diff --git a/exporter/googlecloudexporter/README.md b/exporter/googlecloudexporter/README.md
index 566b6ff716b7..b70f2152da0a 100644
--- a/exporter/googlecloudexporter/README.md
+++ b/exporter/googlecloudexporter/README.md
@@ -235,6 +235,34 @@ following proxy environment variables:
 If set at Collector start time then exporters, regardless of protocol,
 will or will not proxy traffic as defined by these environment variables.
 
+### Monitored Resources
+
+For metrics and logs, this exporter maps the OpenTelemetry Resource to a Google
+Cloud [Logging\(https://cloud.google.com/logging/docs/api/v2/resource-list) or
+[Monitoring](https://cloud.google.com/monitoring/api/resources) Monitored Resource.
+
+The complete mapping logic can be found [here](https://github.com/GoogleCloudPlatform/opentelemetry-operations-go/blob/main/internal/resourcemapping/resourcemapping.go).
+That may be the most helpful reference if you want to map to a specific monitored
+resource.
+
+#### On GCP
+
+If running on GCP, using the GCP resource detector, as shown above, will populate
+the resource attributes required to map to the appropriate monitored resource.
+
+#### Off GCP
+
+If you are not running on GCP, you still need to choose a [GCP zone or
+region](https://cloud.google.com/compute/docs/regions-zones) to send telemetry to
+by setting `cloud.availability_zone` or `cloud.region`. In addition, you should use the detector associated with other cloud providers, if applicable.
+
+If running on Kubernetes, it is recommended to additionally set `k8s.pod.name`,
+`k8s.namespace.name`, and `k8s.container.name` using the `k8sattributes` processor.
+
+If you are getting "duplicate timeseries encountered" errors, it is likely because
+you are missing a required resource attribute, causing a metric from two different
+instances of an application to end up with the same monitored resource.
+
 ### Preventing metric label collisions
 
 The metrics exporter can add metric labels to timeseries, such as when setting
@@ -274,6 +302,9 @@ processors:
       - delete_key(attributes, "instrumentation_version")
 ```
 
+**Note** It is not recommended to use these transformations with the googlecloud
+exporter in a logging or trace pipeline.
+
 The same method can be used for any resource attributes being filtered to metric
 labels, or metric labels which might collide with the GCP monitored resource
 used with resource detection.