Explore how Salesforce designed a persistent queue that prevents autonomous agents and human workflows from overwhelming shared capacity and much more.

The Salesforce Engineering Blog offers a deep dive into Salesforce technologies, providing technical insights, best practices, and real-world examples. Developers can explore topics such as Salesforce development, architecture, and integrations, gaining  knowledge to build innovative solutions on the Salesforce platform. With contributions from Salesforce engineers and industry experts, the blog serves as a resource for the Salesforce community.

Salesforce Engineering

Salesforce's Agentforce team built a distributed persistent queue to orchestrate AI agent and human seller workflows under shared LLM infrastructure limits (300 RPM). The system uses a fair-share round-robin dispatcher, a three-tier priority queue (reply > intro > nudge emails), adaptive rate modulation with proactive admission control, and a dual-path architecture separating autonomous from human-review workflows. These design choices eliminated cascading rate-limit failures, prevented workload starvation, and achieved a 5x throughput increase, enabling customers to process over 10,000 leads daily.

Building a Distributed Persistent Queue That Scaled AI Workloads 5x