Fast feedback loops are instrumental to gaining confidence in changes and achieving a steady pace of delivery. In many teams, Docker has been an important force behind removing delays in the pipeline to production. Taking control of your environments is a powerful move to make as a scrum team.
Overview 'Think globally, act locally' Run your GitHub Actions locally! Why would you want to do this? Two reasons: Fast Feedback - Rather than having to commit/push every time you want to test out the changes you are making to your.github/workflows/ files (or for any changes to embedded GitHub actions), you can use act to run the actions locally. Run container locally. From the root Northwind project folder where you have placed Dockerfile, run the following command to build the image locally: docker image build -tag northwind:latest. As your application now uses AWS Systems Manager Parameter Store to store connection strings, you need to provide to container information on how to. Docker Desktop is the easiest way to get started with either Swarm or Kubernetes. A swarm is a group of machines that are running Docker and joined into a cluster. After that has happened, you continue to run the Docker commands you’re used to, but now they are executed on a cluster by a swarm manager.
Seeing that Kubernetes appears to be becoming the leading orchestration platform, chances are that the containerized applications you and your team are working on will land on a Kubernetes cluster. That is why I was excited to see that in the latest version of Docker it is now possible to run a local Kubernetes cluster. In this blog you will learn how to start a local Kubernetes cluster with the latest Docker version.
Installing Docker Edge
Docker with Kubernetes is currently only available on Docker for Mac in the latest Edge version. Download the installer from the Docker store. Close your currently running Docker daemon if necessary and install the Edge version.
Attention: Switching from Stable to Edge will result in losing all your containers and images!
Enabling the local Kubernetes cluster
Click the Docker icon in the status bar, go to “Preferences”, and on the “Kubernetes”-tab, check “Enable Kubernetes”. This will start a single node Kubernetes cluster for you and install the kubectl command line utility. This might take a while, but the dialog will let you know once the Kubernetes cluster is ready.
Before you continue: if you’ve previously used kubectl, you may have to switch the context to your local cluster. Run the following command:
kubectl config use-context docker-for-desktop
Running our first workload
No point in running a Kubernetes cluster if we don’t put it to work, right? Let’s start with deploying the Kubernetes Dashboard UI, which is a Kubernetes workload in itself.
kubectl create -f https://raw.githubusercontent.com/kubernetes/dashboard/v1.10.1/src/deploy/recommended/kubernetes-dashboard.yaml
This should create all the necessary objects for the UI to run properly, which you can check by running
kubectl proxy, followed by visiting http://127.0.0.1:8001/api/v1/namespaces/kube-system/services/https:kubernetes-dashboard:/proxy/.
Running Kubernetes through Docker is an interesting option because it removes the need for the minikube virtual machine and the separate minikube binary to manage that. In some cases, it might even lessen the need for a cluster running in the cloud, reducing costs. But, the biggest benefit is, of course, is having a more production-like environment at the tip of your fingers in a few seconds.
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It's been a few years since I was a maintainer of minikube, but after the news that Docker Desktop will no longer be free for enterprises and some of the misconceptions of how the technology works, I thought I'd write a post.
Edit: Since this is blowing up, I wanted to say that I'm a frequent Docker Desktop user and would happily pay for it for my entire team. As someone who knows the problem space, its a piece of machinery with so many moving parts that are hard to get right.
Like I said in my 10k Hours of Programming, I'm not an expert programmer, but this might be a topic I've spent a lot of time working on. Let's start with minikube.
Minikube is the officially supported way to run Kubernetes locally on macOS, Windows, or Linux. Furthermore, it is the only tool that is a drop-in replacement for Docker Desktop.
- Minikube requires a VM. False – you can run minikube directly on Linux without a virtualization layer. Running minikube without a virtual machine is equivalent to a batteries-included version of kubeadm.
- Minikube and Docker-for-Mac are fundamentally different. False. Both use similar drivers under the hood for macOS and Windows virtualization. However, Docker's are proprietary, minikube's are open-source.
- kind, microk8s, or k3s are replacements for Docker Desktop. False. Minikube is the only drop-in replacement. The other tools require a Linux distribution, which makes them a non-starter on macOS or Windows. Running any of these in a VM misses the point – you don't want to be managing the Kubernetes lifecycle and a virtual machine lifecycle. Minikube abstracts all of this.
A deeper dive into the other tools:
k3s – a minimal distribution of Kubernetes. k3s requires Linux. Minikube works on all platforms.
Minikube's internal architecture looked like k3s long before k3s was created – a binary called localkube ran all the Kubernetes components in different goroutines. While it was quick to set up and tear down, we ran into non-conformance issues before the conformance program was designed. Since minikube vendored internal APIs, upgrading was a herculean task. Now, minikube now provisions with kubeadm. k3s is a more viable option now that the development of Kubernetes has slowed and there aren't as many breaking changes. But a few CPU cycles isn't really worth the headache of having your developer debugging why SQLite (k3s) is acting differently than etcd (minikube).
microk8s – a Snap distribution of Kubernetes. Only for Linux. Not sure why you would use it. Minikube has been far more battle-tested and is multi-platform, and doesn't require lock-in to a pseudo-package manager. you can run it in multipass, which spins up virtual machines, but it isn't as turnkey as minikube.
kind – kind runs Kubernetes inside Docker. Of course, this requires that you already have Docker on your machine. Why choose minikube over kind? You have to choose between friction with VM networking (minikube) or friction with two layers of container networking (kind). I'm biased, but I feel more comfortable with a layer of VM networking.
podman – podman is an alternative to Docker, but get mentioned as a replacement for the Docker component (not Kubernetes) of Docker Desktop. You can use podman inside of minikube.
Run Redis Locally Mac Docker
In closing, I think that the outrage over Docker's decision is far overblown. If you're an enterprise using Docker Desktop at scale, then you should be paying for support. I'm actually really excited about the current direction of Docker and the focus the team is putting on developer tools. There are talented folks building some great features at Docker.
The most significant benefit to minikube is that you can fully customize and fork the distribution. This is great for platform teams that need to deliver a tailored experience to their end-users (developers).
Run Docker Container Locally Mac
Comments? See the Hacker News Thread or reach out on Twitter.
Run Docker Locally Mac File
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