Scaling Agent Architectures
Explore techniques and considerations for horizontally and vertically scaling your AI agent systems to meet growing user demands.
Scaling AI Agents
Welcome to scaling AI agent architectures! As your AI agents become popular or handle complex tasks, a single instance might not be enough to keep up.
Scaling ensures your agents can handle increased user demand and process data efficiently without slowing down, failing, or costing too much.
Vertical Scaling: Go Big!
- Vertical scaling means making a single agent instance more powerful.
- Think of it as upgrading your computer's CPU, RAM, or storage. You add more resources to the existing server running your agent.
- This approach is often simpler to implement initially, but it has inherent limits to how much you can upgrade a single machine.
All lessons in this course
- Deploying Agents to Cloud Platforms
- Managing Agent State & Sessions
- Scaling Agent Architectures
- Rate Limiting & API Quota Management