Hier finden sie eine List von Blog Posts über Themen mit dem Tag K8s-native Dev. (Part 2): AWS EKS & Skaffold

Skaffold handles the workflow for building, pushing and deploying your application, allowing you to focus on what matters most: writing code.

What is Skaffold?

Skaffold is an open source project from Google handling the workflow for building, pushing and deploying your application to Kubernetes. It’s client-side only, with no on-cluster component and has a highly optimized tight inner loop, giving you instant feedback while developing.

You think that sounds great? Let’s check out Skaffold’s pipeline stages 🙌.

Pipeline Stages

Image

When you start Skaffold…

  1. it collects source code in your project,
  2. then builds artifacts with the tool of your choice,
  3. tags the successfully built artifacts as you see fit,
  4. pushes to the repository you specify and
  5. in the end helps you deploy the artifacts to your Kubernetes cluster, once again using the tools you prefer.

Skaffold allows you to skip stages. If, for example, you run Kubernetes locally with Minikube, Skaffold will not push artifacts to a remote repository.

Let’s get past the theory and build something usable. Remember my last post about mocking APIs in Kubernetes? We’ll be using the Go server and Mockoon for the following Skaffold example.

Interlude #1: kaniko

kaniko is a tool to build container images from a Dockerfile, inside a container or Kubernetes cluster.

kaniko doesn’t depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can’t easily or securely run a Docker daemon, such as a standard Kubernetes cluster.

kaniko is meant to be run as an image: gcr.io/kaniko-project/executor. It is not recommended running the kaniko executor binary in another image, as it might not work.

The kaniko executor image is responsible for building an image from a Dockerfile and pushing it to a registry. Within the executor image, we extract the filesystem of the base image (the FROM image in the Dockerfile). We then execute the commands in the Dockerfile, snapshotting the filesystem in userspace after each one. After each command, we append a layer of changed files to the base image (if there are any) and update image metadata.

We’ll be using kaniko in the following for in cluster building of those images, we want to use with Skaffold.

Interlude #2: Preparing AWS EKS & IAM

The Amazon ECR credential helper is built into the kaniko executor image. To configure credentials, you will need to do the following:

Update the credsStore section of the Docker config.json:

{ "credsStore": "ecr-login" }

You can use instance roles when pushing to ECR from a EC2 instance or from EKS, by configuring the instance role permissions.

In our example we’ll be just using { "credsStore": "ecr-login" } in a new config.json and create the secret via: kubectl create secret generic aws-secret --from-file=config.json, as the authentication to ECR will be regulated via an IAM role.

Setting up IAM

Assuming you have some kind of EKS Worker role for your EC2 EKS worker nodes, you have to attach a policy allowing access to ECR. In our example we’ll be using the AWS managed policy AmazonEC2ContainerRegistryPowerUser for testing purposes.

Image

Skaffold Magic 🪄

To get started you need a skaffold.yaml in your project root directory.

apiVersion: skaffold/v2beta27
kind: Config
metadata:
  name: http-mock
build:
  tagPolicy:
      sha256: {}
  artifacts:
  - image: yourrepo/go-mockoon
    # if you want to build your images locally, use:
    # docker:
    #   dockerfile: Dockerfile
    kaniko:
      dockerfile: Dockerfile
  cluster:
    pullSecretName: aws-secret
deploy:
  kubectl:
    manifests:
      - go-mockoon-k8s.yaml

Let Don’t forget to add the --port-forward flag for local testing:

$ skaffold dev --port-forward
(...)
Starting deploy...
 - deployment.apps/go-mockoon configured
Waiting for deployments to stabilize...
 - skaffold:deployment/mockoon is ready. [1/2 deployment(s) still pending]
 - skaffold:deployment/go-mockoon is ready.
Deployments stabilized in 2.487 seconds
Port forwarding service/mockoon in namespace skaffold, remote port 80 -> http://127.0.0.1:4503
Port forwarding service/go-mockoon in namespace skaffold, remote port 80 -> http://127.0.0.1:4504

Mermaid

Curl the mock endpoint to check if it works:

$ curl http://127.0.0.1:4504/
Hello World!

Great, everything seems to be working fine! 🙌 Now, if you change a line of code in your main.go server file, skaffold will detect the change and automagically rebuild your container with kaniko, push it to ECR and redeploy the go-mockoon pod.