bitnamicharts/jaeger

Bitnami Secure Images Helm chart for Jaeger

Jaeger is a distributed tracing system. It is used for monitoring and troubleshooting microservices-based distributed systems.

https://jaegertracing.io/

Trademarks: This software listing is packaged by Bitnami. The respective trademarks mentioned in the offering are owned by the respective companies, and use of them does not imply any affiliation or endorsement.

TL;DR

console
helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/jaeger

Note: You need to substitute the placeholders REGISTRY_NAME and REPOSITORY_NAME with a reference to your Helm chart registry and repository.

Introduction

This chart bootstraps a https://github.com/bitnami/containers/tree/main/bitnami/jaeger deployment on a https://kubernetes.io cluster using the https://helm.sh package manager.

Before you begin

• Kubernetes 1.23+
• Helm 3.8.0+
• PV provisioner support in the underlying infrastructure
• ReadWriteMany volumes for deployment scaling

Installing the Chart

To install the chart with the release name my-release:

console
helm install my-release oci://REGISTRY_NAME/REPOSITORY_NAME/jaeger

Note: You need to substitute the placeholders REGISTRY_NAME and REPOSITORY_NAME with a reference to your Helm chart registry and repository. For example, in the case of Bitnami, you need to use REGISTRY_NAME=registry-1.docker.io and REPOSITORY_NAME=bitnamicharts.

These commands deploy jaeger on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation.

Tip: List all releases using helm list

Uninstalling the Chart

To uninstall/delete the my-release statefulset:

console
helm delete my-release

The command removes all the Kubernetes components associated with the chart and deletes the release. Use the option --purge to delete all history too.

Configuration and installation details

This section describes credentials, configuration, and other installation options.

Resource requests and limits

Bitnami charts allow setting resource requests and limits for all containers inside the chart deployment. These are inside the resources value (check parameter table). Setting requests is essential for production workloads and these should be adapted to your specific use case.

To make this process easier, the chart contains the resourcesPreset values, which automatically sets the resources section according to different presets. Check these presets in https://github.com/bitnami/charts/blob/main/bitnami/common/templates/_resources.tpl#L15. However, in production workloads using resourcesPreset is discouraged as it may not fully adapt to your specific needs. Find more information on container resource management in the https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/.

https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-doc/apps-tutorials-understand-rolling-tags-containers-index.html

It is strongly recommended to use immutable tags in a production environment. This ensures your deployment does not change automatically if the same tag is updated with a different image.

Bitnami will release a new chart updating its containers if a new version of the main container, significant changes, or critical vulnerabilities exist.

External database support

You may want to have Jaeger connect to an external database rather than installing one inside your cluster. Typical reasons for this are to use a managed database service, or to share a common database server for all your applications. To achieve this, the chart allows you to specify credentials for an external database with the externalDatabase parameter. You should also disable the Cassandra installation with the cassandra.enabled option. Here is an example:

console
cassandra.enabled=false
externalDatabase.host=myexternalhost
externalDatabase.port=9042

The Jaeger keyspace needs to be created in the external Cassandra database prior to the deployment, otherwise Jaeger won't be able to initialise.

Additional environment variables

In case you want to add extra environment variables (useful for advanced operations like custom init scripts), you can use the extraEnvVars property inside each of the subsections: collector, query.

yaml
collector:
  extraEnvVars:
    - name: ENV_VAR_NAME
      value: ENV_VAR_VALUE

query:
  extraEnvVars:
    - name: ENV_VAR_NAME
      value: ENV_VAR_VALUE

Alternatively, you can use a ConfigMap or a Secret with the environment variables. To do so, use the extraEnvVarsCM or the extraEnvVarsSecret values.

Sidecars

If additional containers are needed in the same pod as jaeger (such as additional metrics or logging exporters), they can be defined using the sidecars parameter inside each of the subsections: collector, query .

yaml
sidecars:
- name: your-image-name
  image: your-image
  imagePullPolicy: Always
  ports:
  - name: portname
    containerPort: 1234

If these sidecars export extra ports, extra port definitions can be added using the service.extraPorts parameter (where available), as shown in the example below:

yaml
service:
  extraPorts:
  - name: extraPort
    port: 11311
    targetPort: 11311

NOTE: This Helm chart already includes sidecar containers for the Prometheus exporters (where applicable). These can be activated by adding the --enable-metrics=true parameter at deployment time. The sidecars parameter should therefore only be used for any extra sidecar containers.

If additional init containers are needed in the same pod, they can be defined using the initContainers parameter. Here is an example:

yaml
initContainers:
  - name: your-image-name
    image: your-image
    imagePullPolicy: Always
    ports:
      - name: portname
        containerPort: 1234

Learn more about https://kubernetes.io/docs/concepts/workloads/pods/ and https://kubernetes.io/docs/concepts/workloads/pods/init-containers/.

Pod affinity

This chart allows you to set your custom affinity using the affinity parameter. Find more information about Pod affinity in the https://kubernetes.io/docs/concepts/configuration/assign-pod-node/#affinity-and-anti-affinity.

As an alternative, use one of the preset configurations for pod affinity, pod anti-affinity, and node affinity available at the https://github.com/bitnami/charts/tree/main/bitnami/common#affinities chart. To do so, set the podAffinityPreset, podAntiAffinityPreset, or nodeAffinityPreset parameters inside each of the subsections: distributor, compactor, ingester, querier, queryFrontend and vulture.

Backup and restore

To back up and restore Helm chart deployments on Kubernetes, you need to back up the persistent volumes from the source deployment and attach them to a new deployment using https://velero.io/, a Kubernetes backup/restore tool. Find the instructions for using Velero in https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-doc/apps-tutorials-backup-restore-deployments-velero-index.html.

FIPS parameters

The FIPS parameters only have effect if you are using images from the https://go-vmware.broadcom.com/contact-us.

For more information on this new support, please refer to the https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-doc/security-frameworks-FIPS-compliance.html.

Persistence

The https://github.com/bitnami/containers/tree/main/bitnami/jaeger image stores the trace onto an external database. Persistent Volume Claims are used to keep the data across deployments.

Parameters

The following subsections list global, common, and component-specific parameters.

Global parameters

Common parameters

Jaeger parameters

Query deployment parameters

Note: the README for this chart is longer than the DockerHub length limit of 25000, so it has been trimmed. The full README can be found at https://techdocs.broadcom.com/us/en/vmware-tanzu/bitnami-secure-images/bitnami-secure-images/services/bsi-app-doc/apps-charts-jaeger-index.html