WEBVTT 00:00.080 --> 00:07.040 In the past I taught a docker course and within it there is a tutorial that teaches you how to set up 00:07.040 --> 00:08.660 Docker desktop for Windows and Mac. 00:08.660 --> 00:15.620 So I'll just play the tutorial now and once ran from the past is done showing you how to set up Docker 00:15.620 --> 00:20.570 desktop, ran from the present, will take over and show you how to set up a Kubernetes cluster through 00:20.570 --> 00:21.260 Docker Desktop. 00:21.260 --> 00:23.270 Okay, so let's do that now. 00:24.290 --> 00:25.910 Uh, now we're going to install Docker. 00:25.910 --> 00:32.150 So click uh right docker install inside of Google Install the docker engine. 00:32.750 --> 00:33.200 Um. 00:39.530 --> 00:40.670 I'm using a mac. 00:40.670 --> 00:45.380 If you're using a MacBook that has the M1, M2 or M3 chip, whatever. 00:45.380 --> 00:48.170 Uh, click on Docker desktop for Mac with Apple Silicon. 00:48.170 --> 00:51.410 If you're still using a mac with the Intel chip, click on that. 00:52.040 --> 00:54.440 Um, I'm going to click on this one. 00:54.440 --> 00:57.380 I already have Docker installed, but I'll just go through the process with you. 00:57.380 --> 00:59.240 It's actually fairly simple. 00:59.630 --> 01:02.690 So go to my downloads. 01:02.690 --> 01:04.430 Click on the installer. 01:06.020 --> 01:07.220 It should install right away. 01:07.220 --> 01:11.450 It's just going to prompt you to drag this to your applications folder. 01:19.940 --> 01:27.140 All right, um, if I open up the launchpad, I'm going to see Docker right here. 01:33.260 --> 01:40.040 If I click on it, I already have the Docker engine started up and running for you. 01:40.040 --> 01:42.770 It should show a whale icon that's just starting up. 01:42.770 --> 01:44.420 Give it some time to start up. 01:50.840 --> 01:56.510 Okay, once it shows Docker Desktop running, click on sign in slash. 01:56.510 --> 01:57.620 Sign up. 01:57.800 --> 01:59.060 All right. 02:07.100 --> 02:13.730 Um, then I'm going to continue with Google because I already have an account with them. 02:13.730 --> 02:18.050 If you don't have an account, make sure to sign up and then sign back in. 02:18.050 --> 02:18.830 All right. 02:18.830 --> 02:20.990 So I'm going to continue with Google. 02:22.970 --> 02:24.290 It's going to sign me in. 02:24.290 --> 02:25.940 Now I can open Docker. 02:25.940 --> 02:28.250 So this is the Docker dashboard. 02:28.250 --> 02:31.940 And it shows that I'm signed in as are slim 087. 02:31.940 --> 02:39.570 Please do not proceed with this course until you have a Docker account and that you're signed into it 02:39.570 --> 02:42.390 through your local Docker dashboard. 02:42.390 --> 02:47.010 Okay, you can access the dashboard all the same by just clicking on go to dashboard. 02:47.250 --> 02:49.530 Uh, again make sure it shows your username. 02:49.530 --> 02:53.070 Make sure you're logged in once you have that set up. 02:53.310 --> 02:56.100 Uh, this is where all of our containers will show up. 02:56.100 --> 02:58.050 We're going to have visibility to them there. 02:58.050 --> 03:00.390 Well, we're also going to access them through the command line. 03:00.390 --> 03:02.310 But whatever you can also see your image. 03:02.310 --> 03:02.640 All right. 03:02.640 --> 03:03.060 Hey guys. 03:03.060 --> 03:04.860 It's ran from the present. 03:05.190 --> 03:08.700 Um, click on the gear icon in your Docker dashboard. 03:08.700 --> 03:09.360 Okay. 03:09.360 --> 03:11.670 Once you do that go to Kubernetes. 03:11.670 --> 03:16.170 Click Enable Kubernetes, apply and restart okay. 03:16.170 --> 03:17.580 It should take a bit of time. 03:17.580 --> 03:19.050 Not too long. 03:20.250 --> 03:20.730 All right. 03:20.730 --> 03:24.000 Once it stops loading you've enabled Kubernetes. 03:24.000 --> 03:29.730 And what this does is starts a single node cluster when starting Docker desktop. 03:29.730 --> 03:34.830 So I want to distinguish between a single node cluster and a multi node cluster. 03:34.860 --> 03:41.910 A single node cluster means that our personal machine, our laptop or a desktop, whatever you're using 03:41.910 --> 03:46.800 in this case takes up the role of worker node and master node. 03:46.800 --> 03:54.900 But in a production environment what you would do is host a multi node cluster on a cloud provider like 03:55.290 --> 04:01.320 AWS or Azure where you've got many, many worker nodes, many master nodes all working together under 04:01.320 --> 04:06.510 the supervision of the Kubernetes software to achieve container orchestration at scale. 04:06.540 --> 04:10.530 But in this case, because we're just prototyping, we're doing things locally. 04:10.530 --> 04:18.600 We just have a single node cluster where our personal machine is simply running Kubernetes. 04:18.750 --> 04:19.830 All right. 04:19.890 --> 04:25.380 To make sure that everything is working, what I want you to do is actually start by just writing cube 04:25.380 --> 04:26.700 CTL. 04:26.940 --> 04:27.540 All right. 04:27.540 --> 04:32.760 Cube CTL is a command line tool that we use to interact with a Kubernetes cluster. 04:32.760 --> 04:37.800 Which cluster is this cube CTL command line tool interacting with. 04:37.830 --> 04:42.540 You can check that by saying cube CTL config current context. 04:42.540 --> 04:51.750 So our kubectl commands are configured to interact with the Kubernetes cluster that's being hosted locally 04:51.750 --> 04:53.820 by Docker desktop. 04:54.000 --> 04:54.660 All right. 04:54.660 --> 05:01.200 Any kubectl command that we execute is going to go to our local Kubernetes cluster. 05:01.200 --> 05:04.650 And that's pretty much it for setting up Kubernetes.