Services ======== OISP can be extended with custom microservices that perform various streaming oder batch operations. The `oisp-services `_ repository contains the operator managing services, as well as couple of example services, such as the `rule engine `_. .. note:: This is not to be confused with `Kubernetes services `_, which is a way of making Kubernetes deployments accessible. Services operator ----------------- Services are managed by an `operator `_, which is based on the Zalando's `kopf `_ framework. Services operator is part of the standard OISP installation. Beam Services ~~~~~~~~~~~~~ Currently, the only supported service type is a `beam `_ service. You can verify that the corresponding CRD is installed by running: .. code-block:: bash kubectl -n oisp get crd | grep beamservices.oisp.org A beam service is provided to OISP as a jarfile. .. note:: If you are setting the beam runner in compile time, note that OISP comes with the `Flink `_ runner by default. Lets have a look at the Kubernetes resources of OISP's rule-engine as an example, **note that this is a HELM template!**: .. code-block:: yaml apiVersion: oisp.org/v1 kind: BeamService metadata: name: rule-engine spec: package: url: {{ .Values.ruleEngine.url }} username: {{ .Values.ruleEngine.ftpUsername }} password: {{ .Values.ruleEngine.ftpPassword }} entryClass: "org.oisp.RuleEngineBuild" The `package` block describes how to get the jarfile. The url must be a valid http(s) or ftp path. If the jarfile is hosted in an FTP server, the username and password options are used for authentication. `entryClass` is another mandatory parameter in `spec`, and is required by the Flink runner to start the application. .. note:: A convenient way of building a CI pipeline for your services is to use a Docker multi stage build, of which the first stage builds the jarfile, and the second stage is a minimal http server that hosts the artifacts. You a can create a Kubernetes deployment using this image. This way you won't have to maintain an external server for hosting your jars. The services operator also offers a convenient way of passing arguments to Flink runner. The `args` block under `spec` is used for this: .. code-block:: yaml tokens: - user: {{ .Values.ruleEngine.username }} password: {{ .Values.ruleEngine.password }} args: runner: FlinkRunner streaming: "true" JSONConfig: format: | {{`{{ "application_name": "rule_engine_dashboard", "dashboard_strict_ssl": false, "dashboard_url": "http://{config[ruleEngineConfig][frontendUri]}", "kafka_servers": "{config[kafkaConfig][uri]}", "kafka_zookeeper_quorum": "{config[zookeeperConfig][zkCluster]}" , "kafka_observations_topic": "{config[kafkaConfig][topicsObservations]}", "kafka_rule_engine_topic": "{config[kafkaConfig][topicsRuleEngine]}", "kafka_heartbeat_topic": "{config[kafkaConfig][topicsHeartbeatName]}", "kafka_heartbeat_interval": "{config[kafkaConfig][topicsHeartbeatInterval]}", "zookeeper_hbase_quorum": "not used", "token": "{tokens[rule_engine@intel.com]}" }}`}} encode: base64 A simple key-value pair is passed on as a string. For more complicataed scenarios, a map of containing `format` and the optional `encode` parameter. If encode is not given, the formatted string will be passed on directly. Currenty, `base64` is the only suppported value for encoding. The `format` string is a `Python f-string `_. The following dictionaries are available: * **config:** Contains the environment variables as defined in the `oisp-config` configmap. * **tokens:** Key values are email addresses/usernames of oisp users, values are tokens obtained from the frontend. The authentication data has to be provided in the `tokens` block, as in the example above. .. note:: Again, note that this is a Helm template. The opening {{` and the closing `}} are creating a string literal (from Helms perspective), so that the python f-string can use the inner {{, which is the escape sequence for a single curly bracket ({).