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- Container images and Helm charts for
- Collection and Distribution stack (CollectD, Node-Exporter, cAdvisor, Prometheus, CollectD operator)
- Data lake (HDFS and M3DB, M3DB operator, HDFS writer, Operator for HDFS writer and prometheus related remote_read and write services)
- Training (Spark with scikit-learn, math libraries, MLLib etc..., Horovod, spark-k8s-operator and possibly Horovod operator AND mode optimizer & storage service)
- Inferencing (Tensorflow-Serving)
- Messaging (Kafka-broker, zookeeper, Kafka operator)
- Model management (Minio and Minio operator)
- Sample applications
- Placement of stack in various locations and configuration of them to work together.
- Features that may be postponed to R5
- Various operators
Release
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6 goals:
- Performance features
- Security (ingress, egress, inter-component, RBAC for each package)
- Way to customize packages
- Deployment using Multi-Cluster scheduler
- GUI/CLI based configuration of stack
- Monitoring of stacks - Ensure that each stack component has prometheus target.
- Some real AI based analytics
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