From c7b55c4b01fea90940cfa3057a14dbaa08894ad7 Mon Sep 17 00:00:00 2001
From: JoonHyeok Han <joonhyeok.han@gmail.com>
Date: Sun, 10 Nov 2024 16:05:17 +0900
Subject: [PATCH] docs: Publish argocd hpa with autoscaling strategies

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diff --git a/_posts/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies.md b/_posts/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies.md
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+---
+title: "[ArgoCD] 무중단 배포 전략과 함께 HPA 적용하기"
+date: 2024-11-10 15:50:00 +0900
+categories: [argocd]
+tags: []
+---
+
+# 개요
+
+Kubernetes의 HPA(Horizontal Pod Autoscaler) 객체를 활용하여 무중단 배포 전략(Rolling Update, Canary)을 설정하고, 오토스케일링을 구현하는 방법을 정리했다.
+
+# HPA 개념
+
+![1.png](/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/1.png)
+
+출처: [Was ist (Kubernetes) Autoscaling? VPA vs. HPA](https://www.kreyman.de/index.php/kubernetes/249-was-ist-kubernetes-autoscaling) [kreyman]
+
+HPA(Horizontal Pod Autoscaler)는 특정 파드에 부하가 발생했을 때 동일한 성능의 파드를 추가로 생성해 부하를 분산하는 Kubernetes 객체이다. CPU 사용률, 메모리 사용률 등을 기준으로 파드 생성(스케일 아웃)을 판단하며, 부하가 줄어들면 일정 시간 후 파드 수를 줄이는(스케일 인) 방식으로 작동한다.
+
+![2.png](/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/2.png)
+
+출처: [[Kubernetes] 쿠버네티스 HPA 개념과 구성 (HorizontalPodAutoscaler, 오토스케일러)](https://nirsa.tistory.com/187) [티스토리]
+
+HPA는 `metrics-server`에서 수집한 파드 메트릭을 바탕으로 추가할 파드 개수를 계산하여 오토스케일링을 수행한다.
+
+# metrics-server 설치
+
+![3.png](/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/3.png)
+
+출처: [Resource metrics pipeline](https://kubernetes.io/docs/tasks/debug/debug-cluster/resource-metrics-pipeline/) [kubernetes.io]
+
+HPA는 `metrics-server`가 수집한 메트릭 데이터를 활용해 오토 스케일링을 수행한다. `metrics-server`는 각 노드에서 실행되는 `kubelet` 에 있는 `cAdvisor` 를 통해 메트릭을 수집하고, Kubernetes API 서버에 전달한다. API 서버는 이 메트릭을 바탕으로 오토스케일링을 수행하거나, 사용자가 `kubectl top` 명령어로 메트릭을 조회할 수 있도록 한다.
+
+## cAdvisor
+
+![4.png](/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/4.png)
+
+출처: [Datadog](https://github.com/DataDog/the-monitor/blob/master/kubernetes/how-to-collect-and-graph-kubernetes-metrics.md) [github]
+
+cAdvisor는 Container Advisor의 약자로, 컨테이너의 리소스 사용량과 성능을 모니터링하는 데몬 프로그램이다. Kubernetes뿐만 아니라 Docker 환경에서도 사용할 수 있다. Kubernetes에서는 파드 안에서 컨테이너가 실행될 수 있도록 하는 `kubelet`에 `cAdvisor`가 함께 포함되어 있어 파드와 노드의 메트릭을 수집해 오토스케일링을 수행할 수 있도록 한다.
+
+## 설치 방법
+
+아래의 명령어로 `metrics-server` 를 설치한다.
+
+```bash
+kubectl apply -f https://github.com/kubernetes-sigs/metrics-server/releases/latest/download/components.yaml
+```
+
+이후, 다음 명령어로 설정을 수정한다.
+
+```bash
+kubectl edit deployments.apps -n kube-system metrics-server
+```
+
+`spec.template.spec.containers.args` 항목에 다음 옵션을 추가한다.
+
+```bash
+--kubelet-insecure-tls
+--kubelet-preferred-address-types=InternalIP, ExternalIP, Hostname
+```
+
+정상적으로 설치되었는지 아래 명령어로 확인한다.
+
+```bash
+kubectl top nodes
+#NAME              CPU(cores)   CPU%   MEMORY(bytes)   MEMORY%
+#k8s-master-node   557m         27%    2957Mi          77%
+```
+
+# yaml 파일 작성
+
+무중단 배포 전략에 따라 HPA 설정 방식이 달라진다.
+
+`Rolling Update` 전략에는 `Deployment` 객체를, `Canary` 및 `Blue/Green` 배포 전략에는 `Rollout` 객체를 사용하여 HPA를 설정한다. 아래는 Helm Chart 템플릿 파일을 작성하는 방법이다.
+
+## Rolling Update
+
+### 디렉토리 구조
+
+`Rolling Update` 전략에서는 `Deployment` 객체를 사용한다. 디렉토리 구조는 다음과 같다.
+
+```bash
+.
+├── demo-hpa-no-rollout
+│   ├── Chart.yaml
+│   ├── templates
+│   │   ├── deployment.yaml
+│   │   ├── hpa.yaml
+│   │   └── service.yaml
+│   └── values.yaml
+└── demo-hpa-no-rollout-application.yaml
+```
+
+### deployment.yaml
+
+```yaml
+apiVersion: apps/v1
+kind: Deployment
+metadata:
+  name: {{ .Values.app.name }}-deployment
+  labels:
+    app: {{ .Values.app.name }}
+  namespace: {{ .Release.Namespace | quote }}
+spec:
+# replicas: {{ .Values.app.replicas }} # HPA 사용하려면 제거해야함
+  selector:
+    matchLabels:
+      app: {{ .Values.app.name }}
+  template:
+    metadata:
+      {{- with .Values.podAnnotations }}
+      annotations:
+        {{- toYaml .Values.podAnnotations | nindent 8 }}
+      {{- end }}
+      labels:
+        app: {{ .Values.app.name }}
+        {{- with .Values.podLabels }}
+        {{- toYaml . | nindent 8 }}
+        {{- end }}
+    spec:
+      containers:
+      - image: {{ .Values.app.image }}
+        name: {{ .Values.app.name }}
+        {{- with .Values.app.resources }}
+        resources: # 반드시 있어야 함
+          {{- toYaml . | nindent 10 }}
+        {{- end }}
+        ports:
+          - name: http
+            protocol: TCP
+            containerPort: {{ .Value.app.port }}
+```
+
+### hpa.yaml
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: {{ .Values.app.name }}-hpa
+spec:
+  minReplicas: {{ .Values.app.minReplicas }}
+  maxReplicas: {{ .Values.app.maxReplicas }}
+  scaleTargetRef:
+    apiVersion: apps/v1
+    kind: Deployment
+    name: {{ .Values.app.name }}-deployment
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        averageUtilization: {{ .Values.app.averageUtilization }}
+        type: Utilization
+```
+
+- `spec.minReplicas`: 최소 파드 수
+- `spec.maxReplicas`: 최대 파드 수
+- `spec.scaleTargetRef`
+  - `apiVersion`: Deployment 에 해당하는 `apps/v1` 작성
+  - `kind`: `Deployment` 작성
+  - `name`: Deployment 객체의 metadata.name 에 해당하는 값 입력
+- `spec.replicas`: HPA 적용 시 제거해야 하며, 파드 개수는 HPA 가 관리한다.
+  - 참고자료: https://argo-cd.readthedocs.io/en/release-1.8/user-guide/best_practices/#leaving-room-for-imperativeness
+- `spec.template.spec.containers.resources`: HPA 는 메트릭을 기준으로 작동하기 때문에 `request` 와 `limit` 를 반드시 입력해야 한다.
+
+### service.yaml
+
+```yaml
+{{- if .Values.service.enabled }}
+apiVersion: v1
+kind: Service
+metadata:
+  labels:
+    app: {{ .Values.app.name }}
+  name: {{ .Values.app.name }}
+  namespace: {{ .Release.Namespace | quote }}
+spec:
+  ports:
+  - port: {{ .Values.service.port }}
+    protocol: TCP
+    name: http
+    targetPort: {{ .Values.app.port }}
+  selector:
+    app: {{ .Values.app.name }}
+{{- end }}
+```
+
+### demo-hpa-no-rollout-application.yaml
+
+```yaml
+apiVersion: argoproj.io/v1alpha1
+kind: Application
+metadata:
+  name: demo-hpa-no-rollout
+  namespace: argocd
+spec:
+  project: default
+  source:
+    path: demo-hpa-no-rollout
+    repoURL: https://github.com/[org]/[repository]
+    targetRevision: HEAD
+    helm:
+      valueFiles:
+        - values.yaml
+  destination:
+    server: https://kubernetes.default.svc
+    namespace: default
+  syncPolicy:
+    automated: {}
+```
+
+### values.yaml
+
+```yaml
+app:
+  name: "demo-hpa-no-rollout"
+  image: "argoproj/rollouts-demo:blue"
+  port: 80
+  minReplicas: 1
+  maxReplicas: 4
+  averageUtilization: 30
+  resources:
+    requests:
+      cpu: "200m"
+      memory: "128Mi"
+    limits:
+      cpu: "500m"
+      memory: "128Mi"
+
+podAnnotations: {}
+podLabels:
+  tier: backend
+
+service:
+  enabled: true
+  port: 80
+```
+
+## Canary 전략
+
+Blue/Green 전략도 Canary와 설정하는 방법은 비슷하기 때문에 생략했다.
+
+### 디렉토리 구조
+
+`Canary` 전략에서는 `Deployment` 객체 대신 `Rollout` 객체를 사용한다. 디렉토리 구조는 다음과 같다.
+
+```bash
+.
+├── demo-hpa-with-rollout
+│   ├── Chart.yaml
+│   ├── templates
+│   │   ├── hpa.yaml
+│   │   ├── rollout.yaml
+│   │   └── service.yaml
+│   └── values.yaml
+└── demo-hpa-with-rollout-application.yaml
+```
+
+### hpa.yaml
+
+```yaml
+apiVersion: autoscaling/v2
+kind: HorizontalPodAutoscaler
+metadata:
+  name: {{ .Values.app.name }}-hpa
+spec:
+  minReplicas: {{ .Values.app.minReplicas }}
+  maxReplicas: {{ .Values.app.maxReplicas }}
+  scaleTargetRef:
+    apiVersion: argoproj.io/v1alpha1
+    kind: Rollout
+    name: {{ .Values.app.name }}-rollout
+  metrics:
+  - type: Resource
+    resource:
+      name: cpu
+      target:
+        averageUtilization: {{ .Values.app.averageUtilization }}
+        type: Utilization
+```
+
+- `spec.scaleTargetRef`
+  - `apiVersion`: Rollout 에 해당하는 `argoproj.io/v1alpha1` 작성
+  - `kind`: `Rollout` 작성
+  - `name`: Rollout 객체의 `metadata.name` 에 해당하는 값 입력
+
+### rollout.yaml
+
+```yaml
+apiVersion: argoproj.io/v1alpha1
+kind: Rollout
+metadata:
+  name: {{ .Values.app.name }}-rollout
+  labels:
+    app: {{ .Values.app.name }}
+    chart: "{{ .Chart.Name }}-{{ .Chart.Version }}"
+    release: {{ .Release.Name }}
+    heritage: {{ .Release.Service }}
+spec:
+# replicas: {{ .Values.app.replicas }} # HPA 사용하려면 제거해야함
+  revisionHistoryLimit: 3
+  selector:
+    matchLabels:
+      app: {{ .Values.app.name }}
+      release: {{ .Release.Name }}
+  strategy:
+    canary:
+      canaryService: {{ .Values.app.name }}-canary
+      stableService: {{ .Values.app.name }}-stable
+      steps:
+        - setWeight: 20
+        - pause: {duration: 2s}
+        - setWeight: 40
+        - pause: {duration: 2s}
+        - setWeight: 60
+        - pause: {duration: 2s}
+        - setWeight: 80
+        - pause: {duration: 2s}
+  template:
+    metadata:
+      {{- with .Values.podAnnotations }}
+      annotations:
+        {{- toYaml .Values.podAnnotations | nindent 8 }}
+      {{- end }}
+      labels:
+        app: {{ .Values.app.name }}
+        {{- with .Values.podLabels }}
+        {{- toYaml . | nindent 8 }}
+        {{- end }}
+        release: {{ .Release.Name }}
+    spec:
+      containers:
+        - name: {{ .Chart.Name }}
+          image: {{ .Values.app.image }}
+          {{- with .Values.app.resources }}
+          resources: # 반드시 입력
+            {{- toYaml . | nindent 12 }}
+          {{- end }}
+          ports:
+            - name: http
+              containerPort: {{ .Values.app.port }}
+              protocol: TCP
+```
+
+- `spec.replicas`: 마찬가지로 HPA 를 적용하려면 해당 속성을 사용하지 않아야 한다.
+- `spec.template.spec.containers.resources`: 마찬가지로 request 와 limit 를 반드시 입력해주어야 한다.
+
+### service.yaml
+
+```yaml
+{{- if .Values.service.enabled }}
+apiVersion: v1
+kind: Service
+metadata:
+  labels:
+    app: {{ .Values.app.name }}
+  name: {{ .Values.app.name }}-canary
+  namespace: {{ .Release.Namespace | quote }}
+spec:
+  ports:
+  - port: {{ .Values.service.port }}
+    protocol: TCP
+    name: http
+    targetPort: {{ .Values.app.port }}
+  selector:
+    app: {{ .Values.app.name }}
+---
+apiVersion: v1
+kind: Service
+metadata:
+  labels:
+    app: {{ .Values.app.name }}
+  name: {{ .Values.app.name }}-stable
+  namespace: {{ .Release.Namespace | quote }}
+spec:
+  ports:
+  - port: {{ .Values.service.port }}
+    protocol: TCP
+    name: http
+    targetPort: {{ .Values.app.port }}
+  type: NodePort
+  selector:
+    app: {{ .Values.app.name }}
+{{- end }}
+```
+
+### values.yaml
+
+```yaml
+app:
+  name: "demo-hpa-with-rollout"
+  image: "argoproj/rollouts-demo:blue"
+  port: 80
+  minReplicas: 1
+  maxReplicas: 4
+  averageUtilization: 30
+  resources:
+    requests:
+      cpu: "200m"
+      memory: "128Mi"
+    limits:
+      cpu: "500m"
+      memory: "128Mi"
+
+podAnnotations: {}
+podLabels:
+  tier: backend
+
+service:
+  enabled: true
+  port: 80
+```
+
+### demo-hpa-with-rollout-application.yaml
+
+```yaml
+apiVersion: argoproj.io/v1alpha1
+kind: Application
+metadata:
+  name: demo-hpa-with-rollout
+  namespace: argocd
+spec:
+  project: default
+  source:
+    path: demo-hpa-with-rollout
+    repoURL: https://github.com/[org]/[repository]
+    targetRevision: HEAD
+    helm:
+      valueFiles:
+        - values.yaml
+  destination:
+    server: https://kubernetes.default.svc
+    namespace: default
+  syncPolicy:
+    automated: {}
+```
+
+# 부하 테스트
+
+Helm Chart를 이용해 애플리케이션을 배포하고, HPA가 작동하는지 확인하기 위해 부하를 발생시킨다. 서비스 도메인으로 다음 명령어를 실행한다.
+
+```bash
+kubectl run -i --tty load-generator \
+--rm \
+--image=busybox:1.28 \
+--restart=Never \
+-- /bin/sh -c "while sleep 0.01; do wget -q -O- http://[service-name].[namespace].svc; done"
+```
+
+부하가 발생하고 나서 `kubectl top pod` 명령어를 실행해 파드가 자동으로 생성된 것을 확인한다. (초기 파드 개수 1개, 최대 파드 개수 4개)
+
+```bash
+kubectl top pod
+#NAME                                CPU(cores)   MEMORY(bytes)
+#demo-hpa-rollout-7449969d75-7jdgl   151m         17Mi
+#demo-hpa-rollout-7449969d75-db4vg   174m         19Mi
+#demo-hpa-rollout-7449969d75-dnvt2   142m         11Mi
+#demo-hpa-rollout-7449969d75-xvrns   143m         11Mi
+#load-generator                      24m          1Mi
+```
diff --git a/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/1.png b/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/1.png
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diff --git a/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/3.png b/assets/images/2024/2024-11-10-argocd-hpa-with-autoscaling-strategies/3.png
new file mode 100644
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