The lightweight Kubernetes ecosystem has matured to the point where ARM homelab builders have several credible options. K3s, K0s, MicroK8s, and RKE2 all support ARM64, all run on RK3588 hardware, and all promise a simpler experience than a traditional kubeadm deployment. What they do not offer is the same trade-off profile.
Most comparisons focus on features. For ARM homelabs, the more important questions are practical ones: How much RAM does the control plane consume? Is ARM64 treated as a first-class platform or an afterthought? Does Longhorn work cleanly? How large is the community when something breaks? This article compares all four through that lens, using K3s as the reference baseline because it remains the most common Kubernetes distribution deployed on Turing Pi clusters. It is written for homelab builders, Turing Pi users, and cluster operators who want a clear answer before deciding which distribution to install. The conclusion is intentionally opinionated: one remains the best fit for most ARM homelabs, one is a legitimate alternative, and two solve problems that many homelab operators simply do not have.
What This Guide Covers
This guide evaluates K3s, K0s, MicroK8s, and RKE2 across six criteria that matter specifically on ARM hardware: ARM64 support quality, idle RAM overhead, install complexity on Ubuntu 22.04, HA datastore design, ecosystem maturity, and community activity. It is written for homelab builders, Turing Pi users, and anyone deciding which Kubernetes distribution to install before their next cluster deployment.
You will find a full comparison matrix, a decision summary table, and a direct recommendation for the workloads ARM homelab builders actually run. K3s is used as the reference baseline throughout because it remains the most widely deployed Kubernetes distribution on Turing Pi clusters.
The Comparison Criteria
Not every Kubernetes distribution fails in the same place. Some consume too much memory before a single workload is deployed. Others work well on x86 but treat ARM64 as a secondary platform. A few solve enterprise problems that most homelab operators will never encounter. To make the comparison useful, we’ll evaluate each distribution across six areas that matter most on ARM hardware.
ARM64 support quality: Official multi-arch binaries, community ports, and snap-mediated installs are not equivalent. On RK3588 hardware, ARM64 needs to be treated as a first-class platform with timely releases, complete documentation, and production-quality testing.
Idle RAM overhead: Every gigabyte consumed by the control plane is a gigabyte unavailable to workloads. This becomes especially important on 8GB nodes, where Kubernetes overhead competes directly with applications for memory.
Install complexity on Ubuntu 22.04 ARM64: Installation is often the first signal of long-term operational complexity. A distribution that requires workarounds on day one usually requires more workarounds during upgrades and maintenance.
HA support and datastore design: Embedded etcd, Dqlite, and external datastore options make different trade-offs around resilience, performance, and operational complexity. The datastore architecture often determines how gracefully a cluster handles failures.
Add-on and ecosystem maturity: Storage, ingress, observability, and backup tooling all depend on ecosystem support. A mature ecosystem reduces integration work and increases the likelihood that common problems already have documented solutions.
Community activity and release cadence: Documentation quality, bug resolution speed, and ARM64 issue coverage are all downstream of community size. When something breaks, an active ecosystem often matters more than a marginal performance advantage.
K3s: The Benchmark
K3s became the default recommendation for ARM homelabs long before competitors like K0s and RKE2 gained traction. The reason is simple: it was designed from the beginning for resource-constrained environments, treats ARM64 as a first-class platform, and removes much of the operational complexity that traditionally came with Kubernetes.
The official K3s resource profiling documentation reports approximately 1.2 GB RAM for a server node participating in a small cluster and approximately 268 MB RAM for an agent node under the project’s documented test methodology. While direct comparisons are difficult because competing distributions publish little equivalent ARM-specific profiling data, K3s remains one of the few projects providing transparent resource measurements on ARM hardware.
ARM64 support is also unusually mature. Every release ships official ARM64 binaries alongside other supported architectures, and the release cadence closely follows upstream Kubernetes. Installation on Ubuntu 22.04 ARM64 is effectively a single command, with architecture detection handled automatically. Readers deploying on Turing Pi hardware can follow our complete setup guide to go from assembled hardware to a working K3s cluster.
Longhorn integration is equally straightforward. Unlike some alternatives discussed later, K3s uses the standard kubelet paths expected by Longhorn, avoiding the distribution-specific workarounds required elsewhere. The full storage configuration is covered in our persistent storage and load balancing guide.
K3s also benefits from ecosystem maturity. Whether the goal is deploying a collection of self-hosted applications, automating cluster operations with Ansible, or running services such as Home Assistant, there is rarely a need for distribution-specific workarounds. Most integrations are already documented, tested, and widely deployed.
K3s is not perfect. The distribution makes several opinionated decisions on behalf of the user, including bundling Traefik and the local-path provisioner by default. Those choices simplify deployment, but they can create extra work for operators who prefer selecting and managing every cluster component themselves. SQLite is the default datastore for single-node deployments, though embedded etcd is the recommended choice for highly available multi-node clusters.
The larger advantage is less technical and more practical: community scale. K3s has become the reference point for lightweight Kubernetes on ARM, which means documentation, tutorials, troubleshooting guides, and ARM64-specific bug reports are significantly easier to find. For homelab operators, that often matters more than a small difference in resource consumption.
K0s: The Clean Alternative
K0s is the closest thing in this comparison to a less opinionated K3s. It targets the same lightweight Kubernetes category, supports the same ARM64 hardware, and avoids the complexity of a traditional kubeadm deployment. The difference is that K0s stays much closer to upstream Kubernetes and expects the operator to make more decisions themselves.
ARM64 is a first-class platform, with official arm64 binaries released alongside other supported architectures. Installation is straightforward, configuration lives in a single YAML file, and the overall experience remains clean from initial deployment through ongoing maintenance. Like K3s, K0s is lightweight enough to run comfortably on RK3588-based systems without demanding enterprise-class hardware.
The real difference is philosophy. K0s does not bundle Traefik, does not include a local-path provisioner by default, and does not try to make infrastructure decisions for the operator. Embedded etcd is the default datastore, and the project stays closer to upstream Kubernetes behavior than K3s.
For some users, that is exactly the appeal. If you prefer selecting your own ingress controller, storage platform, and cluster components from day one, K0s provides a cleaner foundation. It delivers much of the operational simplicity that makes K3s attractive while exposing more of the Kubernetes stack to the administrator.
The trade-off is ecosystem maturity. K3s has become the default choice for ARM homelabs, which means more tutorials, more troubleshooting resources, more third-party guides, and more examples built around it. K0s has an active and growing community, but it remains the option for operators who are comfortable solving a few more problems themselves in exchange for a less opinionated Kubernetes experience.
If K3s is the default recommendation for most ARM homelabs, K0s is the strongest alternative. For operators who value upstream consistency over convenience, it is the one distribution in this comparison that presents a genuinely compelling reason to switch.
MicroK8s: The Ubuntu Choice
MicroK8s takes a different approach from both K3s and K0s. Rather than focusing primarily on minimalism, it focuses on delivering a tightly integrated Kubernetes experience for Ubuntu users. The standout feature is its add-on system, which allows components such as DNS, ingress, observability, cert-manager, and storage to be enabled with a single command. For operators already invested in Canonical’s ecosystem, that simplicity is appealing.
ARM64 is officially supported, and MicroK8s installs cleanly on Ubuntu 22.04 through Snap. The challenge is that Snap is not just an installation method. It becomes part of the operational experience. Updates, service management, filesystem layouts, and cluster lifecycle management are all influenced by Snap, whether you want them to be or not.
For some environments, that integration is a strength. For others, it becomes friction. Storage platforms such as Longhorn require additional configuration compared to K3s, filesystem paths differ from conventional Kubernetes deployments, and automatic Snap updates can introduce surprises that many homelab operators prefer to avoid.
The result is a distribution that feels less portable than either K3s or K0s. Those projects behave similarly across different Linux distributions, while MicroK8s is most comfortable when running exactly where Canonical expects it to run: Ubuntu systems managed with Ubuntu tooling.
That does not make MicroK8s a bad choice. In fact, it may be the best choice for organizations already standardized on Ubuntu. The add-on ecosystem is mature, the installation experience is straightforward, and Canonical provides commercial backing that some operators value.
For most ARM homelabs, however, the advantages are less compelling. The same workloads can usually be deployed on K3s or K0s with fewer distribution-specific considerations, which makes MicroK8s feel more specialized than general-purpose. If your infrastructure already revolves around Ubuntu, MicroK8s deserves consideration. Otherwise, it is difficult to identify a strong reason to choose it over the alternatives.
RKE2: Built for Compliance
RKE2 is the outlier in this comparison because it was never designed primarily for homelabs. While K3s, K0s, and MicroK8s focus on lightweight Kubernetes deployments, RKE2 is aimed at organizations that need security hardening, compliance controls, and enterprise operational requirements built into the platform from the start.
ARM64 is officially supported, with production-grade releases available alongside other supported architectures. Installation is straightforward, and the architecture is intentionally close to upstream Kubernetes. Rather than consolidating components into a lightweight distribution, RKE2 runs a more traditional Kubernetes stack with additional security-focused capabilities layered on top.
Those capabilities are the reason organizations choose it. RKE2 includes support for CIS-hardened deployments, FIPS-compliant cryptography, audit logging, Pod Security Standards, and other controls that are commonly required in regulated environments. Government agencies, financial institutions, healthcare organizations, and industrial edge deployments often need these features before a cluster can even be approved for production use.
The trade-off is complexity and resource overhead. RKE2 expects more from the underlying hardware than K3s or K0s, and many of its security-focused features provide little practical benefit for a typical homelab. If the goal is learning Kubernetes, hosting self-hosted applications, running Home Assistant, or deploying AI workloads on ARM hardware, the additional operational weight rarely translates into meaningful advantages.
That does not make RKE2 a poor product. It is arguably one of the strongest options available when compliance requirements are non-negotiable. The issue is fit. Most homelab operators are optimizing for simplicity, resource efficiency, and ease of management, while RKE2 is optimized for environments where security audits and regulatory requirements drive infrastructure decisions.
For that reason, RKE2 is easy to recommend when compliance is the priority and difficult to recommend when it is not. On ARM homelab hardware, it is usually solving a problem that most homelab operators simply do not have.
Comparison Matrix
Full Comparison Across All Six Criteria
| Criterion | K3s | K0s | MicroK8s | RKE2 |
| ARM64 support | First-class ARM64 support with official multi-arch releases | First-class ARM64 support with official releases | Official ARM64 support through Snap | First-class ARM64 support with official releases |
| Resource footprint | Lightweight | Lightweight | Moderate | Heaviest of the four |
| Install on Ubuntu 22.04 ARM | Single-command installation | Simple installation with minimal dependencies | Snap-based installation | Simple installation with enterprise-focused defaults |
| HA support | Embedded etcd recommended for HA clusters | Embedded etcd by default | Dqlite-based HA | Embedded etcd designed for HA deployments |
| Ecosystem maturity | Most mature ARM homelab ecosystem | Smaller but growing ecosystem | Strong add-on ecosystem | Mature enterprise ecosystem |
| Community activity | Largest homelab-focused community | Active but smaller community | Strong Ubuntu-focused community | Large enterprise-focused community |
| Best suited for | Most ARM homelabs | Operators who prefer upstream Kubernetes behavior | Ubuntu-centric environments | Security and compliance-driven deployments |
Decision Summary
| Pick this if… | Distribution |
| You want the best overall balance of simplicity, ARM64 support, ecosystem maturity, Longhorn compatibility, and community support for an ARM homelab | K3s |
| You want a lightweight Kubernetes distribution that stays closer to upstream Kubernetes and lets you choose more of your own components | K0s |
| Your infrastructure is already standardized on Ubuntu and you value Canonical’s tooling and add-on ecosystem | MicroK8s |
| You operate in a security- or compliance-driven environment where CIS hardening, audit controls, and regulatory requirements matter more than resource efficiency | RKE2 |
The Practical Choice for ARM Homelabs
None of the alternatives in this comparison are bad products. K0s is a compelling choice for operators who prefer a more upstream Kubernetes experience. MicroK8s offers a polished Ubuntu-centric workflow with a mature add-on ecosystem. RKE2 delivers security and compliance features that many enterprise environments require. The question is not whether these distributions work. The question is which one makes the most sense on ARM homelab hardware.
For most Turing Pi deployments, K3s remains the most balanced answer.
Its ARM64 support is mature, releases track upstream Kubernetes closely, and the operational model is simple enough that clusters can be deployed and maintained without introducing unnecessary complexity. The project was designed for resource-constrained environments from the beginning, and that focus remains visible throughout the platform.
Perhaps most importantly, K3s has already proven itself across the types of workloads people actually run on Turing Pi hardware. Whether the goal is deploying self-hosted applications, running Home Assistant, automating infrastructure with Ansible, or hosting local AI services powered by Ollama, K3s consistently provides the least-friction path from hardware to working workloads.
The one honest challenger remains K0s. If you prefer selecting your own components and staying closer to upstream Kubernetes behavior, K0s is a legitimate alternative and the easiest recommendation among the three competitors. For most operators, however, the combination of ARM64 maturity, ecosystem depth, Longhorn compatibility, and operational simplicity keeps K3s in the lead.
That is not because K3s is perfect. It is because it offers the fewest compromises for the way ARM homelabs are actually used.
Conclusion
The good news is that there are no bad options in this comparison. ARM64 is no longer a second-class platform in the Kubernetes ecosystem, and homelab builders now have multiple distributions with official support, active development, and production deployments behind them.
The more interesting reality is that the differences between these projects are becoming less about features and more about operational philosophy. The Kubernetes APIs are largely the same. The workloads are largely the same. What changes is how much complexity each distribution chooses to expose and how much it chooses to hide.
For ARM homelabs, that trade-off matters more than almost any benchmark number. The best distribution is rarely the one with the most features. It is the one that lets you spend the least time thinking about Kubernetes and the most time running the workloads you actually built the cluster for.