Performance issues in analytics environments often remain invisible until they disrupt dashboards, delay ETL jobs, or impact business decisions. For teams running Amazon Redshift Serverless, unmonitored query queues, long-running queries, or unexpected spikes in compute capacity can degrade performance and increase costs if left undetected.
This is a companion discussion topic for the original entry at https://aws.amazon.com/blogs/big-data/proactive-monitoring-for-amazon-redshift-serverless-using-aws-lambda-and-slack-alerts/