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Diffstat (limited to 'doc/development/service_ping/metrics_instrumentation.md')
| -rw-r--r-- | doc/development/service_ping/metrics_instrumentation.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/doc/development/service_ping/metrics_instrumentation.md b/doc/development/service_ping/metrics_instrumentation.md index 5cc8a7811d7..80500ccc723 100644 --- a/doc/development/service_ping/metrics_instrumentation.md +++ b/doc/development/service_ping/metrics_instrumentation.md @@ -257,10 +257,10 @@ options: ## Aggregated metrics <div class="video-fallback"> - See the video from: <a href="https://www.youtube.com/embed/22LbYqHwtUQ">Product Intelligence Office Hours Oct 6th</a> for an aggregated metrics walk-through. + See the video from: <a href="https://www.youtube.com/watch?v=22LbYqHwtUQ">Product Intelligence Office Hours Oct 6th</a> for an aggregated metrics walk-through. </div> <figure class="video-container"> - <iframe src="https://www.youtube.com/embed/22LbYqHwtUQ" frameborder="0" allowfullscreen="true"> </iframe> + <iframe src="https://www.youtube-nocookie.com/embed/22LbYqHwtUQ" frameborder="0" allowfullscreen> </iframe> </figure> The aggregated metrics feature provides insight into the number of data attributes, for example `pseudonymized_user_ids`, that occurred in a collection of events. For example, you can aggregate the number of users who perform multiple actions such as creating a new issue and opening @@ -474,5 +474,5 @@ The following pairing session video gives you an example of an investigation in See the video from: <a href="https://www.youtube.com/watch?v=y_6m2POx2ug">Product Intelligence Office Hours Oct 27th</a> to learn more about the metrics troubleshooting process. </div> <figure class="video-container"> - <iframe src="https://www.youtube.com/embed/y_6m2POx2ug" frameborder="0" allowfullscreen="true"> </iframe> + <iframe src="https://www.youtube-nocookie.com/embed/y_6m2POx2ug" frameborder="0" allowfullscreen> </iframe> </figure> |