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Showing results for tags 'Cloudwatch'.
I've been creating datasources to collect our custom AWS Cloudwatch metrics as per the docs: https://www.logicmonitor.com/support/monitoring/cloud/monitoring-custom-cloudwatch-metrics/ - mainly this is fine... However it can't cope with dimensionless metrics: "Namespace>Dimensions>Metric>AggregationMethod, where Dimensions should be one or more key value pairs" I've tried creating datapoints without a dimension but it returns NAN (probably because LM requires "one or more key value pairs" for dimensions). We currently use a Python script to collect most our custo
GX2WXT A single Lambda function might have several versions. The default Lambda datasource monitors and alerts on the aggregate performance of each Lambda function. Using the Alias functionality in AWS, this datasource returns CloudWatch metrics specifically for the versions to which you have assigned aliases, allowing you to customize alert thresholds or compare performance across different versions of the same function. This datasource does not automatically discover aliases and begin monitoring them (as this could very quickly translate into several Aliases being monitored and drive