Logstash cannot connect to Elasticsearch on kubernetes

skander_khalfet · March 23, 2022, 6:44pm

Hi everyone, i'm having trouble concerning Logstash.

So i installed ELK stack on kubernetes using helm. every pod is is running and ready. Elasticsearch and kibana are perfectly fine. the problem is with logstash as you can see he cannot identify Elasticsearch to establish connection.

as you can see everything is running and fine.
Capture4

thanks for taking your time to read

stephenb · March 28, 2022, 12:19am

Hi @skander_khalfet Welcome to the community!

First, please don't paste images. They are impossible to search. Very hard to read and are much more difficult for folks to help debug. Please paste text and format it with the format button above </>

2nd usually for us to help, You have to show us your configs.
What's your elasticsearcht config and logstash config.

3rd The error says lagstash cannot find the Elasticsearch service.

What is the output of

kubectl get services -n elk

skander_khalfet · March 28, 2022, 1:03pm

hi @stephenb thank you for your response. i'm sorry for the images i'm new to posting here i'll try to fix it in the future.
i installed Elasticsearch and logsatsh normally from helm.
this is Elasticsearch config :

---
clusterName: "elasticsearch"
nodeGroup: "master"

# The service that non master groups will try to connect to when joining the cluster
# This should be set to clusterName + "-" + nodeGroup for your master group
masterService: ""

# Elasticsearch roles that will be applied to this nodeGroup
# These will be set as environment variables. E.g. node.roles=master
# https://www.elastic.co/guide/en/elasticsearch/reference/current/modules-node.html#node-roles
roles:
  - master
  - data
  - data_content
  - data_hot
  - data_warm
  - data_cold
  - ingest
  - ml
  - remote_cluster_client
  - transform

replicas: 3
minimumMasterNodes: 2

esMajorVersion: ""

# Allows you to add any config files in /usr/share/elasticsearch/config/
# such as elasticsearch.yml and log4j2.properties
esConfig: {}
#  elasticsearch.yml: |
#    key:
#      nestedkey: value
#  log4j2.properties: |
#    key = value

createCert: true

esJvmOptions: {}
#  processors.options: |
#    -XX:ActiveProcessorCount=3

# Extra environment variables to append to this nodeGroup
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
#  - name: MY_ENVIRONMENT_VAR
#    value: the_value_goes_here

# Allows you to load environment variables from kubernetes secret or config map
envFrom: []
# - secretRef:
#     name: env-secret
# - configMapRef:
#     name: config-map

# Disable it to use your own elastic-credential Secret.
secret:
  enabled: true
  password: "" # generated randomly if not defined

# A list of secrets and their paths to mount inside the pod
# This is useful for mounting certificates for security and for mounting
# the X-Pack license
secretMounts: []
#  - name: elastic-certificates
#    secretName: elastic-certificates
#    path: /usr/share/elasticsearch/config/certs
#    defaultMode: 0755

hostAliases: []
#- ip: "127.0.0.1"
#  hostnames:
#  - "foo.local"
#  - "bar.local"

image: "docker.elastic.co/elasticsearch/elasticsearch"
imageTag: "8.1.0"
imagePullPolicy: "IfNotPresent"

podAnnotations: {}
# iam.amazonaws.com/role: es-cluster

# additionals labels
labels: {}

esJavaOpts: "" # example: "-Xmx1g -Xms1g"

resources:
  requests:
    cpu: "1000m"
    memory: "2Gi"
  limits:
    cpu: "1000m"
    memory: "2Gi"

initResources: {}
# limits:
#   cpu: "25m"
#   # memory: "128Mi"
# requests:
#   cpu: "25m"
#   memory: "128Mi"

networkHost: "0.0.0.0"

volumeClaimTemplate:
  accessModes: ["ReadWriteOnce"]
  resources:
    requests:
      storage: 30Gi

rbac:
  create: false
  serviceAccountAnnotations: {}
  serviceAccountName: ""
  automountToken: true

podSecurityPolicy:
  create: false
  name: ""
  spec:
    privileged: true
    fsGroup:
      rule: RunAsAny
    runAsUser:
      rule: RunAsAny
    seLinux:
      rule: RunAsAny
    supplementalGroups:
      rule: RunAsAny
    volumes:
      - secret
      - configMap
      - persistentVolumeClaim
      - emptyDir

persistence:
  enabled: true
  labels:
    # Add default labels for the volumeClaimTemplate of the StatefulSet
    enabled: false
  annotations: {}

extraVolumes: []
# - name: extras
#   emptyDir: {}

extraVolumeMounts: []
# - name: extras
#   mountPath: /usr/share/extras
#   readOnly: true

extraContainers: []
# - name: do-something
#   image: busybox
#   command: ['do', 'something']

extraInitContainers: []
# - name: do-something
#   image: busybox
#   command: ['do', 'something']

# This is the PriorityClass settings as defined in
# https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""

# By default this will make sure two pods don't end up on the same node
# Changing this to a region would allow you to spread pods across regions
antiAffinityTopologyKey: "kubernetes.io/hostname"

# Hard means that by default pods will only be scheduled if there are enough nodes for them
# and that they will never end up on the same node. Setting this to soft will do this "best effort"
antiAffinity: "hard"

# This is the node affinity settings as defined in
# https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#node-affinity-beta-feature
nodeAffinity: {}

# The default is to deploy all pods serially. By setting this to parallel all pods are started at
# the same time when bootstrapping the cluster
podManagementPolicy: "Parallel"

# The environment variables injected by service links are not used, but can lead to slow Elasticsearch boot times when
# there are many services in the current namespace.
# If you experience slow pod startups you probably want to set this to `false`.
enableServiceLinks: true

protocol: https
httpPort: 9200
transportPort: 9300

service:
  enabled: true
  labels: {}
  labelsHeadless: {}
  type: ClusterIP
  # Consider that all endpoints are considered "ready" even if the Pods themselves are not
  # https://kubernetes.io/docs/reference/kubernetes-api/service-resources/service-v1/#ServiceSpec
  publishNotReadyAddresses: false
  nodePort: ""
  annotations: {}
  httpPortName: http
  transportPortName: transport
  loadBalancerIP: ""
  loadBalancerSourceRanges: []
  externalTrafficPolicy: ""

updateStrategy: RollingUpdate

# This is the max unavailable setting for the pod disruption budget
# The default value of 1 will make sure that kubernetes won't allow more than 1
# of your pods to be unavailable during maintenance
maxUnavailable: 1

podSecurityContext:
  fsGroup: 1000
  runAsUser: 1000

securityContext:
  capabilities:
    drop:
      - ALL
  # readOnlyRootFilesystem: true
  runAsNonRoot: true
  runAsUser: 1000

# How long to wait for elasticsearch to stop gracefully
terminationGracePeriod: 120

sysctlVmMaxMapCount: 262144

readinessProbe:
  failureThreshold: 3
  initialDelaySeconds: 10
  periodSeconds: 10
  successThreshold: 3
  timeoutSeconds: 5

# https://www.elastic.co/guide/en/elasticsearch/reference/current/cluster-health.html#request-params wait_for_status
clusterHealthCheckParams: "wait_for_status=green&timeout=1s"

## Use an alternate scheduler.
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""

imagePullSecrets: []
nodeSelector: {}
tolerations: []

# Enabling this will publicly expose your Elasticsearch instance.
# Only enable this if you have security enabled on your cluster
ingress:
  enabled: false
  annotations: {}
  # kubernetes.io/ingress.class: nginx
  # kubernetes.io/tls-acme: "true"
  className: "nginx"
  pathtype: ImplementationSpecific
  hosts:
    - host: chart-example.local
      paths:
        - path: /
  tls: []
  #  - secretName: chart-example-tls
  #    hosts:
  #      - chart-example.local

nameOverride: ""
fullnameOverride: ""
healthNameOverride: ""

lifecycle: {}
# preStop:
#   exec:
#     command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
# postStart:
#   exec:
#     command:
#       - bash
#       - -c
#       - |
#         #!/bin/bash
#         # Add a template to adjust number of shards/replicas
#         TEMPLATE_NAME=my_template
#         INDEX_PATTERN="logstash-*"
#         SHARD_COUNT=8
#         REPLICA_COUNT=1
#         ES_URL=http://localhost:9200
#         while [[ "$(curl -s -o /dev/null -w '%{http_code}\n' $ES_URL)" != "200" ]]; do sleep 1; done
#         curl -XPUT "$ES_URL/_template/$TEMPLATE_NAME" -H 'Content-Type: application/json' -d'{"index_patterns":['\""$INDEX_PATTERN"\"'],"settings":{"number_of_shards":'$SHARD_COUNT',"number_of_replicas":'$REPLICA_COUNT'}}'

sysctlInitContainer:
  enabled: true

keystore: []

networkPolicy:
  ## Enable creation of NetworkPolicy resources. Only Ingress traffic is filtered for now.
  ## In order for a Pod to access Elasticsearch, it needs to have the following label:
  ## {{ template "uname" . }}-client: "true"
  ## Example for default configuration to access HTTP port:
  ## elasticsearch-master-http-client: "true"
  ## Example for default configuration to access transport port:
  ## elasticsearch-master-transport-client: "true"

  http:
    enabled: false
    ## if explicitNamespacesSelector is not set or set to {}, only client Pods being in the networkPolicy's namespace
    ## and matching all criteria can reach the DB.
    ## But sometimes, we want the Pods to be accessible to clients from other namespaces, in this case, we can use this
    ## parameter to select these namespaces
    ##
    # explicitNamespacesSelector:
    #   # Accept from namespaces with all those different rules (only from whitelisted Pods)
    #   matchLabels:
    #     role: frontend
    #   matchExpressions:
    #     - {key: role, operator: In, values: [frontend]}

    ## Additional NetworkPolicy Ingress "from" rules to set. Note that all rules are OR-ed.
    ##
    # additionalRules:
    #   - podSelector:
    #       matchLabels:
    #         role: frontend
    #   - podSelector:
    #       matchExpressions:
    #         - key: role
    #           operator: In
    #           values:
    #             - frontend

  transport:
    ## Note that all Elasticsearch Pods can talk to themselves using transport port even if enabled.
    enabled: false
    # explicitNamespacesSelector:
    #   matchLabels:
    #     role: frontend
    #   matchExpressions:
    #     - {key: role, operator: In, values: [frontend]}
    # additionalRules:
    #   - podSelector:
    #       matchLabels:
    #         role: frontend
    #   - podSelector:
    #       matchExpressions:
    #         - key: role
    #           operator: In
    #           values:
    #             - frontend

tests:
  enabled: true

# Deprecated
# please use the above podSecurityContext.fsGroup instead
fsGroup: ""

and this is logstash config :

---
replicas: 1

# Allows you to add any config files in /usr/share/logstash/config/
# such as logstash.yml and log4j2.properties
#
# Note that when overriding logstash.yml, `http.host: 0.0.0.0` should always be included
# to make default probes work.
logstashConfig: {}
#  logstash.yml: |
#    key:
#      nestedkey: value
#  log4j2.properties: |
#    key = value

# Allows you to add any pipeline files in /usr/share/logstash/pipeline/
### ***warn*** there is a hardcoded logstash.conf in the image, override it first
logstashPipeline: {}
#  logstash.conf: |
#    input {
#      exec {
#        command => "uptime"
#        interval => 30
#      }
#    }
#    output { stdout { } }

# Allows you to add any pattern files in your custom pattern dir
logstashPatternDir: "/usr/share/logstash/patterns/"
logstashPattern: {}
#    pattern.conf: |
#      DPKG_VERSION [-+~<>\.0-9a-zA-Z]+

# Extra environment variables to append to this nodeGroup
# This will be appended to the current 'env:' key. You can use any of the kubernetes env
# syntax here
extraEnvs: []
#  - name: MY_ENVIRONMENT_VAR
#    value: the_value_goes_here

# Allows you to load environment variables from kubernetes secret or config map
envFrom: []
# - secretRef:
#     name: env-secret
# - configMapRef:
#     name: config-map

# Add sensitive data to k8s secrets
secrets: []
#  - name: "env"
#    value:
#      ELASTICSEARCH_PASSWORD: "LS1CRUdJTiBgUFJJVkFURSB"
#      api_key: ui2CsdUadTiBasRJRkl9tvNnw
#  - name: "tls"
#    value:
#      ca.crt: |
#        LS0tLS1CRUdJT0K
#        LS0tLS1CRUdJT0K
#        LS0tLS1CRUdJT0K
#        LS0tLS1CRUdJT0K
#      cert.crt: "LS0tLS1CRUdJTiBlRJRklDQVRFLS0tLS0K"
#      cert.key.filepath: "secrets.crt" # The path to file should be relative to the `values.yaml` file.

# A list of secrets and their paths to mount inside the pod
secretMounts: []

hostAliases: []
#- ip: "127.0.0.1"
#  hostnames:
#  - "foo.local"
#  - "bar.local"

image: "docker.elastic.co/logstash/logstash"
imageTag: "8.1.0"
imagePullPolicy: "IfNotPresent"
imagePullSecrets: []

podAnnotations: {}

# additionals labels
labels: {}

logstashJavaOpts: "-Xmx1g -Xms1g"

resources:
  requests:
    cpu: "100m"
    memory: "1536Mi"
  limits:
    cpu: "1000m"
    memory: "1536Mi"

volumeClaimTemplate:
  accessModes: ["ReadWriteOnce"]
  resources:
    requests:
      storage: 1Gi

rbac:
  create: false
  serviceAccountAnnotations: {}
  serviceAccountName: ""
  annotations:
    {}
    #annotation1: "value1"
    #annotation2: "value2"
    #annotation3: "value3"

podSecurityPolicy:
  create: false
  name: ""
  spec:
    privileged: false
    fsGroup:
      rule: RunAsAny
    runAsUser:
      rule: RunAsAny
    seLinux:
      rule: RunAsAny
    supplementalGroups:
      rule: RunAsAny
    volumes:
      - secret
      - configMap
      - persistentVolumeClaim

persistence:
  enabled: false
  annotations: {}

extraVolumes:
  []
  # - name: extras
  #   emptyDir: {}

extraVolumeMounts:
  []
  # - name: extras
  #   mountPath: /usr/share/extras
  #   readOnly: true

extraContainers:
  []
  # - name: do-something
  #   image: busybox
  #   command: ['do', 'something']

extraInitContainers:
  []
  # - name: do-something
  #   image: busybox
  #   command: ['do', 'something']

# This is the PriorityClass settings as defined in
# https://kubernetes.io/docs/concepts/configuration/pod-priority-preemption/#priorityclass
priorityClassName: ""

# By default this will make sure two pods don't end up on the same node
# Changing this to a region would allow you to spread pods across regions
antiAffinityTopologyKey: "kubernetes.io/hostname"

# Hard means that by default pods will only be scheduled if there are enough nodes for them
# and that they will never end up on the same node. Setting this to soft will do this "best effort"
antiAffinity: "hard"

# This is the node affinity settings as defined in
# https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#node-affinity
nodeAffinity: {}

# This is inter-pod affinity settings as defined in
# https://kubernetes.io/docs/concepts/scheduling-eviction/assign-pod-node/#inter-pod-affinity-and-anti-affinity
podAffinity: {}

# The default is to deploy all pods serially. By setting this to parallel all pods are started at
# the same time when bootstrapping the cluster
podManagementPolicy: "Parallel"

httpPort: 9600

# Custom ports to add to logstash
extraPorts:
  []
  # - name: beats
  #   containerPort: 5001

updateStrategy: RollingUpdate

# This is the max unavailable setting for the pod disruption budget
# The default value of 1 will make sure that kubernetes won't allow more than 1
# of your pods to be unavailable during maintenance
maxUnavailable: 1

podSecurityContext:
  fsGroup: 1000
  runAsUser: 1000

securityContext:
  capabilities:
    drop:
      - ALL
  # readOnlyRootFilesystem: true
  runAsNonRoot: true
  runAsUser: 1000

# How long to wait for logstash to stop gracefully
terminationGracePeriod: 120

# Probes
# Default probes are using `httpGet` which requires that `http.host: 0.0.0.0` is part of
# `logstash.yml`. If needed probes can be disabled or overridden using the following syntaxes:
#
# disable livenessProbe
# livenessProbe: null
#
# replace httpGet default readinessProbe by some exec probe
# readinessProbe:
#   httpGet: null
#   exec:
#     command:
#       - curl
#      - localhost:9600

livenessProbe:
  httpGet:
    path: /
    port: http
  initialDelaySeconds: 300
  periodSeconds: 10
  timeoutSeconds: 5
  failureThreshold: 3
  successThreshold: 1

readinessProbe:
  httpGet:
    path: /
    port: http
  initialDelaySeconds: 60
  periodSeconds: 10
  timeoutSeconds: 5
  failureThreshold: 3
  successThreshold: 3

## Use an alternate scheduler.
## ref: https://kubernetes.io/docs/tasks/administer-cluster/configure-multiple-schedulers/
##
schedulerName: ""

nodeSelector: {}
tolerations: []

nameOverride: ""
fullnameOverride: ""

lifecycle:
  {}
  # preStop:
  #   exec:
  #     command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]
  # postStart:
  #   exec:
  #     command: ["/bin/sh", "-c", "echo Hello from the postStart handler > /usr/share/message"]

service:
  {}
  # annotations: {}
  # type: ClusterIP
  # loadBalancerIP: ""
  # ports:
  #   - name: beats
  #     port: 5044
  #     protocol: TCP
  #     targetPort: 5044
  #   - name: http
  #     port: 8080
  #     protocol: TCP
  #     targetPort: 8080

ingress:
  enabled: false
  annotations:
    {}
    # kubernetes.io/tls-acme: "true"
  className: "nginx"
  pathtype: ImplementationSpecific
  hosts:
    - host: logstash-example.local
      paths:
        - path: /beats
          servicePort: 5044
        - path: /http
          servicePort: 8080
  tls: []
  #  - secretName: logstash-example-tls
  #    hosts:
  #      - logstash-example.local

on the third note all the services are up :

elasticsearch-master            ClusterIP   10.107.240.32    <none>        9200/                                                                                                                                   TCP,9300/TCP   6d2h
elasticsearch-master-headless   ClusterIP   None             <none>        9200/                                                                                                                                   TCP,9300/TCP   6d2h
kibana-kibana                   ClusterIP   10.110.175.132   <none>        5601/                                                                                                                                   TCP            5d22h
logstash-logstash-headless      ClusterIP   None             <none>        9600/                                                                                                                                   TCP            5d21h
metricbeat-kube-state-metrics   ClusterIP   10.111.236.183   <none>        8080/                                                                                                                                   TCP            4d17h

hope this is what you asked for.

stephenb · March 28, 2022, 1:59pm

What does your logtash pipeline config look like? That is where the Elasticsearch output is defined..

The output

From your services the host setting should probably be

host => "elasticsearch-master:9200"

system · April 25, 2022, 2:00pm

This topic was automatically closed 28 days after the last reply. New replies are no longer allowed.

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