Use Case | How we built a Retool-native error monitor without breaking data residency

Retool has no native error monitoring, and for teams operating under data residency requirements, standard tools like Sentry and Datadog are not viable either. Errordrop is Stackdrop's Retool-native error tracking tool: it captures query and workflow failures inside any Retool app and routes structured alerts to Slack or Teams, without moving error data outside the governed environment.

What does a development team do when a query fails in a production Retool app?

Without a dedicated monitoring layer, there are two ways a development team finds out a query failed: a user reports something is wrong, or a developer manually works through Retool's workflow run logs.

Retool's native logging does not surface app query errors in a form developers can act on. For workflow failures, a developer has to open the workflow run history and inspect it step by step, with no notification to trigger the review. For a regulated enterprise client running client-facing Retool portals, this meant no automated signal between an error firing and someone noticing something was wrong. Problems arrived as support requests, not as error events.

The cost showed up in silent failures: errors that did not break the interface visibly but corrupted the experience underneath. One recurring issue involved session timeouts. The portals had a one-hour session limit, but Retool does not log users out automatically when a session expires. Users continued filling out forms and submitting data while queries had stopped running in the backend. When they eventually logged out and back in, what they had entered was gone, with no indication of when the session had lapsed or how many submissions had been lost. That kind of failure leaves no trace in native Retool logs. It shows up as a complaint, not as a data point.

Why can't teams in regulated environments use Sentry or Datadog?

The portals this team managed handle claimant and user data subject to Canadian data residency requirements, which means error data including call stacks and query parameters has to stay within Canada. Sentry, Datadog, and similar monitoring platforms are hosted in US regions. Routing error data through them would have put user-related context outside the permitted boundary.

This constraint is not specific to this client. Any team running Retool apps where PII, financial records, or protected user data flows through queries faces the same problem: standard monitoring tools do not satisfy the data governance requirements of regulated enterprise environments, and Retool provides nothing native to replace them.

Errordrop keeps everything inside Retool. Error records, call stacks, and occurrence logs are stored in Retool DB, governed by the same access controls as the apps they monitor. There is no external service in the path.

How does Errordrop capture errors inside a Retool app?

When a query fails inside a Retool app, Errordrop captures a snapshot of the query state and its metadata and sends it to a processing workflow. That workflow logs the failure by error type and routes a notification to Slack, Teams, or whichever integration is configured. The notification includes the app name, error message, environment, origin, plugin, error type, occurrence count, and timestamp, alongside a direct link to the issue's detail page in the monitoring dashboard.

To avoid spamming developers when the same error fires repeatedly, the workflow includes configurable time-based cooldown throttling. Occurrences are batched and counted rather than triggering a separate notification each time.

The data is stored in Retool DB and surfaced through a dedicated monitoring frontend, giving developers a single place to triage and track issues across every app connected to the system.

Does Errordrop cover workflow errors as well as query failures?

Yes, but with a difference in how each is set up. App errors are captured automatically: no configuration is needed beyond connecting Errordrop to the Retool space. Workflow errors require an additional step where a developer needs to add a global error handler to each workflow they want monitored, configured to trigger the Report App Errors workflow when a failure occurs.

Before unified coverage, workflow failures were only discoverable through manual run log inspection or a downstream data problem someone eventually noticed. A workflow that errored partway through would not surface in the app; there was no notification and no record in a place the development team was monitoring. Now both error types land in the same dashboard with the same notification structure.

What does a developer see when they open an issue in Errordrop?

The detail page shows the error message, a fingerprint, and the event and user counts at the top. Below that is a per-occurrence table.

For app errors, each row shows the timestamp, user, browser, OS, and status code. For workflow errors, each row shows the timestamp, run ID, error type, and execution time. The block name is also captured for workflow errors, but only when the developer has wrapped the relevant JS or Python code blocks in a try/catch and passed the block name in the catch. Expanding a row shows the full call stack: for app errors, the failing query and its parameters; for workflow errors, the stack trace, failing query text, and raw error output.

The page also includes trend charts and breakdowns by browser, OS, block, and error type. A developer can see in a single view whether the error is isolated to one user or browser, or whether it is affecting a wider pattern of sessions, before deciding how to act.

How does the issue lifecycle work in Errordrop?

Every issue opens when it first fires. A developer resolves it by clicking Resolve; their name, a timestamp, and an optional note are recorded. A developer clicks Reopen manually if the same error surfaces again after a fix.

Keeping status transitions manual means the developer controls the lifecycle at each stage. The session timeout issue described above illustrates why: the team had identified the root cause and was mid-fix while the error continued firing. An automatic reopen on every recurrence would have created noise rather than signal during the resolution window.

FAQ

How does Errordrop avoid consuming Retool's monthly workflow run quota?

App errors trigger the processing workflow via a Retool Event, and workflow runs triggered by Retool Events do not count toward the monthly quota. Workflow errors work differently: the Report Errors workflow is triggered by another workflow, which does count as a workflow run. Teams monitoring high-volume workflows should factor this in when configuring coverage.

Can Errordrop monitor multiple Retool apps and environments from a single dashboard?

Yes. All error records write to the same Retool DB tables, so the monitoring frontend surfaces issues from any app or workflow connected to the system. Teams running several portals see all active issues in one place, with the app name and environment visible in every notification and issue record.

What is the difference between app errors and workflow errors in Errordrop?

App errors come from user-triggered query failures: a failed API call, a broken database query, a permission error during a user action. Workflow errors come from Retool workflow runs — automated background processes that may fail mid-execution with no visible effect on the front end. App errors are captured automatically; workflow errors require a global error handler to be added to each workflow being monitored.

Is Errordrop available outside of a Stackdrop engagement?

Errordrop is Stackdrop's own tool, deployed as part of a Retool build or governance engagement. It is not a standalone product. Teams interested in deploying it can get in touch with Stackdrop.