Agentic AI Platform Engineering
Multi-Tenancy for Agent Workloads
Two business units share the platform. One of them ships an agent with a runaway reasoning loop that burns the month's token budget in an afternoon. The other one should never have noticed.
What this lesson covers
- Tenancy models for agent platforms
- Isolation across compute, model quota, knowledge, tools, and identity
- Noisy neighbour problems specific to agents: token burn, tool call storms, context bloat
- Chargeback and cost attribution per tenant
The problem
Coming soon.
How it works
Coming soon.
Platform design implications
Coming soon.
Tradeoffs and decision framework
Coming soon.
Common mistakes
Coming soon.
INTERVIEW QUESTION
Design tenant isolation for a shared agentic platform. What are the failure modes unique to agents that traditional multi-tenancy models do not anticipate?
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