Why did adding a second API Gateway crash the system?

It amplified traffic to unscaled downstream services and databases, exhausting connections faster.

What are common hidden bottlenecks in API scaling?

Database connection pools, slow queries, service thread limits, and missing backpressure.

Profile with tracing tools, optimize DB queries, add circuit breakers, and scale the real choke points like databases.

Deployed a second API Gateway. Errors spiked. Latency skyrocketed. Turns out, scaling the wrong layer just amplifies your real problems.

theAIcatchup Apr 08, 2026 3 min read

Scaling API Gateways without profiling downstream services just accelerates failures. 𝕏
Hunt real bottlenecks with tracing—don't trust edge metrics. 𝕏
Cloud providers profit from blind scaling; question the hype. 𝕏

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#API Gateway #API Gateway scaling #Microservices Scaling #devops-lessons #distributed systems #distributed systems bottlenecks #distributed systems scaling #observability #scaling failures #system bottlenecks #system scaling failures

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Originally reported by dev.to