Practical Tips for Handling Webhook Errors and Failures in Make.com

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Webhook-based automation workflows in Make.com are prone to breaking when incoming data is incomplete, incorrectly formatted, or missing expected fields. Developers are advised to first verify what data the webhook actually received before making any changes to the workflow. Validating critical fields before passing data to subsequent modules can prevent bad records from being created downstream. Separating essential actions from optional ones — such as logging an order versus sending a notification — helps ensure a single failure does not halt an entire workflow. Adding basic logging to track when failures occur and which data triggered them can significantly reduce debugging time.

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AWS Lambda timeout raised 6x to 90 minutes for managed instance event-driven functions

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ProgrammingDEV Community ·

Why Regulated AI Apps Need More Than a Vector Database

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ProgrammingDEV Community ·

Fix Ollama Connection Errors in MuleSoft by Using host.docker.internal

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ProgrammingDEV Community ·

How a Successful Build Left Almost No Trace in the Permanent Record

A software build completed with all checks passing, yet the append-only logging system rejected the vast majority of its output — 934 lines were dropped and multiple blocks refused. The root cause was a vocabulary mismatch: print statement names had been renamed in code, but the record's fixed list of accepted names was never updated to match. Because the archive uses a closed vocabulary, unrecognized names are silently refused rather than stored, making the data gap invisible until someone attempted to write the record. The author argues this strict refusal was actually valuable, as an open vocabulary would have quietly accumulated typos and renamed duplicates, corrupting historical counts. The fix involved classifying every refused line into a deliberate outcome — either declaring it or explicitly dropping it by name — so that no unadjudicated output remained.

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