Kube Mac OS

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'If you're serious about security, Qubes OS is the best OS available today. It's what I use, and free.' 'Happy thought of the day: An attacker who merely finds a browser bug can't listen to my microphone except when I've told Qubes to enable it.' 'When I use Qubes I feel like a god. A nightly updated Mac OS image is available. Requires Mac OS Mavericks (10.9) or later. Kube is available for a variety of distributions.

By the end of this document, you'll have a local installation of Minikube kubernetes cluster along with all the default core components ofKubeedge deployed as services in the pods. You should be able to access JupyterHub notebooks, and the Kubeedge Dashboard.

Prerequisites

  • Laptop, Desktop or a Workstation
    • >= 12GB RAM
    • >= 8 CPU Cores
    • ~100GB or more Disk Capacity
    • Optional: GPU card
  • Mac OS X or Linux (Ubuntu/RedHat/CentOS)
  • sudo or admin access on the local machine
  • Access to an Internet connection with reasonable bandwidth
  • A hypervisor such as VirtualBox, Vmware Fusion, KVM etc.

If you already have a hypervisor on your system, you can follow the Quick Setup to do a guided Minikube setup.

Install a Hypervisor

If you do not already have a hypervisor or a virtualizer installed, install a new one. Once the hypervisor is installed, you don't need to start or use it directly. Minikube will automatically invoke the hypervisor to start the VM.

Mac OS X

Install Virtual Box or VMware Fusion.

Ubuntu

Install Virtual Box or KVM.

Versions

The KVM2 driver is intended to replace KVM driver. The KVM2 driver is maintained by the minikube team, and is built, tested and released with minikube.For installing KVM:

Then install the driver itself:

CentOS

Install Virtual Box or KVM.

For installing KVM:

Then install the driver itself:

Quick Setup

The following describes a script driven installation that you can use to deploy allthe necessary components including kubectl, minikube, kfctl along with Kubeedge itself. The script requires input from you on some configuration information and then it drives the rest of the installation. Run the following to start the installation:

Kubeedge_TAG is a tag corresponding to the version to checkout such as v0.3.0 or master.

The script asks for some config input as shown below:

Let us consider the example for CPUs configuration. When it asks Assign CPUs between 3.10 [6]: the 3.10 suggest the range of CPU cores available based on your host machine. [6] is the suggested default. You can choose any value within the range and enter the value or just press enter to accept the default value suggested in square brackets. In the image above, we choose the default 6 for CPUs and specified 12GB of memory explicitly. Note that:

  1. You will need to specify the virtualizer installed on the system explicitly and it needs to be one of the values provided as options.
  2. If you don't want to mount any local directory into the JupyterHub simply press enter instead of specifying any path.

After the configuration is complete, the script will continue execution for the next few minutes and when finished successfully should output some like:

When the installation finishes successfully, you can access JupyterHub as described in Where to go next. If you have trouble with the installation script or run into errors, you can follow the detailed installation steps manually as described below.

Install Kubectl

GCloud SDK
Mac OS X
Ubuntu
CentOS

Verify kubectl installed

Try running

This should output something like Tom spoon mac os.

Install & Start Minikube

Please see detailed instructions for Minikube installation.For quick setup instructions follow along below.

Mac OS X

Mac Os Versions

OR

Ubuntu or CentOS
Start your minikube cluster

This takes a couple minutes as it will talk to the hypervisor and create a VM with the specified configuration.

Notes:

  1. These are the minimum recommended settings on the VM created by minikube for Kubeedge deployment. You are free to adjust them higher based on your host machinecapabilities and workload requirements.
  2. Using certain hypervisors might require you to set –vm-driver option specifying the driveryou want to use.

Reel mac os. In case, you have the default minikube VM already created (following detailed installation instructions), please use the following to update the VM.

Installing Kubeedge using kfctl

The following steps will deploy Kubeedge components and start them on the Minikube you created above.

  1. Download Kubeedge source

    • Kubeedge_SRC is the directory where you want to download the source
    • Kubeedge_TAG is a tag corresponding to the version to checkout such as v0.3.0
  2. Run the following to setup and deploy Kubeedge:

    • KFAPP is the name of a directory to store your configs. This directory is created when you run init. Please see understanding the deployment process for more details.

Mac Os Download

The above installation may take a few minutes. At the end of the installation you should see:

Where to go next

Mac

The KVM2 driver is intended to replace KVM driver. The KVM2 driver is maintained by the minikube team, and is built, tested and released with minikube.For installing KVM:

Then install the driver itself:

CentOS

Install Virtual Box or KVM.

For installing KVM:

Then install the driver itself:

Quick Setup

The following describes a script driven installation that you can use to deploy allthe necessary components including kubectl, minikube, kfctl along with Kubeedge itself. The script requires input from you on some configuration information and then it drives the rest of the installation. Run the following to start the installation:

Kubeedge_TAG is a tag corresponding to the version to checkout such as v0.3.0 or master.

The script asks for some config input as shown below:

Let us consider the example for CPUs configuration. When it asks Assign CPUs between 3.10 [6]: the 3.10 suggest the range of CPU cores available based on your host machine. [6] is the suggested default. You can choose any value within the range and enter the value or just press enter to accept the default value suggested in square brackets. In the image above, we choose the default 6 for CPUs and specified 12GB of memory explicitly. Note that:

  1. You will need to specify the virtualizer installed on the system explicitly and it needs to be one of the values provided as options.
  2. If you don't want to mount any local directory into the JupyterHub simply press enter instead of specifying any path.

After the configuration is complete, the script will continue execution for the next few minutes and when finished successfully should output some like:

When the installation finishes successfully, you can access JupyterHub as described in Where to go next. If you have trouble with the installation script or run into errors, you can follow the detailed installation steps manually as described below.

Install Kubectl

GCloud SDK
Mac OS X
Ubuntu
CentOS

Verify kubectl installed

Try running

This should output something like Tom spoon mac os.

Install & Start Minikube

Please see detailed instructions for Minikube installation.For quick setup instructions follow along below.

Mac OS X

Mac Os Versions

OR

Ubuntu or CentOS
Start your minikube cluster

This takes a couple minutes as it will talk to the hypervisor and create a VM with the specified configuration.

Notes:

  1. These are the minimum recommended settings on the VM created by minikube for Kubeedge deployment. You are free to adjust them higher based on your host machinecapabilities and workload requirements.
  2. Using certain hypervisors might require you to set –vm-driver option specifying the driveryou want to use.

Reel mac os. In case, you have the default minikube VM already created (following detailed installation instructions), please use the following to update the VM.

Installing Kubeedge using kfctl

The following steps will deploy Kubeedge components and start them on the Minikube you created above.

  1. Download Kubeedge source

    • Kubeedge_SRC is the directory where you want to download the source
    • Kubeedge_TAG is a tag corresponding to the version to checkout such as v0.3.0
  2. Run the following to setup and deploy Kubeedge:

    • KFAPP is the name of a directory to store your configs. This directory is created when you run init. Please see understanding the deployment process for more details.

Mac Os Download

The above installation may take a few minutes. At the end of the installation you should see:

Where to go next

Now you can access the Kubeedge dashboard at http://localhost:8080/ and JupyterHub at http://localhost:8080/hub/.For JupyterHub, you'll be landing on a login page.

  • Use any username and password to login
  • Pick an available CPU tensorflow image
  • Provide at least 2 CPUs
  • Provide 4Gi for the memory
  • Leave 'Extra Resource Limits' alone for now
  • Click Spawn.
  • You should be redirected to a page that waits while the server is starting.

If the page doesn't refresh, please seetroubleshooting.

For further exploration refer to the guide.

UPDATED in July 2020 with the latest instruction set.

Are you looking for a Kubernetes solution to run on your Mac? MicroK8s is a lightweight, pure upstream distribution of Kubernetes developed by Canonical. It's a compact Linux snap that installs a single-node Kubernetes cluster alongside carefully selected add-ons on Linux, Windows and macOS. Although MicroK8s was originally built for Linux, Kubernetes on Mac works natively with MicroK8s, using an Ubuntu virtual machine (VM).

MicroK8s has a low resource footprint and can be used as a single-node Kubernetes or as a multi-node cluster. This allows teams to develop and test their cloud-native applications, build CI-CD pipelines, develop AI/ML models or embed an auto-upgradeable Kubernetes in IoT and edge appliances.

While MicroK8s automates the typical functions of Kubernetes, such as scheduling, scaling and debugging, it also abstracts some of its complexity by pre-packaging add-ons such as DNS, the Kubernetes dashboard, and Istio. Additionally, MicroK8s follows the upstream Kubernetes release cadence, making new versions available within days of the official release.

Kubernetes on Mac set up steps

The following steps are required to download MicroK8s on macOS and set up the necessary add-ons to access the MicroK8s dashboard.

Step 1: Install MicroK8s

If you don't have the brew command you can get it from the Homebrew website.

Step2: Check MicroK8s status

Step 3: Enable the dashboard add-on

Step 4: Access the Kubernetes dashboard

Kube Mac Os Download

Kubernetes on Mac in summary

MicroK8s is easy to install and provides a nice way to do Kubernetes on Mac workstations. For larger-scale use cases, MicroK8s nodes can be clustered together. To read more about clustering and other advanced MicroK8s configuration, continue reading and exploring with the official MicroK8s documentation.

Useful reading

What is Kubernetes?

Kubernetes, or K8s for short, is an open source platform pioneered by Google, which started as a simple container orchestration tool but has grown into a platform for deploying, monitoring and managing apps and services across clouds.

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