Third release

• Master status at 2019-04-25
• A few new components: Druidi, Superset, Nifi
• Bug fixing

Second release

1. Added installation script to ease initial setup
2. Made run callable from anywhere (/usr/local/bin)
3. Configuration yaml for components and k8s can be centralised (all-in-one flavour file) or distributed (per component)
4. Shortened preamble (loading of component variables and configs) with new utils functions

Second release

Added components for:

• Cassandra
• Flink
• Elasticsearch
• Kibana
• Grafana
• Argo
• Metallb
• Ambassador
• Traefik

First release

1. Kubernetes setup
   • local using minikube, as well as microk8s and multipass+microk8s
   • remote, using sample scripts in KOPS for the setup on AWS and GKE
2. Setup of common components
   • Ingestion (e.g. kafka, RabbitMQ)
   • Persistent storage (e.g. s3, ArangoDB, InfluxDB)
   • Data Versioning (e.g. Pachyderm)
   • Processing (e.g. dask, spark)
   • Exploration Environment (e.g. JupyterHub)
   • BI Dashboarding (e.g. superset)
   • ML model versioning and benchmarking, as well as project management (e.g. mlflow)
   • ML model serving (e.g. Seldon-core)
   • Monitoring (e.g. prometheus, Grafana)
3. Data Science environments
   • Scientific Python Environment
   • PySpark Environment
   • Keras/Tensorflow Environment
   • Keras/Tensorflow GPU Environment
4. Example code
   • notebooks