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Making LLMs Production-Ready

· One min read
Hariprasath Ravichandran
Hariprasath Ravichandran
Senior Platform Engineer @ CData

LLMs unlock powerful capabilities, but production readiness requires discipline.

Architecture​

  • API gateway with auth/rate limits; per-tenant quotas
  • Routing layer for model/version selection (A/B, shadow)
  • Streaming responses for interactive UX and reduced tail latency

Reliability​

  • Warm pools for GPUs; autoscale on concurrency/queue depth
  • Canary deploys with eval gates; rollback on quality regressions

Safety & Security​

  • Prompt injection and jailbreak detection; content filters
  • PII handling and audit logging; redaction policies

Cost Controls​

  • Batching, caching, and quantization; choose accelerators pragmatically
  • Track tokens/sec and context utilization; optimize prompts and retrieval