# How to operate shared platforms safely at agent scale

DevFeed: [How to operate shared platforms safely at agent scale](<https://devfeed.tech/articles/how-to-operate-shared-platforms-safely-at-agent-scale-26970.md>)

Original publisher: [Read original article](<https://www.datadoghq.com/blog/operating-shared-platforms-agent-scale/>)

Author: Candace Shamieh; T Zhang; Gabriele Baldoni

Published: 2026-09-15T00:00:00Z

Content type: article

Language: en

Sources: [Datadog | The Monitor blog](<https://devfeed.tech/sources/datadog-the-monitor-blog.md>)

Topics: [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [Loop Engineering](<https://devfeed.tech/topics/loop-engineering.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [sdlc](<https://devfeed.tech/topics/sdlc.md>), [Latency](<https://devfeed.tech/topics/latency.md>), [Low Latency](<https://devfeed.tech/topics/low-latency.md>), [Concurrency](<https://devfeed.tech/topics/concurrency.md>), [Software](<https://devfeed.tech/topics/software.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agent-observability](<https://devfeed.tech/tags/agent-observability.md>), [agentic-workflows](<https://devfeed.tech/tags/agentic-workflows.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [ci](<https://devfeed.tech/tags/ci.md>), [concurrency](<https://devfeed.tech/tags/concurrency.md>), [latency](<https://devfeed.tech/tags/latency.md>), [low-latency](<https://devfeed.tech/tags/low-latency.md>), [operational](<https://devfeed.tech/tags/operational.md>), [performance](<https://devfeed.tech/tags/performance.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [platforms](<https://devfeed.tech/tags/platforms.md>), [queue](<https://devfeed.tech/tags/queue.md>), [recovery](<https://devfeed.tech/tags/recovery.md>), [timeout](<https://devfeed.tech/tags/timeout.md>)

## AI overview

This Datadog article explains how platform teams can operate shared platforms safely as AI agent workloads scale across teams. It discusses modeling demand across agent trajectories, planning capacity across dependencies such as CI queues and sandbox pools, handling contention and recovery behavior, and preserving control across system boundaries.

## Source excerpt

Learn how Datadog models agent demand, allocates capacity under contention, and preserves control as AI agent workloads scale across shared platforms.