Canonical has released MicroK8s – a fast and efficient upstream Kubernetes delivered as a single snap package that installs on 42 flavours of Linux. With a small disk and memory footprint, MicroK8s provides an efficient way to deploy Kubernetes in seconds, whether on the desktop, the server, an edge cloud, or IoT device.
MicroK8s is available through the Snap Store and can be deployed easily:
sudo snap install microk8s --classic
The benefits of providing MicroK8s as a snap include automatic updates and well-defined security capabilities. Automatic updates ensure developers are always working from the latest upstream Kubernetes with binaries delivered directly from the source and configured in seconds. Running the latest upstream version also means that MicroK8s benefits from Kubernetes’ built-in security features. MicroK8s installs fully conformant Kubernetes version 1.13 and comes with exciting new features.
To further accelerate Kubernetes adoption and simplify common developer scenarios, MicroK8s includes a growing number of add-on services, including a container registry, storage pass-through and native GPGPU enablement – all of which are enabled with a single command. For data scientists and machine learning engineers, the GPGPU enablement simplifies adding hardware acceleration to their machine learning workflows.
Key use cases that MicroK8s facilitates include:
To learn more about how to deploy Kubernetes in seconds, click below.
Interested in running Ubuntu Desktop in your organisation?
Snapcraft squad Report a Snap Last year, a snap was found in the Snap Store using computing resources for bitcoin mining without user consent. This software was retired from the Store after further investigation and highlighted the need…
With a proliferation of related hardware, software and solutions being rushed out to capture the promise of a multi-billion dollar IoT industry, vendors are under pressure to decrease their development time and speed up their time to…
My current job involves me mostly working in the upper layers of the desktop software stack however I started out working in what was then called embedded engineering but now would probably be know as the Internet of Things (IoT). I worked…