There is a recurring moment in every engineering disaster investigation where the investigators find, buried in the internal records, evidence that the problem was known. Not suspected — known. Docume
tylerarrows.hashnode.dev12 min readArchit Mittal
I Automate Chaos — AI workflows, n8n, Claude, and open-source automation for businesses. Turning repetitive work into one-click systems.
This hits on something that's chronically underappreciated in IoT — the middleware and data pipeline layer between edge devices and the application logic. Most teams over-invest in the sensor hardware or the dashboard UI, but the MQTT broker config, data quality checks, and predictive maintenance pipelines are where reliability actually lives. The mention of PLC integration is key too — bridging OT and IT protocols is still one of the hardest interoperability challenges in industrial IoT. Great breakdown of what that infrastructure stack actually looks like in practice.