Features
Subbul has all the features you need to easily get visibility into your application's health and performance. Easily track and monitor metrics, set alarms, and get notified on critical issues - all in your own AWS account.
Easy to use SDK
Install the Subbul SDK into your favourite framework and start monitoring API metrics in minutes. Monitor metrics like response times, status codes, and request rates with zero configuration.
Create and manage alarms
Skip the complicated AWS interface and use the Subbul dashboard to set alarms on your metrics (even custom ones!). Easily create meaningful alarms that alert you when your API's health is at risk.
Automatically sync alarms with your endpoints
Automatically create alarms for any new endpoints, any automatically delete alarms for endpoints that are no longer used. No need to manually manage alarms for each new endpoint.
Track custom metrics
In addition to standard API metrics, you can easily track any custom metrics with just a few lines of code. Then, easily monitor and set alarms on your custom metrics in the dahsboard.
Create budget alarms
Set alarms to trigger when your AWS bill exceeds certain thresholds. Get notified when your bill is higher than expected, and take action to reduce costs.
Manage alarm contacts
Create groups of people who should be contacted in case of alarm. Create many different contact groups for different alarm severities, and easily add or remove contacts when needed.
Cost management tools
Use Subbul to remotely filter out unnecceary metrics and save on your AWS CloudWatch bill.
Server health monitoring
Get real time metrics on the health of your server instances. Trigger alarms when the number of healthy instances drops below a certain threshold.
Create health checks
Create health checks to monitor the health of your API. Periodically ping your API and trigger an alarm if it is down or not responding as expected.
Alarm recommendations
Bulk create alarms based on recommendations generated by analyzing historic data.
Anomaly detection alarms
Create alarms that trigger when your API metrics deviate from their normal behavior. Machine learning models detect anomalies in your metrics and alert you when they occur.
