Is Docker Swarm Still Faster Than Kubernetes for Small AI Stacks?

Posted on Oct 28 • Originally published at bohdanhordii.dev

For small to mid-sized engineering teams running autonomous multi-agent workloads, Kubernetes has become the ultimate cognitive and financial tax.

We benchmarked a 37-container agentic cluster running across bare-metal Linux nodes under two setups: a minimal k8s (k3s) overlay vs. a native Docker Compose/Swarm loopback mesh.

Here is the unvarnished production breakdown:

Multi-agent pipelines execute dozens of sequential micro-requests between workers, Redis caching, and vector stores:

Docker Swarm lacks automated horizontal pod autoscaling (HPA) and complex ingress controllers out of the box. If you experience massive, unpredictable traffic spikes that require dynamically spinning up 50 nodes in 30 seconds, Kubernetes is unavoidable.

For teams with under 50 microservices or dedicated AI agent workloads:

Did you stay with Kubernetes because it is the "industry standard," or have you pared back to bare-metal Linux + Docker for speed and sanity?

What is your real control plane RAM overhead right now?

Bohdan Hordii // Systems & Sovereign Infrastructure Architect Benchmarks & Architecture: bohdanhordii.dev