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To be able to handle the KPI management system in a Private Container Deployment, such as Kubernetes, you must prepare a number of scripts according to the instructions below. The scripts that you create are the following:

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These scripts will be used by different procedures that you find in the sections for KPI management - Distributed Processing.

Preparations before creating scripts:

A Prerequisite is that Spark, ZooKeeper, and Kafka are installed and up and running.

It is mandatory that you need to setup the Apache Kafka host and port as well. To do this, run the following commands in your environment:

export KAFKA_BROKERS="127.0.0.1:9092"
export SPARK_UI_PORT=4040 
export MZ_PLATFORM_AUTH="mzadmin:DR-4-1D2E6A059AF8120841E62C87CFDB3FF4"
export MZ_KPI_PROFILE_NAME="kpi_common.SalesModel"
export MZ_PLATFORM_URL="http://127.0.0.1:9036"
export ZOOKEEPER_HOSTS="127.0.0.1:2181"

You also need to export the configuration variables using this command:

export APPSPARK_CONFIG="{\"kpi-delay\":\"3\",\"kafka-alarm-topic\": \"kpi-alarm\",\"kafka-input-topic\": \"kpi-input\",\"kafka-output-topic\":\"kpi-output\"}"HOME=opt/spark-3.3.2-bin-hadoop3-scala2.13
export KAFKA_HOME=/opt/kafka_2.13-3.3.1
export $PATH=$SPARK_HOME/bin:$KAFKA_HOME/bin:$PATH

Creating scripts:

1. Set up your preferred KPI configuration or use the simplified example configuration, startup the platform. kpi_tst.zip

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3. To install the KPI app after building it, and extract the app installation:

$ cd buildrelease/libspackages

$ java -jar kpi_spark_89.1.10.0-SNAPSHOT.mzp install

4. You will find the new directory mz_kpiapp that contains all app software.

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