Added fluentd values for helm chart version 2.3.2 to push logs to elastic search and aws s3 bucket

fluentd-es-s3-values-2.3.2.yaml

# Default values for fluentd.
# This is a YAML-formatted file.
# Declare variables to be passed into your templates.
replicaCount: 3
image:
  repository: gcr.io/google-containers/fluentd-elasticsearch
  tag: v2.4.0
  pullPolicy: IfNotPresent
  # pullSecrets:
  #   - secret1
  #   - secret2

output:
  host: <elasticsearch-client>.<namespace>
  port: 9200
  scheme: http
  sslVersion: TLSv1
  buffer_chunk_limit: 2M
  buffer_queue_limit: 8

env: {}

# Extra Environment Values - allows yaml definitions
extraEnvVars:
#  - name: VALUE_FROM_SECRET
#    valueFrom:
#      secretKeyRef:
#        name: secret_name
#        key: secret_key

# extraVolumes:
#   - name: es-certs
#     secret:
#       defaultMode: 420
#       secretName: es-certs
# extraVolumeMounts:
#   - name: es-certs
#     mountPath: /certs
#     readOnly: true

plugins:
  enabled: true
  pluginsList: 
    - fluent-plugin-s3
    - fluent-plugin-rewrite-tag-filter

service:
  annotations: {}
  type: ClusterIP
  # loadBalancerIP:
  # type: NodePort
  # nodePort:
  # Used to create Service records
  ports:
    - name: "monitor-agent"
      protocol: TCP
      containerPort: 24220
    - name: "forward"  
      protocol: TCP
      containerPort: 24224

metrics:
  enabled: false
  service:
    port: 24231
  serviceMonitor:
    enabled: false
    additionalLabels: {}
    # namespace: monitoring
    # interval: 30s
    # scrapeTimeout: 10s

annotations: {}
#  prometheus.io/scrape: "true"
#  prometheus.io/port: "24231"

ingress:
  enabled: false
  annotations:
    kubernetes.io/ingress.class: nginx
#    kubernetes.io/tls-acme: "true"
#    # Depending on which version of ingress controller you may need to configure properly - https://kubernetes.github.io/ingress-nginx/examples/rewrite/#rewrite-target
#    nginx.ingress.kubernetes.io/rewrite-target: /
  labels: []
  # If doing TCP or UDP ingress rule don't forget to update your Ingress Controller to accept TCP connections - https://kubernetes.github.io/ingress-nginx/user-guide/exposing-tcp-udp-services/
  hosts:
#     - name: "http-input.local"
#       protocol: TCP
#       servicePort: 9880
#       path: /
  tls: {}
  # Secrets must be manually created in the namespace.
#    - secretName: http-input-tls
#      hosts:
#        - http-input.local

configMaps:
  general.conf: |
    # Prevent fluentd from handling records containing its own logs. Otherwise
    # it can lead to an infinite loop, when error in sending one message generates
    # another message which also fails to be sent and so on.
    <match fluentd.**>
      @type null
    </match>

    # Used for health checking
    <source>
      @type http
      port 9880
      bind 0.0.0.0
    </source>

    # Emits internal metrics to every minute, and also exposes them on port
    # 24220. Useful for determining if an output plugin is retryring/erroring,
    # or determining the buffer queue length.
    <source>
      @type monitor_agent
      bind 0.0.0.0
      port 24220
      tag fluentd.monitor.metrics
    </source>
  system.conf: |-
    <system>
      root_dir /tmp/fluentd-buffers/
    </system>
  forward-input.conf: |
    <source>
      @type forward
      port 24224
      bind 0.0.0.0
    </source>
  output.conf: |
    <filter kube.**>
       @type record_transformer
       enable_ruby
       <record>
         kubernetes_tag ${"%s" % [record["kubernetes"]["labels"]["app"] || record["kubernetes"]["labels"]["k8s-app"] || record["kubernetes"]["labels"]["name"] || "unspecified-app-label"]}
       </record>
    </filter>
    <match kube.**>
       @type rewrite_tag_filter
       <rule>
         key     kubernetes_tag
         pattern ^(.+)$
         tag     $1
       </rule>
    </match>
    <match **>
       @type s3
       s3_bucket <k8s-logs-bucket>
       s3_region <ap-southeast-1>
       s3_object_key_format "${tag}/%{time_slice}-events_%{index}.%{file_extension}"
       time_slice_format %Y/%m/%d/%H
       time_slice_wait 10m
       path test-logs
       # if you want to use ${tag} or %Y/%m/%d/ like syntax in path / s3_object_key_format,
       # need to specify tag for ${tag} and time for %Y/%m/%d in <buffer> argument.
       <buffer tag,time>
         @type file
         flush_mode interval
         flush_interval 30s
         path /var/log/fluent/s3
         timekey 300 # 1 hour partition
         timekey_wait 1m
         timekey_use_utc true # use utc
         chunk_limit_size 100m
       </buffer>
       <format>
         @type json
       </format>
    </match>
    
resources: 
  limits:
    cpu: 500m
    memory: 512Mi
  requests:
    cpu: 500m
    memory: 512Mi  
  # We usually recommend not to specify default resources and to leave this as a conscious
  # choice for the user. This also increases chances charts run on environments with little
  # resources, such as Minikube. If you do want to specify resources, uncomment the following
  # lines, adjust them as necessary, and remove the curly braces after 'resources:'.
  # limits:
  #  cpu: 500m
  #  memory: 200Mi
  # requests:
  #  cpu: 500m
  #  memory: 200Mi

rbac:
  # Specifies whether RBAC resources should be created
  create: true

serviceAccount:
  # Specifies whether a ServiceAccount should be created
  create: true
  # The name of the ServiceAccount to use.
  # If not set and create is true, a name is generated using the fullname template
  name:

## Persist data to a persistent volume
persistence:
  enabled: false

  ## If defined, storageClassName: <storageClass>
  ## If set to "-", storageClassName: "", which disables dynamic provisioning
  ## If undefined (the default) or set to null, no storageClassName spec is
  ##   set, choosing the default provisioner.  (gp2 on AWS, standard on
  ##   GKE, AWS & OpenStack)
  ##
  # storageClass: "-"
  # annotations: {}
  accessMode: ReadWriteOnce
  size: 10Gi

nodeSelector: {}

tolerations: []

affinity: {}

# Enable autoscaling using HorizontalPodAutoscaler
autoscaling:
  enabled: false
  minReplicas: 2
  maxReplicas: 5
  metrics:
    - type: Resource
      resource:
        name: cpu
        target:
          type: Utilization
          averageUtilization: 90
    - type: Resource
      resource:
        name: memory
        target:
          type: Utilization
          averageUtilization: 80

# Consider to set higher value when using in conjuction with autoscaling
# Full description about this field: https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.15/#pod-v1-core
terminationGracePeriodSeconds: 30