---
title: "Escaping IIoT Pilot Purgatory: Why Your Database Breaks at Scale"
image: https://webinars.techstronglearning.com/hubfs/2027.01.28%20Tiger%20Data-Social-1080x1080.png
---

Escaping IoT Pilot Purgatory:   
Why Your Database Breaks at Scale

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## Sponsored By:

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##### Thursday, January 28th

11 am ET

 

Seventy-four percent of industrial IoT projects stall somewhere between pilot and production. The hard part is that the pilot worked. That is exactly what makes the failure so difficult to diagnose. Pilots succeed because a few hundred sensors over a few weeks fits comfortably in almost any database. Production does not. Storage costs compound faster than the budget that approved them, ingest hits a cliff with no warning, and the real-time dashboard that sold the project turns into a loading screen. See where industrial systems and typical AWS pipelines reach their limits and how to scale beyond them. We’ll explore a proven architecture using AWS IoT Core, Amazon Kinesis, AWS Lambda, and a single Postgres database to support more than one million connected devices reporting every second. This presentation is brought to you by Tiger Data, an AWS Partner. 

Key Takeaways:

- Identify which of the three scaling failures (storage compounding, ingest cliff, query degradation) your system will hit first.
- Map an existing AWS IoT pipeline against a production architecture proven at million-device scale.
- Separate architectural changes that raise the ceiling from changes that only defer the problem.

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### Matty Stratton

###### Head of Developer Advocacy & Docs - Tiger Data

Matty Stratton is the Head of Developer Advocacy & Docs at Tiger Data. A longtime DevOps community member, he's the co-host of Arrested DevOps and a global organizer of DevOpsDays, with over 20 years of experience in IT operations and speaking at engineering events worldwide. 

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