a) Logging and Visualization for Helm Chart oud-ds-rs Deployment

  1. Introduction
  2. Installation
    1. Enable Elasticsearch, Logstash, and Kibana
    2. Create Data Mount Points
    3. Configure Logstash
    4. Install or Upgrade Oracle Unified Directory Container with ELK Configuration
    5. Configure ElasticSearch
  3. Verify Using the Kibana Application


This section describes how to install and configure logging and visualization for the oud-ds-rs Helm Chart deployment.

The ELK stack consists of Elasticsearch, Logstash, and Kibana. Using ELK we can gain insights in real-time from the log data from your applications.

  • Elasticsearch is a distributed, RESTful search and analytics engine capable of solving a growing number of use cases. As the heart of the Elastic Stack, it centrally stores your data so you can discover the expected and uncover the unexpected.
  • Logstash is an open source, server-side data processing pipeline that ingests data from a multitude of sources simultaneously, transforms it, and then sends it to your favorite “stash.”
  • Kibana lets you visualize your Elasticsearch data and navigate the Elastic Stack. It gives you the freedom to select the way you give shape to your data. And you don’t always have to know what you’re looking for.


ELK can be enabled for environments created using the Helm charts provided with this project. The example below will demonstrate installation and configuration of ELK for the oud-ds-rs chart.

Enable Elasticsearch, Logstash, and Kibana

Edit logging-override-values.yaml and set the enabled flag for each component to ‘true’.

    enabled: true
    enabled: true
    enabled: true
  # If enabled, it will use the persistent volume.
  # if value is false, PV and PVC would not be used and there would not be any mount point available for config
  enabled: true
  type: networkstorage
      server: myserver
      path: /scratch/oud_elk_data

Note: if elkVolume.enabled is set to ‘true’ you should supply a directory for the ELK log files. The userid for the directory can be anything but it must have uid:guid as 1000:1000, which is the same as the ‘oracle’ user running in the container. This ensures the ‘oracle’ user has access to the shared volume/directory.

Install or Upgrade Oracle Unified Directory Container with ELK Configuration

If you have not installed the oud-ds-rs chart then you should install with the following command, picking up the ELK configuration from the previous steps:

$ helm install --namespace <namespace> --values <valuesfile.yaml> <releasename> oud-ds-rs

For example:

$ helm install --namespace oudns --values logging-override-values.yaml oud-ds-rs oud-ds-rs

If the oud-ds-rs chart is already installed then update the configuration with the ELK configuration from the previous steps:

$ helm upgrade --namespace <namespace> --values <valuesfile.yaml> <releasename> oud-ds-rs

For example:

$ helm upgrade --namespace oudns --values logging-override-values.yaml oud-ds-rs oud-ds-rs

Configure ElasticSearch

List the PODs in your namespace:

$ kubectl get pods -o wide -n <namespace>

For example:

$ kubectl get pods -o wide -n oudns

Output will be similar to the following:

$ kubectl get pods -o wide -n oudns
NAME                                  READY   STATUS    RESTARTS   AGE   IP             NODE           NOMINATED NODE   READINESS GATES
oud-ds-rs-0                           1/1     Running   0          39m   <none>           <none>
oud-ds-rs-1                           1/1     Running   0          39m   <none>           <none>
oud-ds-rs-2                           1/1     Running   0          39m   <none>           <none>
oud-ds-rs-es-cluster-0                1/1     Running   0          39m   <none>           <none>
oud-ds-rs-kibana-665f9d5fb-pmz4v      1/1     Running   0          39m   <none>           <none>
oud-ds-rs-logstash-756fd7c5f5-kvwrw   1/1     Running   0          39m   <none>           <none>

From this, identify the ElastiSearch POD, oud-ds-rs-es-cluster-0.

Run the port-forward command to allow ElasticSearch to be listening on port 9200:

$ kubectl port-forward oud-ds-rs-es-cluster-0 9200:9200 --namespace=<namespace> &

For example:

$ kubectl port-forward oud-ds-rs-es-cluster-0 9200:9200 --namespace=oudns &
[1] 98458
bash-4.2$ Forwarding from -> 9200
Forwarding from [::1]:9200 -> 9200

Verify that ElasticSearch is running by interrogating port 9200:

$ curl http://localhost:9200
Handling connection for 9200
  "name" : "mike-oud-ds-rs-es-cluster-0",
  "cluster_name" : "OUD-elk",
  "cluster_uuid" : "H2EBtAlJQUGpV6IkS46Yzw",
  "version" : {
    "number" : "6.4.3",
    "build_flavor" : "default",
    "build_type" : "tar",
    "build_hash" : "fe40335",
    "build_date" : "2018-10-30T23:17:19.084789Z",
    "build_snapshot" : false,
    "lucene_version" : "7.4.0",
    "minimum_wire_compatibility_version" : "5.6.0",
    "minimum_index_compatibility_version" : "5.0.0"
  "tagline" : "You Know, for Search"

Verify Using the Kibana Application

List the Kibana application service using the following command:

$ kubectl get svc -o wide -n <namespace> | grep kibana

For example:

$ kubectl get svc -o wide -n oudns | grep kibana

Output will be similar to the following:

oud-ds-rs-kibana             NodePort   <none>        5601:31199/TCP               67m   app=kibana

In this example, the port to access Kibana application via a Web browser will be 31199.

Enter the following URL in a browser to access the Kibana application:


For example:


From the Kibana Portal navigate to:

Management -> Index Patterns

Create an Index Pattern using the pattern ‘*’

Navigate to Discover : from here you should be able to see logs from the Oracle Unified Directory environment.