Scaling Up without Breaking the Bank › Preparing for Growth
AI Agent HandbookAll chapters Scaling Up without Breaking the Bank › Preparing for GrowthOne section · Sections in this chapter10 / 13 ↓
As you build your agent, keep these scaling principles in mind:
Design for observability: Add logging and metrics from the start. You can't optimize what you can't measure.
Start with limits: Set cost and rate limits early, even if they're generous. It's easier to raise limits than to add them after a budget crisis.
Test at scale: Before rolling out to many users, simulate high load. Send 100 concurrent requests and see what breaks.
Plan for failure: What happens if an API call fails? If a server crashes? Build in retry logic and graceful degradation.
Optimize incrementally: Don't try to optimize everything at once. Pick the biggest cost driver or bottleneck and address it. Then move to the next one.
Scaling is an ongoing process, not a one-time task. Your agent will evolve as usage patterns change. The monitoring and optimization habits you build now will serve you throughout your agent's lifetime.