If authentication is enabled you can access the Django Admin console to do the database operations with a nice UI. To access Django Admin go to http://localhost:3000/admin and enter the username and password provided in the .env file.
CueObserve comes with built-in email alert notification system(powered by Django). By default email notifications are disabled, to enable notifications uncomment given variables.
By default Anomaly Detection tasks run on a celery workers, which are limited by CPU cores hence, limiting the parallelisation. For running 1000's of anomaly detection tasks simultaneously one available option is AWS Lambda. For configuring CueObserve to use AWS Lambda follow the steps:
Scaling is only supported only in Kubernetes deployment and you need Keda 2.0.0 installed. It is enabled by default, to disable scaling, update following variables in k8s/cue-observe/values.yml before installing CueObserve on kubernetes.
Whenever an anomaly detection is ran it scales up celery-workers & scales down in some time when finished.
The minimum infrastructure requirement for CueObserve is 1 GB RAM/ 1 CPU. If Multiple CPUs(cores) are provided, they can be utilized by tasks like Anomaly Detection & Root Cause Analysis for faster processing.