~/talk

Is Your Service Mesh AI Ready?

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Istio already provides API key management and ingress/egress control but falls short on AI specifics: request/response bodies and streaming SSEs need logging to see prompts and completions, rate limits must be token-based not request-based, and observability needs time-to-first-token and per-token metrics. Inference gets real wins via the Gateway API inference extension and optimized load‑balancers for VLMs; MCP (Model Context Protocol) is <1 year old with rapid revisions and requires new stateful, streaming and auth support.

AI-written summary · about

  1. 0:00AI and service mesh intro
  2. 1:43AI infrastructure needs
  3. 3:08LM consumption challenges
  4. 8:43LM solutions in mesh
  5. 11:57LM load balancing
  6. 15:48LM serving with mesh
  7. 16:11Model Context Protocol intro
  8. 20:22MCP challenges in mesh
  9. 22:31AI integration future
  10. 24:15Ambient mesh and AI gateways
  11. 26:18Summary and Q&A
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