Tag: autoscaling

3 articles

• LLM Serving Overload Protection in Production: Guarding Tail Latency with Queue SLO, Backpressure, and Elastic Autoscaling

  A production-grade guide for LLM inference services: using queue wait time, TTFT SLO, backpressure, and elastic autoscaling to handle traffic spikes, avoid scaling lag, tail latency blowups, and unbounded queuing. Includes key metrics, configuration, launch checklist, and common pitfalls.

  08/26/2026 llm-serving / autoscaling / backpressure / slo / vllm

• LLM Serving Autoscaling in Production: Safe Scaling with Queue Depth, P95 Latency, and GPU Utilization

  A deep dive into production-grade autoscaling for LLM serving. Build a multi-layer control loop using queue depth, P95 latency, token throughput, and GPU utilization, with warm pools, admission control, cost boundaries, and cooldown strategies to meet inference SLOs under cost constraints.

  07/09/2026 LLM Serving / Autoscaling / GPU Inference / P95 Latency / SLO / Scaling

• LLM Serving Overload Protection: SLO-Driven Autoscaling and Admission Control

  A practical guide to building overload protection for LLM inference services using SLO-driven autoscaling and admission control. Covers queue length, token pressure, TTFT/TPOT, and tenant quotas to prevent system collapse under traffic spikes.

  07/01/2026 LLM Serving / Autoscaling / SLO / Admission Control / Overload Protection / Inference Infrastructure