Skip to main content
Version: 3.4 (unsupported)

Configure a custom values file for ScalarDL Ledger

This document explains how to create your custom values file for the ScalarDL Ledger chart. If you want to know the details of the parameters, please refer to the README of the ScalarDL Ledger chart.

Required configurations​

Scalar Envoy configurations​

You must set the Scalar Envoy configurations in the custom values file for ScalarDL Ledger. This is because client requests are sent to ScalarDL Ledger via Scalar Envoy as the load balancer of gRPC requests if you deploy ScalarDL Ledger on a Kubernetes environment.

Please refer to the document Configure a custom values file for Scalar Envoy for more details on the Scalar Envoy configurations.

envoy:
  configurationsForScalarEnvoy: 
    ...

ledger:
  configurationsForScalarDLLedger: 
    ...

Image configurations​

You must set ledger.image.repository. Be sure to specify the ScalarDL Ledger container image so that you can pull the image from the container repository.

ledger:
  image:
    repository: <SCALARDL_LEDGER_CONTAINER_IMAGE>

If you're using AWS or Azure, please refer to the following documents for more details:

Ledger/Database configurations​

You must set ledger.ledgerProperties. Please set your ledger.properties to this parameter. Please refer to the ledger.properties for more details on the configuration of ScalarDL Ledger.

ledger:
  ledgerProperties: |
    scalar.db.contact_points=localhost
    scalar.db.username=cassandra
    scalar.db.password=cassandra
    scalar.db.storage=cassandra
    scalar.dl.ledger.proof.enabled=true
    scalar.dl.ledger.auditor.enabled=true
    scalar.dl.ledger.proof.private_key_path=/keys/ledger-key-file

Key/Certificate configurations​

If you set scalar.dl.ledger.proof.enabled to true (this configuration is required if you use ScalarDL Auditor), you must set a private key file to scalar.dl.ledger.proof.private_key_path.

In this case, you must mount the private key file on the ScalarDL Ledger pod.

For more details on how to mount the private key file, refer to Mount key and certificate files on a pod in ScalarDL Helm Charts.

Optional configurations​

If you want to control pod resources using the requests and limits of Kubernetes, you can use ledger.resources.

Note that the resources for one pod of Scalar products are limited to 2vCPU / 4GB memory from the perspective of the commercial license. Also, when you get the pay-as-you-go containers provided from AWS Marketplace, you cannot run those containers with more than 2vCPU / 4GB memory configuration in the resources.limits. When you exceed this limitation, pods are automatically stopped.

You can configure them using the same syntax as the requests and limits of Kubernetes. So, please refer to the official document Resource Management for Pods and Containers for more details on the requests and limits of Kubernetes.

ledger:
  resources:
    requests:
      cpu: 2000m
      memory: 4Gi
    limits:
      cpu: 2000m
      memory: 4Gi

If you want to use environment variables to set some properties (e.g., credentials) in the ledger.ledgerProperties, you can use ledger.secretName to specify the Secret resource that includes some credentials.

For example, you can set credentials for a backend database (scalar.db.username and scalar.db.password) using environment variables, which makes your pods more secure.

Please refer to the document How to use Secret resources to pass the credentials as the environment variables into the properties file for more details on how to use a Secret resource.

ledger:
  secretName: "ledger-credentials-secret"

If you want to control pod deployment using the affinity and anti-affinity of Kubernetes, you can use ledger.affinity.

You can configure them using the same syntax as the affinity of Kubernetes. So, please refer to the official document Assigning Pods to Nodes for more details on the affinity configuration of Kubernetes.

ledger:
  affinity:
    podAntiAffinity:
      preferredDuringSchedulingIgnoredDuringExecution:
        - podAffinityTerm:
            labelSelector:
              matchExpressions:
                - key: app.kubernetes.io/name
                  operator: In
                  values:
                    - scalardl
                - key: app.kubernetes.io/app
                  operator: In
                  values:
                    - ledger
            topologyKey: kubernetes.io/hostname
          weight: 50

If you want to monitor ScalarDL Ledger pods using kube-prometheus-stack, you can deploy a ConfigMap, a ServiceMonitor, and a PrometheusRule resource for kube-prometheus-stack using ledger.grafanaDashboard.enabled, ledger.serviceMonitor.enabled, and ledger.prometheusRule.enabled.

ledger:
  grafanaDashboard:
    enabled: true
    namespace: monitoring
  serviceMonitor:
    enabled: true
    namespace: monitoring
    interval: 15s
  prometheusRule:
    enabled: true
    namespace: monitoring

If you want to set SecurityContext and PodSecurityContext for ScalarDL Ledger pods, you can use ledger.securityContext and ledger.podSecurityContext.

You can configure them using the same syntax as SecurityContext and PodSecurityContext of Kubernetes. So, please refer to the official document Configure a Security Context for a Pod or Container for more details on the SecurityContext and PodSecurityContext configurations of Kubernetes.

ledger:
  podSecurityContext:
    seccompProfile:
      type: RuntimeDefault
  securityContext:
    capabilities:
      drop:
        - ALL
    runAsNonRoot: true
    allowPrivilegeEscalation: false

Replica configurations (Optional based on your environment)​

You can specify the number of replicas (pods) of ScalarDL Ledger using ledger.replicaCount.

ledger:
  replicaCount: 3

Logging configurations (Optional based on your environment)​

If you want to change the log level of ScalarDL Ledger, you can use ledger.scalarLedgerConfiguration.ledgerLogLevel.

ledger:
  scalarLedgerConfiguration:
    ledgerLogLevel: INFO

Taint and toleration configurations (Optional based on your environment)​

If you want to control pod deployment by using the taints and tolerations in Kubernetes, you can use ledger.tolerations.

You can configure taints and tolerations by using the same syntax as the tolerations in Kubernetes. For details on configuring tolerations in Kubernetes, see the official Kubernetes documentation Taints and Tolerations.

ledger:
  tolerations:
    - effect: NoSchedule
      key: scalar-labs.com/dedicated-node
      operator: Equal
      value: scalardl-ledger