Overview
This document describes the high-availability deployment configuration methods for Nginx Ingress.
Increasing the Number of Replicas
Configure automatic scaling:
controller:
autoscaling:
enabled: true
minReplicas: 10
maxReplicas: 100
targetCPUUtilizationPercentage: 50
targetMemoryUtilizationPercentage: 50
behavior:
scaleUp:
stabilizationWindowSeconds: 300
policies:
- type: Percent
value: 900
periodSeconds: 15
scaleDown:
stabilizationWindowSeconds: 300
policies:
- type: Pods
value: 1
periodSeconds: 600
If you want a fixed number of replicas, directly configure replicaCount
:
controller:
replicaCount: 50
Spreading Scheduling
Use topology distribution constraints to spread out pods for disaster recovery and avoid single points of failure:
controller:
topologySpreadConstraints:
- labelSelector:
matchLabels:
app.kubernetes.io/name: '{{ include "ingress-nginx.name" . }}'
app.kubernetes.io/instance: '{{ .Release.Name }}'
app.kubernetes.io/component: controller
topologyKey: topology.kubernetes.io/zone
maxSkew: 1
whenUnsatisfiable: ScheduleAnyway
- labelSelector:
matchLabels:
app.kubernetes.io/name: '{{ include "ingress-nginx.name" . }}'
app.kubernetes.io/instance: '{{ .Release.Name }}'
app.kubernetes.io/component: controller
topologyKey: kubernetes.io/hostname
maxSkew: 1
whenUnsatisfiable: ScheduleAnyway
Scheduling to Dedicated Nodes
Typically, the load of Nginx Ingress Controller is proportional to the traffic. Considering its importance as a gateway, we recommend scheduling it to dedicated nodes or super nodes to avoid interfering with business pods or being interfered by them.
Schedule it to the specified node pool:
controller:
nodeSelector:
tke.cloud.tencent.com/nodepool-id: np-********
Note:
Super nodes perform better as all pods exclusively occupy the virtual machine without mutual interference. If you are using a serverless cluster, there is no need to configure the scheduling policy here, as it will only be scheduled to super nodes.
Setting Reasonable requests and limits
If Nginx Ingress is not scheduled to super nodes, set requests and limits reasonably to ensure sufficient resources while avoiding excessive resource usage that leads to high node load:
controller:
resources:
requests:
cpu: 500m
memory: 512Mi
limits:
cpu: 1000m
memory: 1Gi
If you are using super nodes or a serverless cluster, you need to define requests only, that is, declare the virtual machine specifications for each pod:
controller:
resources:
requests:
cpu: 1000m
memory: 2Gi
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