Docker For Mac Minikube

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Docker For Mac 17.12 GA Release is now available for the general public. Experimental Kubernetes Support is available only on Edge Release. You can now run a single-node Kubernetes cluster from the “Kubernetes” Pane in Docker For Mac Preferences and use kubectl commands as well as docker commands. This means that there is no need of installing Kubectl or related Kubernetes CLI commands. It is ready-to-use platform which gives developers a simple and fast way to build and test Kubernetes apps locally with the latest and greatest Docker.

Say Bye to Minikube

Nov 11, 2019  Minikube Setup: Docker for Mac / Sierra. GitHub Gist: instantly share code, notes, and snippets.

Minikube tutorial

Before Docker for Mac 17.12 release, for anyone who wants to get started with single node Kubernetes cluster, Minikube was an ideal tool. Minikube is a great local development environment and a way to learn the most common commands that help you to bring up a single node K8s cluster. To use Minikube, one needed a hypervisor and a container solution as well as the Kubernetes command-line tool called kubectl. Now these tools has to be manually installed on your Linux/MacOS.

But with the arrival of Kubernetes powered Docker for Mac 17.12, you no longer need these 3rd party tools & hypervisor to be installed or configured. Just update your Docker for Mac to 17.12 release and there you have ready-to-use single node Kubernetes cluster already up and running.

The Kubernetes server runs within a Docker container on your Mac, and is only for local testing. When Kubernetes support is enabled, you can deploy your workloads, in parallel, on Kubernetes, Swarm, and as standalone containers. Enabling or disabling the Kubernetes server does not affect your other workloads.

A Little about Kubernetes in 2018.

Kubernetes is not a mere orchestration system, in fact, it eliminates the need for orchestration. If you look at the technical definition of orchestration in wikipedia, it is all about the execution of a defined workflow: first do X, then Y, then Z. But in contrast, Kubernetes is comprised of a set of independent, composable control processes that continuously drive the current state towards the provided desired state. It shouldn’t matter how you get from X to Z. No need of any centralised control. This results in a system that is easier to use and more powerful, robust, resilient, and extensible.

Kubernetes provides a rich set of features for container grouping, container orchestration, health checking, service discovery, load balancing, horizontal autoscaling, secrets & configuration management, storage orchestration, resource usage monitoring, CLI, dashboard and much more. Few of the important points one should know about K8s are –

  • Kubernetes operates at the application level rather than at the hardware level
  • Kubernetes is not monolithic, and these default solutions are optional and pluggable.
  • Kubernetes is not a traditional, all-inclusive PaaS (Platform as a Service) system
  • Kubernetes operates on a declarative model, object specifications provided in so called manifest files declare how you want the cluster to look.
  • Kubernetes aims to support an extremely diverse variety of workloads, including stateless, stateful, and>

    Setting up Web Application Cluster on K8s in 3 minutes

    This section assumes that you are well versed with Kubernetes architectureand concepts. We will start with a clean MacOS system, hence there is no POD, no deployment and just default Kubernetes service running on your machine.

    Steps:

    • Creating Pod using Pod Definition
    • Exposing Pod to external world
    • Cleaning up

    Creating Pod using Pod Definition

    The simplest pod definition describes the deployment of a single container. A pod definition is a declaration of a desired state. For example, a simple web server pod might be defined as such:

    It’s time to create our first Pod.

    To create a pod containing a web server, run the below command:

    Once the pod is created, you can list it using the below command:

    Showcasing details of a specific Pod can be achieved with the following command:

    Listing the Deployment:

    Creating a Deployment

    Verifying the Deployment

    Exposing the pods

    Exposing your pods so that it can access on the browser:

    Once the above command runs successfully, you should be able to list out the services –

    Now we should be able to access the Webdemo Test Page using the below command:

    Done. You have created your first Single Node web application cluster running on Kubernetes powered Docker for Mac Platform.

    Interestingly, one can run Docker specific commands too to list out the running containers:

    I1Profiler (i1Publish) v1.8.1 Name: i1Profiler (i1Publish) Version: v1.8.1 Previous Version: v1.8.0 Release Date: September 4, 2018 File Type: PC - Self-extracting Executable, Mac - ZIP File Download File: PC Version Mac Version Notes: This update to i1Profiler is a new feature and bug-fix release. I1 profiler mac torrent. I1Profiler (i1Publish) v1.7.1 Download: i1Profiler (i1Publish) Version: v1.7.1 Previous Version: v1.7.0 Release Date: File Type: PC - Self-extracting Executable, MAC - Zip File Download: PC Version Mac Version Notes: This update to i1Profiler is a bug-fix release to fix the following issues: The print button was not working when trying to make RGB printer profiles. V1.7.2 is a Mac only release. This update to i1Profiler improves support for display calibration on systems running macOS HighSierra.

    Cleaning Up

    To delete the webdemo containers, delete the deployment:

    Did you find 3-minutes still time-consuming? Do visit the below post to see how docker stack deploy can save your time.

    Did you find this blog helpful? Feel free to share your experience. Get in touch @ajeetsraina.

    If you are looking out for contribution/discussion, join me at Docker Community Slack Channel.

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