CEO and Co-Founder Sheng Liang has a saying about how we approach open source at Rancher Labs: “Let a thousand flowers bloom.” When we set out to build something, we don’t know if it will turn into a successful product, spark another product idea or be a good idea that doesn’t get traction. The joy is in the journey.

Kubernetes is a powerful orchestration system, however, it can be really hard to configure its deployment process. Specific apps can help you manage multiple independent resources like pods, services, deployments, and replica sets. Yet, each must be described in the YAML manifest file.

As the Kubernetes ecosystem grows, new technologies are being developed that enable a wider range of applications and use cases. The growth of edge computing has driven a need for some of these technologies to enable the deployment of Kubernetes to low-resource infrastructure to the network edge. In this blog post, we are going to introduce you to one method of deploying k3OS to the edge. You can use this method to automatically register your edge machine to a Rancher instance as a control plane.

MicroK8s was first released in late 2018 and has seen significant adoption rates from developers and enterprises alike ever since. Taking increasing demand and curiosity around the topic, we have already given an introduction to MicroK8s as well as covered how to deploy MicroK8s locally in previous blog posts. This time, we’ll take a look at MicroK8s’ applied value, by examining common MicroK8s use cases. Among others, this includes AI/ML workflows.

Today’s leading companies are one step ahead of their competitors as they adopt new tools and disciplines emerging from the cloud native landscape. That was the case for Ziff Media Group, which is a collection of several media web properties including pcmag.com, mashable.com, deals.com, offers.com, and more.