How Lovable's Infrastructure Team Debugged Kubernetes Networking Errors Using AI and Packet Inspection
By
@Lovable
Toasted to a respectable shade. No regrets, no crumbs left.
Summary
Lovable's infrastructure team, led by Sascha, investigated sporadic networking errors in their Kubernetes cluster that were causing intermittent failures for users. The errors included connection timeouts, "Connection reset by peer" messages, and GitHub clone failures. Using AI-assisted debugging and deep packet inspection, they traced the issue to MTU mismatches and crashing anetd pods. The team's systematic approach to bug hunting in a high-traffic environment (50+ sandboxes per second during peak hours) demonstrates how complex infrastructure problems can be diagnosed and resolved through methodical investigation and modern debugging tools.
Key quotes
· 3 pulledSomething in our infrastructure was wobbling, and we needed to find it.
On a platform like Lovable, which currently creates more than 50 sandboxes per second during peak hours, even a small percentage of failures can be a big problem for our users.
There was no real obvious pattern, which is always the worst kind of pattern.
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