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Scale by Rejection: How We Built a Streaming Telemetry Service that Survives Millions of Events per Second

Samir Savla

This case study shows how a telemetry gateway handles millions of events per second by rejecting overload at the edge and using two levels of autoscaling on Kubernetes.

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Building Platforms for AI Agents
Building Platforms for AI Agents

Non-deterministic agents pose specific challenges for platform teams in observability, state management, governance, and trust.

Mauricio (Salaboy) Salatino explains why agentic applications behave like distributed multi-agent systems. His test assigned agents to take an order, cook the pizza, deliver it, and charge the customer. One order crossed 15 containers and produced 200 traces.

In this interview:

  • Why agent frameworks can recreate monolith scaling and resource contention
  • How OpenTelemetry data can measure agent behavior and trust over time
  • Why narrowly scoped agents are safer than agents that follow long sequences
  • How the platform can become the learning layer that feeds better context back to LLMs

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