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Quick Start Observability for AWS Redshift

AWS Redshift
AWS Redshift icon

Coralogix Extension For AWS Redshift Includes:

Dashboards - 2

Gain instantaneous visualization of all your AWS Redshift data.

AWS Redshift
AWS Redshift
AWS Redshift Serverless
AWS Redshift Serverless

Alerts - 7

Stay on top of AWS Redshift key performance metrics. Keep everyone in the know with integration with Slack, PagerDuty and more.

AWS Redshift Serverless - High query runtime breakdown

This alert triggers when the maximum query runtime breakdown for your Redshift serverless cluster exceeds a 60 seconds. A high query runtime breakdown can indicate inefficient query performance.

AWS Redshift Serverless - High compute seconds

This alert triggers when the maximum number of compute seconds used by your Redshift Serverless cluster exceeds a 100 seconds. High compute seconds usage can indicate that your queries are consuming more resources than expected.

High network receive throughput

This alert triggers when the average network receive throughput of your Redshift cluster exceeds a 100 MB/s. threshold. High network receive throughput can indicate heavy data transfer activity.

Maintenance mode enabled

This alert triggers when the average maintenance mode status of your Redshift cluster indicates that maintenance is currently being performed. Maintenance mode can impact the availability of your cluster.

High network transmit throughput

This alert triggers when the average network transmit throughput of your Redshift cluster exceeds a 100 MB/s threshold. High network transmit throughput can indicate heavy data transfer activity.

Health status degradation

This alert triggers when the average health status of your Redshift cluster falls below a specified threshold. A degraded health status can indicate potential issues with the cluster's performance or availability.

High CPU Utilization

This alert triggers when the average CPU utilization of your Redshift cluster exceeds a 80% threshold. High CPU utilization can indicate that your cluster is under heavy load and may need to be scaled up.