performance trends and pinpoint root causes — giving you a clear picture of connector reliability.

Take Control in Real Time

No more static tables or waiting on support. Test connections, change data collection frequency, pause or resume streams, or roll back to a previous version — all directly from the Connector View.

In today’s buildings, data integrations are mission-critical. But when connectors fail silently or require engineering to adjust, operations grind to a halt. That slows response times, increases costs, and leaves teams blind to performance issues.

The new Connector view flips the script. It transforms integrations from a black box into a transparent, controllable system — putting the power back in the hands of building teams. This means:

  • Faster troubleshooting and less downtime
  • Reduced dependency on engineering teams
  • Smarter, data-driven decisions at the portfolio level

It’s more than an upgrade — it’s the foundation for autonomous connector management, where AI will soon handle anomaly detection and self-healing automatically.

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