How to upgrade the Elasticsearch-Kibana chart

Elasticsearch-Kibana is a Big Bang built/maintained chart, there is no upstream chart. The below details the steps required to update to a new version of the package.

1. Ensure that newest elastic/kibana images are compatible. If possible the image tags should be the same, although patch version differences are OK.

2. Checkout the renovate/ironbank branch.

   • This branch should already have the updates you need for the images, elasticsearch.version, kibana.version as well as version and appVersion in Chart.yaml. Validate that the version values are equal to their respective image.tag value and that the appVersion is equal to the elasticsearch version.

3. Update dependencies and binaries using helm dependency update ./chart

   • Pull assets and commit the binaries as well as the Chart.lock file that was generated.

     helm dependency update ./chart
     

   • If the bitnami/elasticsearch-exporter image is being updated:

   • Check the upstream prometheus-elasticsearch-exporter Chart.yaml file to see if there is a new chart released with the new image update

     • If a new chart exists with the new image, from the root of the repo run the following command:

       • Run a KPT package update

       kpt pkg update chart/deps/prometheus-elasticsearch-exporter@prometheus-elasticsearch-exporter-<version> --strategy alpha-git-patch
       

       • Update the file://./deps/prometheus-elasticsearch-exporter chart version in chart/Chart.yaml, image version in chart/values.yaml and tests/images.txt

       • Last, update dependencies and binaries using helm dependency update ./chart.

       Note: Any time any file in the chart/deps/prometheus-elasticsearch-exporter directory (or a sub-directory thereof) is changed, you must run helm dependency update ./chart to rebuild chart/charts/prometheus-elasticsearch-exporter-<version>.tgz.

     • Otherwise (if a new chart does not exist with the new image), skip this image update and continue to Step 5.

4. Enusure that CHANGELOG.md has been updated by verifying or updating the entry for the new version and noting all changes (at minimum should include Updated Elasticsearch-Kibana to x.x.x).

5. Push up your changes, add upgrade notices if applicable, validate that CI passes.

   • If there are any failures, follow the information in the pipeline to make the necessary updates.
   • Add the debug label to the MR for more detailed information.
   • Reach out to the CODEOWNERS if needed.

6. As part of your MR that modifies bigbang packages, you should modify the bigbang bigbang/tests/test-values.yaml against your branch for the CI/CD MR testing by enabling your packages.

   • To do this, at a minimum, you will need to follow the instructions at bigbang/docs/developer/test-package-against-bb.md with changes for Elasticsearch-Kibana enabled (the below is a reference, actual changes could be more depending on what changes where made to Elasticsearch-Kibana in the pakcage MR).

   • For Elasticsearch-Kibana to pass CI/CD MR testing, it is required to set Fluent Bit enabled to true in the tests/test-values.yaml.

test-values.yaml

```yaml
fluentbit:
  enabled: true # For MR CI/CD smoke test Elasticsearch-Kibana requires fluentbit.enabled to be set to true.

elasticsearchKibana:
  enabled: true
  git:
    tag: null
    branch: <my-package-branch-that-needs-testing>
  values:
    istio:
      hardened:
        enabled: true
  ### Additional compononents of Elasticsearch-Kibana should be changed to reflect testing changes introduced in the package MR
```

1. Follow the Testing a new Elasticsearch-Kibana version section of this document for manual testing.

Testing a new Elasticsearch-Kibana version

• Run Helm Unittests
• Make sure that you have helm unitests installed
• run helm unittest chart will run all tests under chart/tests/*_test.yaml

NOTE: For these testing steps it is good to do them on both a clean install and an upgrade. For clean install, point Elasticsearch-Kibana to your branch. For an upgrade do an install with Elasticsearch-Kibana pointing to the latest tag, then perform a helm upgrade with Elasticsearch-Kibana pointing to your branch.

You will want to install with:

• ECK-Operator
• Operator for elasticsearch and kibana deployments
• FluentBit
• Log aggregator for kibana
• Istio enabled
• Dev SSO values for Logging

The following overrides file can be used for a bare minimum Elasticsearch-Kibana deployment:

overrides/elasticsearchKibana.yaml

kiali:
  enabled: false

kyverno:
  enabled: true

kyvernoPolicies:
  enabled: true

kyvernoReporter:
  enabled: false

promtail:
  enabled: false

loki:
  enabled: false

neuvector:
  enabled: false

tempo:
  enabled: false

monitoring:
  enabled: true

grafana:
  enabled: false

addons:
  metricsServer:
    enabled: false

istio:
  enabled: true

eckOperator:
  enabled: true

elasticsearchKibana:
  enabled: true
  git:
    tag: null
    branch: renovate/ironbank
  license:
    trial: true

fluentbit:
  enabled: true

Or with SSO enabled:

overrides/elasticsearchKibana-sso.yaml

kiali:
  enabled: false

kyverno:
  enabled: true

kyvernoPolicies:
  enabled: true

kyvernoReporter:
  enabled: false

promtail:
  enabled: false

loki:
  enabled: false

neuvector:
  enabled: false

tempo:
  enabled: false

grafana:
  enabled: false

addons:
  metricsServer:
    enabled: false

istio:
  enabled: true

monitoring:
  enabled: true
  sso:
    enabled: true
    prometheus:
      client_id: platform1_a8604cc9-f5e9-4656-802d-d05624370245_bb8-prometheus
    alertmanager:
      client_id: platform1_a8604cc9-f5e9-4656-802d-d05624370245_bb8-alertmanager

eckOperator:
  enabled: true

elasticsearchKibana:
  enabled: true
  git:
    tag: null
    branch: renovate/ironbank
  sso:
    enabled: true
    client_id: platform1_a8604cc9-f5e9-4656-802d-d05624370245_bb8-kibana
  license:
    trial: true

fluentbit:
  enabled: true

Testing Steps:

• Ensure all pods go to running (NOTE: this is especially important for the upgrade testing since Big Bang has an “auto rolling upgrade” job in place)
• If kyverno and kyvernoPolicies are enabled to true skip this step, otherwise if set to false in the overrides/elasticsearchKibana.yaml for testing the following secrets will need to be copied from the logging namespace to fluentbit in order to successfully test fluentbit log shipping to elasticsearch. See fluentbit/DEVELOPMENT_MAINTENANCE.md manual testing for more detailed information.
• logging-ek-es-http-certs-public
• logging-ek-es-http-certs-internal

• logging-ek-es-elastic-user

• Log in to Kibana with default credentials, using the password in the logging-ek-es-elastic-user secret and username elastic

  kubectl get secrets -n logging logging-ek-es-elastic-user -o go-template='{{.data.elastic | base64decode}}'; echo
  

• Note: This instruction is only relevant if SSO was enabled, skip otherwise. Navigate to https://kibana.dev.bigbang.mil/app/management/security/role_mappings and add a role mapping for SSO logins (name: sso, roles: superuser, mapping rules: username=*)

• Logout and attempt to perform an SSO login with your login.dso.mil credentials
• Navigate to https://kibana.dev.bigbang.mil/app/discover#/ and click Create data view to add an index pattern to test (ex: logstash-*)
• Navigate to Analytics -> Discover and validate that pod logs are appearing in the logstash index pattern

When in doubt with any testing or upgrade steps ask one of the CODEOWNERS for assistance.

automountServiceAccountToken

The mutating Kyverno policy named update-automountserviceaccounttokens is leveraged to harden all ServiceAccounts in this package with automountServiceAccountToken: false. This policy is configured by namespace in the Big Bang umbrella chart repository at chart/templates/kyverno-policies/values.yaml.

This policy revokes access to the K8s API for Pods utilizing said ServiceAccounts. If a Pod truly requires access to the K8s API (for app functionality), the Pod is added to the pods: array of the same mutating policy. This grants the Pod access to the API, and creates a Kyverno PolicyException to prevent an alert.