What happens when a production-ready startup proves a runtime failure beyond doubt – and is still told it’s their fault?
Over a four-week investigation, I uncovered and proved a silent, platform-level crash in AWS Lambda (Node.js, VPC-attached) that terminates functions mid-execution during outbound HTTPS calls — with no logs, no exceptions, and no catchable errors. I provided AWS with stripped-down repros, deep forensic traces, and a fully working EC2 comparison. In return, AWS denied the issue, blamed my code, and withheld internal telemetry — until their own reproduction accidentally proved I was right.
They claimed I missed areject()— but their test was the one missing it.
They said the crash was app-level — but it happened after my function returned.
They suggested EC2 — I was already there.
And when I asked for engineering — they gave me sales.
This wasn’t a one-off bug or a misconfiguration. It was a systemic failure — one that AWS’s own internal test confirmed. Yet instead of accountability, we received deflection. Instead of logs, we got silence.
Lambda is designed for reliability at scale. It’s used by thousands of teams in production. If something fails silently at the platform level — without throwing errors, logging traces, or allowing any fallback — then it breaks the very contract serverless is built on.
When that happens, support escalation must work. Engineering teams must engage. Customers deserve root cause clarity — especially when they’ve done everything right.
The full report dives into:
📄 Read the full PDF report here
Feedback? Questions? Want to share your own platform issue?
I'm happy to connect with others running serious workloads on Lambda or dealing with similar blind spots in serverless.
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