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Is a Pod the right deployment unit for an AI agent?

Cncf

When we first started building kagent, we didn’t run every agent in its own Kubernetes Pod, Service, and ServiceAccount.

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BlogsBuilding a Cluster-Aware AI Agent with Kubernetes, Argo CD, and GitOpsCncf BlogsMaking Harbor production-ready: Essential considerations for deploymentCncf BlogsPolicy-as-Code: Flexible Kubernetes governance with KyvernoCncf BlogsHow to get engineering time back from Kubernetes upgradesCncf Blogsrunc container breakout vulnerabilities: A technical overviewCncf BlogsKubeCon + CloudNativeCon North America 2026: From user to contributor to maintainerCncf BlogsHow Docker IT Streamlined Docker Desktop Deployment Across the Global TeamDocker BlogsMental Health Marketing: A Responsible 2026 GuideHeygen ResourcesList check runs for a deployment | Vercel REST APIVercel ResourcesVercel QueuesVercel BlogsCollaborating with Anthropic on Claude Sonnet 4.5 to power intelligent coding agentsVercel ResourcesDEPLOYMENT_DELETEDVercel BlogsIntroducing Vercel AI SDK 3.2Vercel Resourcesvercel projectVercel LearnTranscribe Phone Calls with Twilio Functions and Deepgram - Deepgram Blog ⚡️Deepgram ResourcesHTTP instrumentation configurationOpentelemetry ResourcesInstrumentation scopeOpentelemetry BlogsThe 6 best task automation tools in 2026Zapier BlogsFaster Secrets in Pulumi IaCPulumi BlogsHow Retool defines "Prompt to Production" for enterprise IT teams | Retool BlogRetool