Merge branch 'v1.15' into patch-1

Author: msfussell

daprdocs/content/en/operations/observability/tracing/otel-collector/open-telemetry-collector-appinsights.md

@@ -11,15 +11,15 @@ Dapr integrates with [OpenTelemetry (OTEL) Collector](https://github.com/open-te
 ## Prerequisites
 
 - [Install Dapr on Kubernetes]({{< ref kubernetes >}})
-- [Set up an App Insights resource](https://docs.microsoft.com/azure/azure-monitor/app/create-new-resource) and make note of your App Insights instrumentation key.
+- [Set up an App Insights resource](https://docs.microsoft.com/azure/azure-monitor/app/create-new-resource) and make note of your App Insights connection string.
 
 ## Set up OTEL Collector to push to your App Insights instance
 
 To push events to your App Insights instance, install the OTEL Collector to your Kubernetes cluster.
 
 1. Check out the [`open-telemetry-collector-appinsights.yaml`](/docs/open-telemetry-collector/open-telemetry-collector-appinsights.yaml) file. 
 
-1. Replace the `<INSTRUMENTATION-KEY>` placeholder with your App Insights instrumentation key.
+1. Replace the `<CONNECTION_STRING>` placeholder with your App Insights connection string.
 
 1. Apply the configuration with: 
 

daprdocs/content/en/reference/components-reference/supported-bindings/cron.md

@@ -50,7 +50,7 @@ The Dapr cron binding supports following formats:
 For example:
 
 * `30 * * * * *` - every 30 seconds
-* `0 15 * * * *` - every 15 minutes
+* `0 */15 * * * *` - every 15 minutes
 * `0 30 3-6,20-23 * * *` - every hour on the half hour in the range 3-6am, 8-11pm
 * `CRON_TZ=America/New_York 0 30 04 * * *` - every day at 4:30am New York time
 

daprdocs/static/docs/open-telemetry-collector/open-telemetry-collector-appinsights.yaml

@@ -20,8 +20,7 @@ data:
       debug:
         verbosity: basic
       azuremonitor:
-        endpoint: "https://dc.services.visualstudio.com/v2/track"
-        instrumentation_key: "<INSTRUMENTATION-KEY>"
+        connection_string: "<CONNECTION_STRING>"
         # maxbatchsize is the maximum number of items that can be
         # queued before calling to the configured endpoint
         maxbatchsize: 100