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:
For function name, enter "cueObserveAnomalyDetection".
For Container image URI select "cueobserve-lambda-image" repository & 'latest" tag.
Choose Create function.
Go to "cueObserveAnomalyDetection" function's details page & in Function Overview select + Add Trigger.
Select API Gateway
Select Create an API > "Rest API" with "open" security.
In function details page, select Configuration > General Configuration and update Memory to "512 MB" & Timeout to "30 sec".
Update variables in .env and .env.dev file
AWS_LAMBDA_URL=<lambda function API gateway endpoint>
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.