Sandbox Warm Pool Sizing for Bursty Agent Workloads
Cold-start costs and idle compute now force teams to size pools deliberately instead of guessing.
Cold-start costs and idle compute now force teams to size pools deliberately instead of guessing.
Freezing and resuming sandbox state cuts long-running agent failures in half.
Untrusted AI code requires kernel isolation that standard containers can't provide.
AI agents need sandboxes that boot in milliseconds, not seconds.
Faster starts don't guarantee better isolation—the tradeoff matters more than the benchmark.
Malicious tenants can steal secrets from sandbox neighbors by exploiting shared hardware.
Agents breach cgroup v2's resource limits in ways traditional workloads never do.
Dropping Linux capabilities shrinks the attack surface attackers can exploit.
Hardware isolation replaces software policy for untrusted AI-generated code.
AI agents executing untrusted code need isolation beyond what traditional container runtimes offer.
Layering filesystem controls stops AI-generated code from reaching files it shouldn't.
AI pipeline images need layered scanning beyond standard container tools.