The following will create an EKS cluster with three nodes by default, an MSK cluster with three nodes by default, an S3 bucket where the LogScale data will be stored, and a number of dependent resources such as a VPC, subnets, security groups and an internet gateway.

First, clone the operator quick-start repo where the terraform quick start files are stored:

$ git clone https://github.com/humio/humio-operator-quickstart
$ cd humio-operator-quickstart/aws

Note, review the default values in the variables.tf file. It's possible to overwrite these, but be careful as changing some may have undesirable effects. A common change may be overwriting region, but changing instance types for example will have downstream consequences such as when setting the resources for the HumioCluster.

And then init and apply terraform:

$ terraform init
$ terraform apply

Once the terraform resources have been applied, configure kubectl to point to the newly created EKS cluster:

$ export KUBECONFIG=$PWD/kubeconfig
$ aws eks --region $(terraform output -raw region) update-kubeconfig --name $(terraform output -raw cluster_name)

And then verify you can authenticate with the EKS cluster and see pods:

$ kubectl get pods -A

It is necessary to have both cert-manager and the nginx-ingress controller if running the LogScale Operator with TLS and/or ingress enabled.

$ kubectl create namespace cert-manager
$ helm repo add jetstack https://charts.jetstack.io
$ helm repo update
$ helm install cert-manager jetstack/cert-manager \
  --namespace cert-manager \
  --version v1.13.2

$ export MY_EMAIL=<your email address>

apiVersion: cert-manager.io/v1
kind: ClusterIssuer
metadata:
  name: letsencrypt-prod
spec:
  acme:
    server: https://acme-v02.api.letsencrypt.org/directory
    email: $MY_EMAIL
    privateKeySecretRef:
      name: letsencrypt-prod
    solvers:
    - http01:
        ingress:
          class: nginx

kubectl apply -f clusterissuer.yaml

$ kubectl apply -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v1.2.0/deploy/static/provider/aws/deploy.yaml

Now that you have authenticated with the EKS cluster, it's time to create the LogScale Operator.

$ kubectl create namespace logging
$ helm repo add humio-operator https://humio.github.io/humio-operator
$ helm repo update
$ helm install humio-operator humio-operator/humio-operator \
  --namespace logging

You can check the status of the LogScale Operator pod by running:

$ kubectl get pods -n logging

Before creating a cluster, we need set a number of attributes specific to the cluster. We will set these as environment variables and then reference them later when creating the HumioCluster spec.

First, generate an encryption key that will be used by LogScale to encrypt the data in the S3 bucket.

$ kubectl create secret generic bucket-storage --from-literal="encryption-key=$(openssl rand -base64 64)" -n logging

Also create a developer user password which we will use to login once the LogScale cluster is up. By default we will start LogScale in single-user mode.

$ kubectl create secret generic developer-user --from-literal="password=$(openssl rand -base64 16)" -n logging

We will need the connection strings for Kafka and ZooKeeper, as well as the name of the S3 bucket and Role ARN which has access to write to the bucket. We can obtain those from terraform:

$ export KAFKA_BROKERS=$(terraform output bootstrap_brokers_tls)
$ export ZOOKEEPER_CONNECTION=$(terraform output zookeeper_connect_string)
$ export ROLE_ARN=$(terraform output oidc_role_arn)
$ export BUCKET_NAME=$(terraform output s3_bucket_name)

Additionally, we'll need to set hostnames for the HTTP and Elasticsearch ingresses. Use your own domain here. In order to use ingress with Let's Encrypt encryption, a DNS record must be created later in this process.

$ export INGRESS_HOSTNAME=humio-quickstart.example.com
$ export INGRESS_ES_HOSTNAME=humio-quickstart-es.example.com

Also set the region:

$ export REGION=us-west-2

Add license secret:

$ kubectl create secret generic humio-quickstart-license --namespace logging --from-literal=data=<license>

Finally, we can configure a yaml file which contains the HumioCluster (known as HumioCluster) spec. Run the following command to create a file named humiocluster.yaml with the desired HumioCluster spec:

cat > humiocluster.yaml <<EOF
apiVersion: core.humio.com/v1alpha1
kind: HumioCluster
metadata:
  name: humio-quickstart
  namespace: logging
spec:
  image: humio-core:1.100.0
  license:
    secretKeyRef:
      name: humio-quickstart-license
      key: data
  nodeCount: 3
  targetReplicationFactor: 2
  storagePartitionsCount: 24
  digestPartitionsCount: 24
  extraKafkaConfigs: "security.protocol=SSL"
  tls:
    enabled: true
  autoRebalancePartitions: true
  hostname: ${INGRESS_HOSTNAME}
  esHostname: ${INGRESS_ES_HOSTNAME}
  ingress:
    enabled: true
    controller: nginx
    annotations:
      use-http01-solver: "true"
      cert-manager.io/cluster-issuer: letsencrypt-prod
      kubernetes.io/ingress.class: nginx
  resources:
    limits:
      cpu: "2"
      memory: 12Gi
    requests:
      cpu: "1"
      memory: 6Gi
  affinity:
    podAntiAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
      - labelSelector:
          matchExpressions:
          - key: app.kubernetes.io/name
            operator: In
            values:
            - humio
        topologyKey: kubernetes.io/hostname
  dataVolumeSource:
    hostPath:
      path: "/mnt/disks/vol1"
      type: "Directory"
  humioServiceAccountAnnotations:
    eks.amazonaws.com/role-arn: ${ROLE_ARN}
  environmentVariables:
    - name: S3_STORAGE_BUCKET
      value: ${BUCKET_NAME}
    - name: S3_STORAGE_REGION
      value: ${REGION}
    - name: LOCAL_STORAGE_PERCENTAGE
      value: "80"
    - name: LOCAL_STORAGE_MIN_AGE_DAYS
      value: "7"
    - name: S3_STORAGE_ENCRYPTION_KEY
      valueFrom:
        secretKeyRef:
          name: bucket-storage
          key: encryption-key
    - name: USING_EPHEMERAL_DISKS
      value: "true"
    - name: S3_STORAGE_PREFERRED_COPY_SOURCE
      value: "true"
    - name: SINGLE_USER_USERNAME
      value: "admin"
    - name: SINGLE_USER_PASSWORD
      valueFrom:
        secretKeyRef:
          name: developer-user
          key: password
    - name: "ZOOKEEPER_URL"
      value: ${ZOOKEEPER_CONNECTION}
    - name: "KAFKA_SERVERS"
      value: ${KAFKA_BROKERS}
  EOF

And then apply it:

$ kubectl apply -f humiocluster.yaml

Check the status of the HumioCluster by running:

$ kubectl get humiocluster -n logging

Initially the cluster will go into the state Bootstrapping as it starts up, but once it starts all nodes it will go into the state of Running.

To send data to the cluster, we will create a new repository, obtain the ingest token, and then configure fluentbit to gather logs from all the pods in our Kubernetes cluster and send them to LogScale.

apiVersion: core.humio.com/v1alpha1
kind: HumioRepository
metadata:
  name: quickstart-cluster-logs
  namespace: logging
spec:
  managedClusterName: humio-quickstart
  name: quickstart-cluster-logs
  description: "Cluster logs repository"
  retention:
    timeInDays: 30
    ingestSizeInGB: 50
    storageSizeInGB: 10

$ kubectl apply -f humiorepository.yaml

apiVersion: core.humio.com/v1alpha1
kind: HumioParser
metadata:
  name: quickstart-cluster-parser
  namespace: logging
spec:
  managedClusterName: humio-quickstart
  name: quickstart-cluster-parser
  repositoryName: quickstart-cluster-logs
  parserScript: |
    case {
      kubernetes.pod_name=/fluentbit/
        | /\[(?<@timestamp>[^\]]+)\]/
        | /^(?<@timestamp>.*)\[warn\].*/
        | parseTimestamp(format="yyyy/MM/dd' 'HH:mm:ss", field=@timestamp);
     parseJson();
      * | kvParse()
    }

$ kubectl apply -f humioparser.yaml

apiVersion: core.humio.com/v1alpha1
kind: HumioIngestToken
  metadata:
  name: quickstart-cluster-ingest-token
  namespace: logging
spec:
  managedClusterName: humio-quickstart
  name: quickstart-cluster-ingest-token
  repositoryName: quickstart-cluster-logs
  parserName: quickstart-cluster-parser
  tokenSecretName: quickstart-cluster-ingest-token

$ kubectl apply -f humioingesttoken.yaml

$ export INGEST_TOKEN=$(kubectl get secret quickstart-cluster-ingest-token -n logging -o template --template '{{.data.token}}' | base64 -D)

$ helm repo add humio https://humio.github.io/humio-helm-charts
$ helm repo update

humio-fluentbit:
  enabled: true
  humioHostname: $INGRESS_ES_HOSTNAME
  es:
    tls: true
    port: 443
    inputConfig: |-
      [INPUT]
           Name             tail
           Path             /var/log/containers/*.log
           Parser           docker
           # The path to the DB file must be unique and
           # not conflict with another fluentbit running on the same nodes.
           DB               /var/log/flb_kube.db
           Tag              kube.*
           Refresh_Interval 5
           Mem_Buf_Limit    512MB
           Skip_Long_Lines  On
    resources:
      limits:
        cpu: 100m
        memory: 1024Mi
      requests:
        cpu: 100m
        memory: 512Mi

$ helm install humio humio/humio-helm-charts \
  --namespace logging \
  --set humio-fluentbit.token=$INGEST_TOKEN \
  --values humio-agent.yaml

It's possible to run an individual kubectl delete on each resource, but since we have created a dedicated EKS cluster, we will delete everything we just created by deleting the cluster resource and then running terraform destroy.

First, delete the cluster so pods no longer write to the S3 bucket:

$ kubectl delete -f humiocluster.yaml

Prior to running terraform destroy, it will be necessary to ensure the S3 bucket that was created by terraform is emptied. The name of the S3 bucket can be obtained by running:

$ terraform output s3_bucket_name

Now empty the S3 bucket either through the AWS console or CLI.

Next we'll need to ensure the nginx-ingress-controller's service is removed. This way the NLB will be removed from AWS. If this is not done, terraform will get stuck deleting the subnets when performing a terraform destroy:

$ kubectl delete -f https://raw.githubusercontent.com/kubernetes/ingress-nginx/controller-v0.35.0/deploy/static/provider/aws/deploy.yaml

Once the bucket has been emptied and the nginx-ingress-controller has been deleted, run:

$ terraform destroy

Also delete the DNS records which were created for $INGRESS_HOSTNAME and $INGRESS_ES_HOSTNAME.