Backpressure for agent queues
3 Jul 2026 · 6 min read
Backpressure keeps agent systems from overwhelming models, tools, reviewers, and budgets.
Autonomous systems need pressure valves. Without backpressure, a burst of work becomes latency, cost, rate-limit, and review problems.
AstraRunner treats this as an execution-platform concern: the run needs durable state, traceable decisions, cost visibility, and enough structure for teams to review what happened after the agent finishes.
Patterns that work
- Limit concurrency by tenant, workflow, and tool.
- Prioritize high-value or time-sensitive runs.
- Defer low-priority work when budgets are tight.
- Expose queue age and saturation.
Implementation checklist
- Set per-provider concurrency limits.
- Track queue wait time.
- Add dead-letter handling.
- Notify when reviewer queues exceed capacity.
Watch outs
- Unlimited parallel agents create cost spikes.
- Backpressure without priority delays important work.
- Human approval queues are part of system capacity.
Related reading
How this fits the Astra stack
AstraRunner owns the operational path for agent work: orchestration, scheduling, approval gates, traces, costs, and role-agent handoffs. AstraMemory owns durable context and retrieval. AstraGenie turns those capabilities into product workflows for teams that want automation without rebuilding the platform layer.