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- How?
- Use PNDA as a base
- Create/adapt Helm charts
- Ensure that no HEAT based deployment is necessary.
- Use components that are needed for normal analytics as well ML based analytics (Apache Spark latest stable release, HDFS, OpenTSDB, Kafka, Avro schema etc..)
- Use some PNDA specific packages - Deployment manager as one example.
- Develop new software components
- that allow distribution of analytics applications to various analytics instances
- that allow onboarding new analytics applications and models.
- that integrates with CLAMP framework (if needed)
- Impacted Components
- How to Test?
TCA (Changes - Convert this as a spark application)
New Machine learning models for KPI (packet loss) prediction (New use case)
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