Engineering

What "self-healing" actually means

"Self-healing" is easy to say and hard to do. Plenty of platforms use the phrase to mean "we retry on a 500." That's not healing — that's a retry loop. Healing means the integration recovers from a structural change to the system it's connected to, with no human involved.

The trigger: drift

Every response from every connected system flows through the Runtime Monitor. It doesn't just look for HTTP errors — it compares the shape of each response against the registered mapping. When a field is renamed, removed, or added, the data has drifted from what the connector expects. That divergence is the signal.

The response: re-inference and rebuild

On detecting drift, the engine re-enters the same loop that built the connector in the first place. It re-introspects the live system, re-infers the schema, maps the new shape back onto the Universal Data Model, regenerates the connector, and runs it against the live system to confirm it passes. Only then does it swap the new connector in.

The IT director finds out after the fact, from a log entry — not as a support ticket.

The honest part: escalation

Self-healing isn't magic, and we don't pretend it is. Each connector has a configured attempt budget. If the engine genuinely can't resolve a change within that budget, it stops, suspends the connector, and escalates — with a precise, actionable diagnostic bundle, not a generic failure. Auth failures, for instance, are never retried blindly, because credentials are managed outside the engine.

The result is that the routine, constant churn of API change — the stuff that generates most integration tickets — disappears into automated recovery, and a human only gets involved for the genuinely novel cases that deserve attention.

Frequently asked questions

What does self-healing integration actually mean?

Self-healing means an integration recovers from a structural change to the system it is connected to, with no human involved. It is not the same as a retry loop that re-attempts a failed HTTP call.

Healing responds to drift — a field renamed, added, or removed — by re-inferring the schema and rebuilding the connector, not by simply trying the same broken request again.

How does Ngentix detect that an upstream API has changed?

Every response from every connected system flows through the Runtime Monitor, which compares the shape of each response against the registered mapping rather than only checking for HTTP errors.

When a field is renamed, removed, or added, the data has drifted from what the connector expects, and that divergence is the trigger for healing.

What happens when Ngentix can't automatically fix a broken connector?

Each connector has a configured attempt budget. If the engine cannot resolve a change within that budget, it stops, suspends the connector, and escalates to a human with a precise, actionable diagnostic bundle rather than a generic failure.

Auth failures specifically are never retried blindly, since credentials are managed outside the engine.

See healing happen.
Not just hear about it.

Ngentix's Runtime Monitor watches every connection for drift and rebuilds automatically when something upstream changes. See what it looks like on your stack.

See it in action →