Agent Factory Recap: Supercharging Agents on GKE with Agent Sandbox and Pod Snapshots
In the latest episode of the Agent Factory, Mofi Rahman and I had the pleasure of hosting, Brandon Royal, the PM working on agentic workloads on GKE. We dove deep into the critical questions around...

Source: DEV Community
In the latest episode of the Agent Factory, Mofi Rahman and I had the pleasure of hosting, Brandon Royal, the PM working on agentic workloads on GKE. We dove deep into the critical questions around the nuances of choosing the right agent runtime, the power of GKE for agents, and the essential security measures needed for intelligent agents to run code. This post guides you through the key ideas from our conversation. Use it to quickly recap topics or dive deeper into specific segments with links and timestamps. Why GKE for Agents? Timestamp: 01:49 We kicked off our discussion by tackling a fundamental question: why choose GKE as your agent runtime when serverless options like Cloud Run or fully managed solutions like Agent Engine exist? Brandon explained that the decision often boils down to control versus convenience. While serverless options are perfectly adequate for basic agents, the flexibility and governance capabilities of Kubernetes and GKE become indispensable in high-scale sc