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= Service exposition
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:k8s-service: https://kubernetes.io/docs/concepts/services-networking/service/
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:k8s-service-types: https://kubernetes.io/docs/concepts/services-networking/service/#publishing-services-service-types
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:description: Explore Stackable's service exposition options: ClusterIP for internal access, NodePort for unstable external access, and LoadBalancer for stable external access.
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:listener-operator: xref:listener-operator:index.adoc
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:secret-operator: xref:secret-operator:index.adoc
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:listenerclass: xref:listener-operator:listenerclass.adoc
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:description: Explore how Stackable uses listener-operator to expose Services.
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Data products expose interfaces to the outside world.
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These interfaces (whether UIs, or APIs) can be accessed by other products or by end users.
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Other products accessing the interfaces can run inside or outside of the same Kubernetes cluster.
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Clients accessing the interfaces can run inside or outside of the same Kubernetes cluster.
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For example, xref:zookeeper:index.adoc[Apache ZooKeeper] is a dependency for other products, and it usually needs to be accessible only from within Kubernetes, while xref:superset:index.adoc[Apache Superset] is a data analysis product for end users and therefore needs to be accessible from outside the Kubernetes cluster.
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Users connecting to Superset can be restricted within the local company network, or they can connect over the internet depending on the company security policies and demands.
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This page gives an overview over the different options for service exposition, when to choose which option and how these options are configured.
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== Service exposition options
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The Stackable Data Platform supports three {k8s-service-types}[types of Kubernetes Service] for exposing data product endpoints:
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== Motivation
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* ClusterIP
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* NodePort
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* LoadBalancer
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Service exposition is such a complicated topic, that Stackable has build it's own operator for that: {listener-operator}[].
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The following section explains the motivation why we wrote such an operator over just using plain regular Kubernetes Services.
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All custom resources for data products provide a resource field named `spec.clusterConfig.listenerClass` which determines how the product can be accessed.
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There are three ListenerClasses, named after the goal for which they are used (more on this in the <<when-to-choose-which-option, next section>>):
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=== Tools advertising their address
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* `cluster-internal` => Use ClusterIP (default)
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* `external-unstable` => Use NodePort
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* `external-stable` => Use LoadBalancer
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Some tools need to know how they are externally reachable.
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This is e.g. important for HDFS, where the namenode keeps track of which datanode serves which block or Kafka (used for client bootstrapping).
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A HDFS client asks the namenode "I want to read block 42, who is serving that?", the namenode responds with "block 42 is served by <ip or hostname of some datanode>".
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For that to work, the datanode needs to know it's external address on startup and tell it the namenode.
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(And yes, we needed to patch Hadoop source-code for that ;))
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The `cluster-internal` class exposes the interface of a product by using a ClusterIP Service.
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This service is only reachable from within the Kubernetes cluster.
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This setting is the most secure and was chosen as the default for that reason.
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The {listener-operator}[listener-operator] runs as CSI driver (same as the {secret-operator}[secret-operator]) and places files inside the CSI volume, which tell the tool how it is reachable.
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NOTE: Not all operators support all classes.
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Consult the operator specific documentation to find out about the supported service types.
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=== Integration with {secret-operator}[secret-operator]
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[#when-to-choose-which-option]
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== When to choose which option
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If a tool is secured using TLS or Kerberos, it does not only need to be reachable via the determined address, it also needs a TLS certificate/keytab issued on the determined address.
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{secret-operator}[secret-operator] integrated with to {listener-operator}[listener-operator], so that the platform takes care of provisioning certificates with the correct addresses (in the form of SAN entries).
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There are three options, one for internal traffic and two for external access, where internal and external refer to the Kubernetes cluster.
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Internal means inside of the Kuberenetes cluster, and external means access from outside of it.
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== {listenerclass}[ListenerClasses]
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=== Internal
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A {listenerclass}[] describes how a product should be exposed.
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Please read on {listenerclass}[it's documentation] before continuing on this page.
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`cluster-internal` is the default class and the Service behind it is only reachable from within Kubernetes.
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This is useful for middleware products such as xref:zookeeper:index.adoc[Apache ZooKeeper], xref:hive:index.adoc[Apache Hive metastore], or an xref:kafka:index.adoc[Apache Kafka] cluster used for internal data flow.
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Products using this ListenerClass are not accessible from outside Kubernetes.
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As a quick reminder, the platform ships with 3 default {listenerclass}[ListenerClasses]:
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=== External
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`cluster-internal`:: Used for listeners that are only accessible internally from the cluster. For example: communication between ZooKeeper nodes.
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`external-unstable`:: Used for listeners that are accessible from outside the cluster, but which do not require a stable address. For example: individual Kafka brokers.
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`external-stable`:: Used for listeners that are accessible from outside the cluster, and do require a stable address. For example: Kafka bootstrap.
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External access is needed when a product needs to be accessed from _outside_ of Kubernetes.
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This is necessary for all end user products such as xref:superset:index.adoc[Apache Superset].
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Some tools can expose APIs for data ingestion like xref:kafka:index.adoc[Apache Kafka] or xref:nifi:index.adoc[Apache NiFi].
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If data needs to be ingested from outside of the cluster, one of the external listener classes should be chosen.
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Keep in mind that you are not restricted to this list, you can configure your own custom {listenerclass}[ListenerClasses].
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When to use `stable` and when to use `unstable`?
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The `external-unstable` setting exposes a product interface via a Kuberneres NodePort.
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In this case the service's IP address and port can change if Kubernetes needs to restart or reschedule the Pod to another node.
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== Configuring the ListenerClass for a stacklet
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The `external-stable` class uses a LoadBalancer.
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The LoadBalancer is running at a fixed address and is therefore `stable`.
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Managed Kubernetes services in the cloud usually offer a LoadBalancer, but for an on premise cluster you have to configure a LoadBalancer yourself.
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For a production setup, it is recommended to use a LoadBalancer and the `external-stable` ListenerClass.
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We integrated {listener-operator}[listener-operator] into most of our products, currently only xref:opa:index.adoc[] and xref:spark-k8s:index.adoc[] are not using {listener-operator}[listener-operator].
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== Outlook
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Most of the tools configure the {listenerclass}[] at the role level as follows:
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For most of the Stackable operators, these listener classes are hardcoded to expose certain Service types and do not offer any additional configuration.
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However, some operators support specifying custom xref:listener-operator:listenerclass.adoc[ListenerClass]es with more granular configuration options, via the xref:listener-operator:index.adoc[listener-operator].
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In a future release, all Stackable operators are planned to be migrated over to this system.
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[source,yaml]
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----
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spec:
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my-role:
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roleConfig:
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listenerClass: external-unstable
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----
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For more information on what is supported by any individual operator, please see that operator's documentation.
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Every operator has a documentation section called "Service exposition with ListenerClasses", which may provide details for the specific tool.

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