Episode listing
Intro
We'll clone the starter files repo in preparation for working through the course. We'll take a peek under the covers at and locally spin up Captioned Image Uploader, the example Rails application that we'll be deploying to Kubernetes throughout the rest of the course.
Introduction to Google Cloud
We'll register for a Google Cloud account, create a project, and prep for our application deployment by creating our database, our GKE cluster, building and pushing our Docker image, and so on using both the GCP Web console as well as the gcloud CLI.
Introduction to Kubernetes concepts
A guided talk through the fundamental Kubernetes resources that we'll use to build our deployment. We'll learn about Pods, Deployments, Jobs, CronJobs, Services, and Ingresses, and sketch a diagram of how they'll all fit together to run our app.
Deploying our code
We'll get kubectl installed and connected to our GKE cluster, start using it to manipulate our cluster, write manifests for the Kubernetes resources we'll need (Job, Deployment, Secrets, Service), and finally create them to get our application up and running! 🤩
Fixing image upload using Google Cloud Storage
It's alive! 😍 But it's got a problem. 😭 We'll fix an issue with image uploads by setting up Google Cloud Storage. Along the way we'll learn how to use IAM Service Accounts and how to pop a remote Rails console.
Ingress, domain name, and HTTPS!
So far we've been accessing our application directly over an internal Service. We'll replace this with a more scalable solution by creating our first Ingress, giving it a domain name, and getting a TLS certificate through Let's Encrypt to enable HTTPS.
Boosting static asset performance using Cloud CDN
Up until now we've been serving our static assets directly from our Rails server (boo, slow!). We'll replace this with Cloud CDN (hooray, fast!). To accomplish this we'll meet a new Kubernetes resource, BackendConfig, and learn how to wire it up through a new Service port and our Ingress.
Provisioning cloud resources with Terraform
While building our application, we provisioned GCP resources using the web console and the gcloud CLI. We'll investigate using Terraform to replace our manual work with declarative templates which will make our deploys repeatable, versionable, and all the other benefits of moving infrastructure management to code.
Charting our app with Helm
We get sick of running `kubectl apply` over and over and decide to use Helm, Kubernetes's package manager, to template and package up our app into a reusable chart for simplified app deployment.