Let's perform the following steps to get fluent-bit deployed:

1. Get the password for the default elastic user:

$ kubectl get secret elasticsearch-es-elastic-user 
-n logging -o=jsonpath='{.data.elastic}' | base64 --decode; echo

2. Copy the output of Step 1 and edit the fluent-bit-values.yaml file in the /src/chapter10/efk directory. Replace the http_passwd value with the output of Step 1 and save the file:

backend:
  type: es
  es:
    host: elasticsearch-es-http
    port: 9200
    http_user: elastic
    http_passwd: m2zr9fz49zqbkbpksprf4r76
    # Optional TLS encryption to ElasticSearch instance
    tls: "on"
    tls_verify: "off"

3. Deploy fluent-bit using the Helm chart:

$ helm install stable/fluent-bit --name=fluent-bit --namespace=logging -f fluent-bit-values.yaml

4. Confirm the pod's status in the logging namespace using the following command:

$ kubectl get pods -n logging
NAME                         READY STATUS  RESTARTS AGE
elasticsearch-es-default-0   1/1   Running 0        158m
elasticsearch-es-default-1   1/1   Running 0        158m
elasticsearch-es-default-2   1/1   Running 0        158m
fluent-bit-249ct             1/1   Running 0        2m11s
fluent-bit-4nb9k             1/1   Running 0        2m11s
fluent-bit-fqtz9             1/1   Running 0        2m11s
fluent-bit-lg9hn             1/1   Running 0        2m11s
mykibana-kb-5596b888b5-qv8wn 1/1   Running 0        115m

With that, you have deployed all the components of the EFK stack. Next, we will connect to the Kibana dashboard.