As a popular orchestration container tool, Kubernetes (K8s) powers over 90% of global workloads, making it an important instrument in infrastructure development. However, its complexity and resource consumption aren't always good—especially for lightweight environments. That’s where K3s comes in, offering a streamlined alternative.
In this guide we compare K3s and K8s, helping you choose the right fit for your use case—whether it's enterprise-scale deployments or low-footprint edge clusters.
K3s keeps it light. If you're working with limited resources—like a Raspberry Pi, old device, or just need something quick for testing—K3s is your friend. It's super easy to install, doesn't eat up much memory.
K8s brings the muscle. When you’re dealing with more complex systems that need to scale reliably across multiple nodes and stay highly available, standard Kubernetes (K8s) is built for that.
What’s the real difference? K3s is all about simplicity and speed. K8s is all about power and control. They both run Kubernetes under the hood—it’s just a matter of how much you need to customize and scale.
K8s is short for Kubernetes. It is a widely used option in professional production environments for managing microservices-based and large-scale containerized workloads. Originally developed by Google and now maintained by the CNCF.
Standard Kubernetes is a modular tool and needs some manual touches, before getting deployed, such as the API server, scheduler, controller manager, etc. While this architecture provides powerful control and flexibility, it also adds significant operational complexity.
K8s is an ideal instrument for big teams with DevOps pipelines, and the resources to manage and maintain grand infrastructure. Let’s not forget that, K8s fully integrates well with cloud providers like AWS (via EKS), Google Cloud (via GKE), and Azure (via AKS), and supports a broad ecosystem of extensions and third-party tools for monitoring, logging, service meshes, and more.
Kubernetes (K8s) working scheme
Full documentation and community support: From Helm charts to service meshes, there’s a huge toolbox and community behind it.
Advanced features: Load balancing, autoscaling, RBAC, pod disruption budgets—you name it.
Cloud-native integrations: Easily integrates with major cloud providers and lets you build hybrid or multi-cloud setups.
Flexibility: You have control over every layer of your infrastructure.
Complex setup and maintenance: Requires expertise to install, configure, and operate effectively.
Resource-hungry: Demands a minimum of 2 GB RAM per node for smooth operation.
Operational overhead: Requires active monitoring, frequent updates, and manual scaling strategies if not managed via cloud services.
Steep learning curve: Can be overwhelming for teams without prior Kubernetes experience.
Now enter K3s—Kubernetes’ leaner cousin. Built by Rancher Labs and now maintained by SUSE, K3s is everything you love about Kubernetes—but packed into a smaller, easier-to-manage package. This one’s designed to provide a fully functional Kubernetes experience, but at the same time, it’s trying to reduce resource consumption, so your device won’t suffer from extensive workload.
K3s is a single binary—usually under 100MB—that includes the Kubernetes control plane, container runtime (containerd), networking (via Flannel), ingress (via Traefik), and even a Helm controller. Out of the box, it uses SQLite for the cluster datastore, but you can also connect it to MySQL, PostgreSQL, or etcd if you want HA.
By default, K3s uses SQLite as its datastore instead of etcd, although it can be configured to use MySQL, PostgreSQL, or external etcd clusters for enhanced high availability. It also includes:
containerd as the default container runtime
Flannel as the Container Network Interface (CNI)
Traefik as the default ingress controller
A built-in Helm controller for deploying charts
Kubernetes (K3s) working scheme explained
Lightweight and efficient: Minimal resource consumption allows it to run on devices with as little as 512 MB RAM.
Quick setup: You can deploy a single-node cluster with a one-line install script.
Ideal for development and edge scenarios: Works well in places where full-scale Kubernetes would be excessive or impractical.
Lower operational burden: Fewer moving parts make it easier to maintain.
Full Kubernetes compatibility: Supports standard manifests, kubectl, Helm charts, and the Kubernetes API.
Limited out-of-the-box HA: Full HA requires external database setup and additional configuration.
Security trade-offs: Some enterprise-grade features are disabled by default to conserve resources.
Smaller ecosystem: Though growing, K3s has fewer prebuilt integrations and community add-ons compared to standard Kubernetes.
Not intended for large, multi-tenant environments: Better suited for simpler or single-purpose deployments.
Both K8s and K3s developed CNCF-certified Kubernetes distributions. However, despite almost common origin and almost the same purposes, these two tools have very different functions and target different environments. K8s (Kubernetes) is a more complex container orchestration platform designed for vast ecosystems with the possibility of extension, and very suitable for large teams. It provides full control over networking, security, and infrastructure integrations. Sounds like an ideal solution for big companies, doesn't it?
On the other hand, K3s is specifically engineered to be more available for less powerful machines, and overall easier to use. The thing is, K3s doesn’t need the operational complexity of Kubernetes that much. It is possible by consolidating components into a single binary and including sensible defaults like containerd, Flannel, and Traefik.
Let’s not forget that, the main difference between K3s and K8s is not in capability—K3s supports the full Kubernetes API—but in setup, performance, and operating environment. If your team has a need for fast deployment and minimal headache, K3s is a strong candidate. For those managing large-scale, mission-critical systems with complex architectures, K8s is a better fit.
Here’s a quick comparison to summarize the key differences:
Feature |
K8s (Kubernetes) |
K3s |
Purpose |
Enterprise workloads, production-scale |
Edge, IoT, dev/test, low-resource |
Installation |
Manual, multi-component setup |
One-line install, single binary |
Resource Requirements |
2 GB+ RAM per node |
512 MB RAM minimum |
Datastore |
etcd (required) |
SQLite by default (etcd optional) |
Control Plane Architecture |
Multiple processes and services |
Combined into a single binary |
Add-ons |
User-installed |
Includes containerd, Flannel, Traefik |
Multi-tenancy |
Yes |
Limited; designed for single-tenant |
HA Support |
Built-in |
Requires external database |
Best for |
Complex, large-scale deployments |
Light, fast, and simple setups |
Before you decide what’s best for you, K3s or Kubernetes, you need to understand your goals and what tools you have to make your plans real.
If you are willing to build a scalable application that requires high resource consumption like networking, multi-tenancy, and enterprise integrations, K8s is the better option. It excels in large production clusters with diverse workloads and complex operational requirements.
However, if you are:
Then K3s will likely serve your needs better.
Both solutions are good and can even be used in your work together! For example, you can use K8s in production and K3s for development and testing environments. Pretty cool, right?
Kubernetes is a great tool for your modern infrastructure, but you need to be careful in choosing the right option for you. Depending on your needs, K3s or K8s can offer distinct advantages. K3s provides a more simplified solution ideal for fast-moving teams or if you don't have access to hi-tech infrastructure. K8s, on the other hand, remains the only solution for enterprises and big companies that need more advanced capabilities.
If you’re interested in using Kubernetes, check Hostman’s Kubernetes Service—it’s cheap and pretty powerful.
K3s is a lightweight version of Kubernetes, designed for resource-constrained devices, packaging all core components into a single binary. Kubernetes is a full-featured platform suited for large-scale enterprise deployments.
Yes, K3s is certified by the Cloud Native Computing Foundation as a conformant Kubernetes distribution, fully supporting Kubernetes APIs and tools.
Definitely! K3s is used in production across various sectors for edge computing, IoT, local development clusters, and continuous integration.
K3s requires only 512 MB of RAM and one virtual CPU, ideal for low-power environments. In contrast, standard Kubernetes requires at least 2 GB of RAM and more resources for its control plane.
Yes, migration is straightforward due to API compatibility, though you should account for differences in configurations.
Choose K3s for low-resource settings, quick deployments, or edge scenarios. Opt for Kubernetes for high availability, scalability, and enterprise-grade features.