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Docker Swarm vs Kubernetes: 10-Year Production Experience Shows Simplicity and Cost Benefits

By

RedShift1

3mo ago· 37 min readenInsight

Summary

A detailed technical analysis comparing Docker Swarm and Kubernetes based on 10 years of production experience. The author argues that Docker Swarm is a simpler, more cost-effective solution for most organizations, running 24 containers across two continents with zero crashes at only $166/year. The article claims Kubernetes introduces unnecessary complexity for the majority of users who don't need its advanced features, with most provisioned CPU sitting idle. It includes side-by-side YAML comparisons, production numbers, and proposes a smarter autoscaler alternative to Kubernetes HPA.

Key quotes

· 5 pulled
Kubernetes solves real problems for the 1% who need it. The other 99% are paying a massive complexity tax for capabilities they never use, while 87% of their provisioned CPU sits idle.
I've run Docker Swarm in production for 10 years — starting with multi-node clusters running 4-6 replicas per service, optimized down to 24 containers across two continents, zero crashes, $166/year total.
The only feature K8s has that Swarm genuinely lacks is autoscaling — and a working autoscaler that's smarter than K8s HPA.
10 years of Docker Swarm in production — 24 containers, two continents, live SaaS platform, zero crashes, $166/year.
Side-by-side YAML comparisons, real production numbers, and a cost breakdown that should make any CTO uncomfortable.
Snippet from the RSS feed
10 years of Docker Swarm in production — 24 containers, two continents, live SaaS platform, zero crashes, $166/year. Side-by-side YAML comparisons, real production numbers, a working autoscaler that's smarter than K8s HPA, and a cost breakdown that should

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