CDK Entest

Setup ALB Controller#

Following this to install the aws alb controller.

First, create a IAM policy.

AWSLoadBalancerControllerIAMPolicy.json

{
  "Version": "2012-10-17",
  "Statement": [
    {
      "Effect": "Allow",
      "Action": ["iam:CreateServiceLinkedRole"],
      "Resource": "*",
      "Condition": {
        "StringEquals": {
          "iam:AWSServiceName": "elasticloadbalancing.amazonaws.com"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "ec2:DescribeAccountAttributes",
        "ec2:DescribeAddresses",
        "ec2:DescribeAvailabilityZones",
        "ec2:DescribeInternetGateways",
        "ec2:DescribeVpcs",
        "ec2:DescribeVpcPeeringConnections",
        "ec2:DescribeSubnets",
        "ec2:DescribeSecurityGroups",
        "ec2:DescribeInstances",
        "ec2:DescribeNetworkInterfaces",
        "ec2:DescribeTags",
        "ec2:GetCoipPoolUsage",
        "ec2:DescribeCoipPools",
        "elasticloadbalancing:DescribeLoadBalancers",
        "elasticloadbalancing:DescribeLoadBalancerAttributes",
        "elasticloadbalancing:DescribeListeners",
        "elasticloadbalancing:DescribeListenerCertificates",
        "elasticloadbalancing:DescribeSSLPolicies",
        "elasticloadbalancing:DescribeRules",
        "elasticloadbalancing:DescribeTargetGroups",
        "elasticloadbalancing:DescribeTargetGroupAttributes",
        "elasticloadbalancing:DescribeTargetHealth",
        "elasticloadbalancing:DescribeTags"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "cognito-idp:DescribeUserPoolClient",
        "acm:ListCertificates",
        "acm:DescribeCertificate",
        "iam:ListServerCertificates",
        "iam:GetServerCertificate",
        "waf-regional:GetWebACL",
        "waf-regional:GetWebACLForResource",
        "waf-regional:AssociateWebACL",
        "waf-regional:DisassociateWebACL",
        "wafv2:GetWebACL",
        "wafv2:GetWebACLForResource",
        "wafv2:AssociateWebACL",
        "wafv2:DisassociateWebACL",
        "shield:GetSubscriptionState",
        "shield:DescribeProtection",
        "shield:CreateProtection",
        "shield:DeleteProtection"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "ec2:AuthorizeSecurityGroupIngress",
        "ec2:RevokeSecurityGroupIngress"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": ["ec2:CreateSecurityGroup"],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": ["ec2:CreateTags"],
      "Resource": "arn:aws:ec2:*:*:security-group/*",
      "Condition": {
        "StringEquals": {
          "ec2:CreateAction": "CreateSecurityGroup"
        },
        "Null": {
          "aws:RequestTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": ["ec2:CreateTags", "ec2:DeleteTags"],
      "Resource": "arn:aws:ec2:*:*:security-group/*",
      "Condition": {
        "Null": {
          "aws:RequestTag/elbv2.k8s.aws/cluster": "true",
          "aws:ResourceTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "ec2:AuthorizeSecurityGroupIngress",
        "ec2:RevokeSecurityGroupIngress",
        "ec2:DeleteSecurityGroup"
      ],
      "Resource": "*",
      "Condition": {
        "Null": {
          "aws:ResourceTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:CreateLoadBalancer",
        "elasticloadbalancing:CreateTargetGroup"
      ],
      "Resource": "*",
      "Condition": {
        "Null": {
          "aws:RequestTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:CreateListener",
        "elasticloadbalancing:DeleteListener",
        "elasticloadbalancing:CreateRule",
        "elasticloadbalancing:DeleteRule"
      ],
      "Resource": "*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:AddTags",
        "elasticloadbalancing:RemoveTags"
      ],
      "Resource": [
        "arn:aws:elasticloadbalancing:*:*:targetgroup/*/*",
        "arn:aws:elasticloadbalancing:*:*:loadbalancer/net/*/*",
        "arn:aws:elasticloadbalancing:*:*:loadbalancer/app/*/*"
      ],
      "Condition": {
        "Null": {
          "aws:RequestTag/elbv2.k8s.aws/cluster": "true",
          "aws:ResourceTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:AddTags",
        "elasticloadbalancing:RemoveTags"
      ],
      "Resource": [
        "arn:aws:elasticloadbalancing:*:*:listener/net/*/*/*",
        "arn:aws:elasticloadbalancing:*:*:listener/app/*/*/*",
        "arn:aws:elasticloadbalancing:*:*:listener-rule/net/*/*/*",
        "arn:aws:elasticloadbalancing:*:*:listener-rule/app/*/*/*"
      ]
    },
    {
      "Effect": "Allow",
      "Action": ["elasticloadbalancing:AddTags"],
      "Resource": [
        "arn:aws:elasticloadbalancing:*:*:targetgroup/*/*",
        "arn:aws:elasticloadbalancing:*:*:loadbalancer/net/*/*",
        "arn:aws:elasticloadbalancing:*:*:loadbalancer/app/*/*"
      ],
      "Condition": {
        "StringEquals": {
          "elasticloadbalancing:CreateAction": [
            "CreateTargetGroup",
            "CreateLoadBalancer"
          ]
        },
        "Null": {
          "aws:RequestTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:ModifyLoadBalancerAttributes",
        "elasticloadbalancing:SetIpAddressType",
        "elasticloadbalancing:SetSecurityGroups",
        "elasticloadbalancing:SetSubnets",
        "elasticloadbalancing:DeleteLoadBalancer",
        "elasticloadbalancing:ModifyTargetGroup",
        "elasticloadbalancing:ModifyTargetGroupAttributes",
        "elasticloadbalancing:DeleteTargetGroup"
      ],
      "Resource": "*",
      "Condition": {
        "Null": {
          "aws:ResourceTag/elbv2.k8s.aws/cluster": "false"
        }
      }
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:RegisterTargets",
        "elasticloadbalancing:DeregisterTargets"
      ],
      "Resource": "arn:aws:elasticloadbalancing:*:*:targetgroup/*/*"
    },
    {
      "Effect": "Allow",
      "Action": [
        "elasticloadbalancing:SetWebAcl",
        "elasticloadbalancing:ModifyListener",
        "elasticloadbalancing:AddListenerCertificates",
        "elasticloadbalancing:RemoveListenerCertificates",
        "elasticloadbalancing:ModifyRule"
      ],
      "Resource": "*"
    }
  ]
}

Second, create an IAM role and a service account.

eksctl create iamserviceaccount \
--cluster=eks-stack-eks-cluster \
--namespace=kube-system \
--name=aws-load-balancer-controller \
--attach-policy-arn=arn:aws:iam::891740084905:policy/AWSLoadBalancerControllerIAMPolicy \
--override-existing-serviceaccounts \
--region us-west-2 \
--approve

Third, add the helm chart.

helm repo add eks https://aws.github.io/eks-charts

Then install the controller using the above created service account.

helm install aws-load-balancer-controller eks/aws-load-balancer-controller \
-n kube-system \
--set clusterName=eks-stack-eks-cluster \
--set serviceAccount.create=false \
--set serviceAccount.name=aws-load-balancer-controller

Alternatively, install the controller without the IRSA. In this case, we do not need to create the service account above.

helm install aws-load-balancer-controller eks/aws-load-balancer-controller \
-n kube-system \
--set clusterName=eks-stack-eks-cluster

Let's describe the controller and service account.

kubectl describe sa aws-load-balancer-controller -n kube-system

Ingress Example#

In this example, by using the aws alb controller ingress, we can server multiple services using the same alb. First, let's create a simple service and ingress. For more details on the ingress annotation, please check here

apiVersion: apps/v1
kind: Deployment
metadata:
  name: cdk8s-deployment
  namespace: default
spec:
  replicas: 1
  selector:
    matchLabels:
      app: hello-cdk8s
  template:
    metadata:
      labels:
        app: hello-cdk8s
    spec:
      containers:
        - image: paulbouwer/hello-kubernetes:1.7
          name: hello-kubernetes
          ports:
            - containerPort: 8080
---
apiVersion: v1
kind: Service
metadata:
  name: cdk8s-service
  namespace: default
spec:
  ports:
    - port: 80
      targetPort: 8080
  selector:
    app: hello-cdk8s
  type: NodePort
---
apiVersion: v1
kind: Service
metadata:
  name: go-app-service
spec:
  ports:
    - port: 80
      targetPort: 3000
      name: http
  selector:
    app: go-app
  type: NodePort
---
apiVersion: apps/v1
kind: Deployment
metadata:
  name: go-app-deployment
spec:
  replicas: 1
  selector:
    matchLabels:
      app: go-app
  template:
    metadata:
      labels:
        app: go-app
    spec:
      containers:
        - image: 891740084905.dkr.ecr.us-west-2.amazonaws.com/go-app:latest
          name: go-app
          ports:
            - containerPort: 3000
          resources:
            limits:
              cpu: 100m
            requests:
              cpu: 100m
---
apiVersion: networking.k8s.io/v1
kind: Ingress
metadata:
  annotations:
    alb.ingress.kubernetes.io/scheme: internet-facing
    alb.ingress.kubernetes.io/subnets: subnet-0965ea75c851727c4, subnet-04ebc8a49c9a0a812, subnet-09276302ad70b570d
    alb.ingress.kubernetes.io/target-type: ip
    kubernetes.io/ingress.class: alb
  name: cdk8s-ingress
  namespace: default
spec:
  rules:
    - http:
        paths:
          - backend:
              service:
                name: cdk8s-service
                port:
                  number: 80
            path: /
            pathType: Prefix
          - backend:
              service:
                name: go-app-service
                port:
                  number: 80
            path: /go
            pathType: Prefix

Finally, describe the ingress.

kubectl describe ingress cdk8s-ingress -n default

Go Application#

Here is the golang application and build script.

Dockerfle

# syntax=docker/dockerfile:1

# Build the application from source
FROM golang:1.21.5 AS build-stage

WORKDIR /app

COPY go.mod go.sum ./
RUN go mod download

COPY *.go ./

RUN CGO_ENABLED=0 GOOS=linux go build -o /entest

# Run the tests in the container
FROM build-stage AS run-test-stage

# Deploy the application binary into a lean image
FROM gcr.io/distroless/base-debian11 AS build-release-stage

WORKDIR /

COPY --from=build-stage /entest /entest
COPY *.html ./
COPY static ./static

EXPOSE 3000

USER nonroot:nonroot

ENTRYPOINT ["/entest"]

build.py

import os

# parameters
REGION = "us-west-2"
ACCOUNT = os.popen("aws sts get-caller-identity | jq -r '.Account'").read().strip()


# delete all docker images
# os.system("sudo docker system prune -a")

# build go-app image
# os.system("sudo docker build -t go-app . ")

#  aws ecr login
os.system(f"aws ecr get-login-password --region {REGION} | sudo docker login --username AWS --password-stdin {ACCOUNT}.dkr.ecr.{REGION}.amazonaws.com")

# get image id
IMAGE_ID=os.popen("sudo docker images -q go-app:latest").read()

# tag go-app image
os.system(f"sudo docker tag {IMAGE_ID.strip()} {ACCOUNT}.dkr.ecr.{REGION}.amazonaws.com/go-app:latest")

# create ecr repository
os.system(f"aws ecr create-repository --registry-id {ACCOUNT} --repository-name go-app")

# push image to ecr
os.system(f"sudo docker push {ACCOUNT}.dkr.ecr.{REGION}.amazonaws.com/go-app:latest")

# run locally to test
# os.system(f"sudo docker run -d -p 3000:3000 go-app:latest")

main.go

package main

import (
	"net/http"
	"time"
)

func main()  {

	mux := http.NewServeMux()

	mux.HandleFunc("/", func(w http.ResponseWriter, r *http.Request) {
		http.ServeFile(w, r, "index.html")
	})

	server := &http.Server{
		Addr: ":3000",
		Handler: mux,
		ReadTimeout: 10 * time.Second,
		WriteTimeout: 10 * time.Second,
		MaxHeaderBytes: 1 << 20,
	}

	server.ListenAndServe()
}

index.html

<!DOCTYPE html>
<!-- entest 29 april 2023 basic tailwind -->
<html>
  <head>
    <meta charset="UTF-8" />
    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
    <link
      href="https://d2cvlmmg8c0xrp.cloudfront.net/web-css/review-book.css"
      rel="stylesheet"
    />
  </head>
  <body class="bg-gray-100">
    <div class="bg-green-400 py-3">
      <nav class="flex mx-auto max-w-5xl justify-between">
        <a href="#" class="font-bold text-2xl"> Entest </a>
        <ul class="hidden md:flex gap-x-3">
          <li
            class="bg-white hover:bg-green-600 hover:text-white px-3 py-1 rounded-sm"
          >
            <a href="https://cdk.entest.io/" target="_blank">About Me</a>
          </li>
        </ul>
      </nav>
    </div>
    <div
      class="bg-[url('https://d2cvlmmg8c0xrp.cloudfront.net/web-css/singapore.jpg')] bg-no-repeat bg-cover"
    >
      <div class="mx-auto max-w-5xl pt-20 pb-48 pr-48 mb-10 text-right">
        <h2 class="invisible md:visible text-3xl font-bold mb-8">
          Good Books about AWS Cloud Computing
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          <p>
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          <p></p>
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            Actionable Insights with Amazon QuickSight
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          <p>
            Amazon Quicksight is an exciting new visualization that rivals
            PowerBI and Tableau, bringing several exciting features to the table
            but sadly, there are not many resources out there that can help you
            learn the ropes. This book seeks to remedy that with the help of an
            AWS certified expert who will help you leverage its full
            capabilities. After learning QuickSight is fundamental concepts and
            how to configure data sources, you will be introduced to the main
            analysis-building functionality of QuickSight to develop visuals and
            dashboards, and explore how to develop and share interactive
            dashboards with parameters and on screen controls. You will dive
            into advanced filtering options with URL actions before learning how
            to set up alerts and scheduled reports.
          </p>
          <a
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          <h4 class="font-bold mb-8">Amazon Redshift Cookbook</h4>
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          <p>
            Amazon Redshift is a fully managed, petabyte-scale AWS cloud data
            warehousing service. It enables you to build new data warehouse
            workloads on AWS and migrate on-premises traditional data
            warehousing platforms to Redshift. This book on Amazon Redshift
            starts by focusing on Redshift architecture, showing you how to
            perform database administration tasks on Redshift.You will then
            learn how to optimize your data warehouse to quickly execute complex
            analytic queries against very large datasets. Because of the massive
            amount of data involved in data warehousing, designing your database
            for analytical processing lets you take full advantage of Redshifts
            columnar architecture and managed services.As you advance, you will
            discover how to deploy fully automated and highly scalable extract,
            transform, and load (ETL) processes, which help minimize the
            operational efforts that you have to invest in managing regular ETL
            pipelines and ensure the timely and accurate refreshing of your data
            warehouse. Finally, you will gain a clear understanding of Redshift
            use cases, data ingestion, data management, security, and scaling so
            that you can build a scalable data warehouse platform.
          </p>
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          <h4 class="font-bold mb-8">Automated Machine Learning on AWS</h4>
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          <p>
            Automated Machine Learning on AWS begins with a quick overview of
            what the machine learning pipeline/process looks like and highlights
            the typical challenges that you may face when building a pipeline.
            Throughout the book, you&#39;ll become well versed with various AWS
            solutions such as Amazon SageMaker Autopilot, AutoGluon, and AWS
            Step Functions to automate an end-to-end ML process with the help of
            hands-on examples. The book will show you how to build, monitor, and
            execute a CI/CD pipeline for the ML process and how the various
            CI/CD services within AWS can be applied to a use case with the
            Cloud Development Kit (CDK). You&#39;ll understand what a
            data-centric ML process is by working with the Amazon Managed
            Services for Apache Airflow and then build a managed Airflow
            environment. You&#39;ll also cover the key success criteria for an
            MLSDLC implementation and the process of creating a self-mutating
            CI/CD pipeline using AWS CDK from the perspective of the platform
            engineering team
          </p>
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          <h4 class="font-bold mb-8">Kubernetes Up and Running</h4>
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          <p>
            In just five years, Kubernetes has radically changed the way
            developers and ops personnel build, deploy, and maintain
            applications in the cloud. With this book is updated third edition,
            you will learn how this popular container orchestrator can help your
            company achieve new levels of velocity, agility, reliability, and
            efficiency whether you are new to distributed systems or have been
            deploying cloud native apps for some time.
          </p>
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          <h4 class="font-bold mb-8">Getting Started with Containerization</h4>
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          <p>
            Kubernetes is an open source orchestration platform for managing
            containers in a cluster environment. This Learning Path introduces
            you to the world of containerization, in addition to providing you
            with an overview of Docker fundamentals. As you progress, you will
            be able to understand how Kubernetes works with containers. Starting
            with creating Kubernetes clusters and running applications with
            proper authentication and authorization, you will learn how to
            create high- availability Kubernetes clusters on Amazon Web
            Services(AWS), and also learn how to use kubeconfig to manage
            different clusters.Whether it is learning about Docker containers
            and Docker Compose, or building a continuous delivery pipeline for
            your application, this Learning Path will equip you with all the
            right tools and techniques to get started with containerization.
          </p>
          <a
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          <h4 class="font-bold mb-8">Production Kubernetes</h4>
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          <p>
            Kubernetes has become the dominant container orchestrator, but many
            organizations that have recently adopted this system are still
            struggling to run actual production workloads. In this practical
            book, four software engineers from VMware bring their shared
            experiences running Kubernetes in production and provide insight on
            key challenges and best practices. The brilliance of Kubernetes is
            how configurable and extensible the system is, from pluggable
            runtimes to storage integrations. For platform engineers, software
            developers, infosec, network engineers, storage engineers, and
            others, this book examines how the path to success with Kubernetes
            involves a variety of technology, pattern, and abstraction
            considerations.
          </p>
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          <h4 class="font-bold mb-8">Practical Vim</h4>
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          <p>
            Vim is a fast and efficient text editor that will make you a faster
            and more efficient developer. It&#39;s available on almost every OS,
            and if you master the techniques in this book, you will never need
            another text editor. In more than 120 Vim tips, you will quickly
            learn the editor&#39;s core functionality and tackle your trickiest
            editing and writing tasks. This beloved bestseller has been revised
            and updated to Vim 8 and includes three brand-new tips and five
            fully revised tips.
          </p>
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          <p>
            CSS in Depth exposes you to a world of CSS techniques that range
            from clever to mind-blowing. This instantly useful book is packed
            with creative examples and powerful best practices that will sharpen
            your technical skills and inspire your sense of design.
          </p>
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          <p>
            TypeScript is a typed superset of JavaScript with the potential to
            solve many of the headaches for which JavaScript is famous. But
            TypeScript has a learning curve of its own, and understanding how to
            use it effectively can take time. This book guides you through 62
            specific ways to improve your use of TypeScript
          </p>
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            Unix and Linux System Administration Handbook
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          <p>
            UNIX and Linux System Administration Handbook, Fifth Edition, is
            today definitive guide to installing, configuring, and maintaining
            any UNIX or Linux system, including systems that supply core
            Internet and cloud infrastructure. Updated for new distributions and
            cloud environments, this comprehensive guide covers best practices
            for every facet of system administration, including storage
            management, network design and administration, security, web
            hosting, automation, configuration management, performance analysis,
            virtualization, DNS, security, and the management of IT service
            organizations. The authors―world-class, hands-on technologists―offer
            indispensable new coverage of cloud platforms, the DevOps
            philosophy, continuous deployment, containerization, monitoring, and
            many other essential topics.Whatever your role in running systems
            and networks built on UNIX or Linux, this conversational,
            well-written ¿guide will improve your efficiency and help solve your
            knottiest problems.
          </p>
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          <p>
            Computer Organization and Design, Fifth Edition, is the latest
            update to the classic introduction to computer organization. The
            text now contains new examples and material highlighting the
            emergence of mobile computing and the cloud. It explores this
            generational change with updated content featuring tablet computers,
            cloud infrastructure, and the ARM (mobile computing devices) and x86
            (cloud computing) architectures. The book uses a MIPS processor core
            to present the fundamentals of hardware technologies, assembly
            language, computer arithmetic, pipelining, memory hierarchies and
            I/Because an understanding of modern hardware is essential to
            achieving good performance and energy efficiency, this edition adds
            a new concrete example, Going Faster, used throughout the text to
            demonstrate extremely effective optimization techniques. There is
            also a new discussion of the Eight Great Ideas of computer
            architecture. Parallelism is examined in depth with examples and
            content highlighting parallel hardware and software topics. The book
            features the Intel Core i7, ARM Cortex A8 and NVIDIA Fermi GPU as
            real world examples, along with a full set of updated and improved
            exercises.
          </p>
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          <p>
            Database Systems: The Complete Book is ideal for Database Systems
            and Database Design and Application courses offered at the junior,
            senior and graduate levels in Computer Science departments. A basic
            understanding of algebraic expressions and laws, logic, basic data
            structure, OOP concepts, and programming environments is implied.
            Written by well-known computer scientists, this introduction to
            database systems offers a comprehensive approach, focusing on
            database design, database use, and implementation of database
            applications and database management systems.
          </p>
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