Honestly, I've developed the last few projects in Serverless framework and deployed to AWS Lambda. My biggest project is a custom Python application monitoring solution that has 4 separate Lambda function/handlers, populates an RDS PostgresSQL database with monitoring data (runs in a VPC), then reads from that database using complex joins across multiple application metric tables to send time-series data to Cloudwatch metrics.
Then, I configured Cloudwatch alarms to have thresholds for certain metrics that send a web hook to PagerDuty.
The benefit is that my monitoring system never goes down, never needs to be patched manually (AWS even patches my Postgres database, and fails over to the warm standby during patching), and never needs any system administration.
Have you ever worked at a company where you had a serious outage that you didn't detect quickly enough because a monitoring system was down? Having a Serverless monitoring system means this has happened 0 times despite our app running in production for almost a year now.
Then, I configured Cloudwatch alarms to have thresholds for certain metrics that send a web hook to PagerDuty.
The benefit is that my monitoring system never goes down, never needs to be patched manually (AWS even patches my Postgres database, and fails over to the warm standby during patching), and never needs any system administration.
Have you ever worked at a company where you had a serious outage that you didn't detect quickly enough because a monitoring system was down? Having a Serverless monitoring system means this has happened 0 times despite our app running in production for almost a year now.