Tag: ai-infrastructure

Traditional API gateways count requests and measure response times, but AI applications need token-based rate limiting, multi-model routing, and granular cost attribution that tools like Kong Gateway and Apache APISIX now provide. With over 40 percent of enterprise AI projects facing cancellation due to runaway costs, the API gateway pattern is essential for production AI workloads.

LLMOps success depends more on proven operations discipline than AI-specific tooling. With over 40% of agentic AI projects facing cancellation by 2027, the teams that survive apply Google SRE principles to LLM infrastructure rather than treating it as something that needs special handling.