Overview
The Canso Platform is designed to support production grade ML use cases (features, pre-processing transforms etc) from Day 1. There are 2 important pre-requisites before Data Scientists/ML Engineers can use the core functionalities of the Platform -
Setting up an Kubernetes Cluster & other infra components that are Canso compatible. This includes core infra (but is not limited to) VPCs, subnets, the K8s cluster and other cloud services such as EFS (to store Airflow DAG files), Redis (to act as the online feature store), RDS (production grade DB for Airflow) etc.
Installing Canso Helm charts to bootstrap & deploy Canso services & applications. We expose a superchart for each cloud provider, which automatically installs all applications & services needed to set up the Platform. The Helm chart installation is dependant on the successful provisioning of Step 1 and on ArgoCD being installed in the Canso compatible cluster. The Canso Superchart by default installs Prometheus, Grafana, Loki etc so that you do not have to spend additional effort monitoring your applications.
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