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# K3s vs. K8s: When lightweight Kubernetes distros win (and when they don’t)

**[The New Stack](https://daily.dev/sources/newstack)** · 7 min read · 1 upvotes · 0 comments

## Summary

Standard Kubernetes offers comprehensive orchestration but requires significant resource overhead and operational complexity, typically needing 4GB RAM and two CPU cores. K3s, a CNCF Sandbox project from SUSE/Rancher Labs, packages the control plane into a single binary under 100MB and runs on as little as 512MB RAM, making it well-suited for edge and IoT deployments, CI/CD pipelines, and local development. K3s uses SQLite by default (with etcd, MySQL, PostgreSQL also supported) versus K8s's etcd-only approach. For regulated industries needing SOC 2, HIPAA, or PCI DSS compliance, RKE2 (a K3s sibling with hardened security defaults) or standard K8s may be better fits. The piece argues the choice depends on infrastructure and team needs rather than one being universally superior.

## Full article

daily.dev links to this article rather than hosting it. Read it at the original source: <https://thenewstack.io/k3s-vs-k8s-comparison>

## Questions this post answers

### What is the minimum hardware needed to run K3s compared to standard Kubernetes?

K3s can run effectively on devices with as little as 512MB RAM and a single CPU core, while standard Kubernetes typically requires at least 4GB RAM and two CPU cores for a basic cluster, plus additional overhead per component. This makes K3s suitable for edge hardware like Raspberry Pis, industrial computers, and retail terminals where standard Kubernetes would be undeployable.

_Comparing resource footprints like this helps teams sizing edge clusters on daily.dev before committing to a distribution._

### What database does K3s use by default instead of etcd?

K3s uses SQLite as its default datastore for single-node deployments, while also supporting etcd for high-availability configurations plus external databases like MySQL and PostgreSQL. Standard Kubernetes relies on etcd as its backing store. This flexibility lets K3s provide persistence without the operational complexity of distributed storage systems in edge deployments.

_Developers weighing K3s storage options often track these trade-offs on daily.dev before choosing a datastore._

### Should I use K3s or RKE2 for a Kubernetes deployment in a regulated industry like finance or healthcare?

RKE2 is generally the better choice for regulated industries, since it is a sibling distribution to K3s built with a stronger emphasis on security, hardened defaults, and configuration options that allow clusters to pass the CIS Kubernetes Benchmark. It was specifically designed to meet compliance needs such as SOC 2, HIPAA, PCI DSS, and U.S. Federal Government requirements.

_Teams picking a compliant Kubernetes distro can follow comparisons like this on daily.dev before locking in an architecture._

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- [k3d for Local Kubernetes: How We Cut Cluster Startup From 3 Minutes to Under 10 Seconds](https://daily.dev/posts/k3d-for-local-kubernetes-how-we-cut-cluster-startup-from-3-minutes-to-under-10-seconds-9ka202co0) · Medium · 17 upvotes · 0 comments
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---

Tags: [#kubernetes](https://daily.dev/tags/kubernetes), [#edge-computing](https://daily.dev/tags/edge-computing), [#orchestration](https://daily.dev/tags/orchestration)

[View this post on daily.dev](https://daily.dev/posts/k3s-vs-k8s-when-lightweight-kubernetes-distros-win-and-when-they-don-t--wlhfa9kos)

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