Closes #2014

Author: michaelklishin

blog/2024-03-11-rabbitmq-3.13.0-announcement/index.md

@@ -22,7 +22,7 @@ will be 4.0!
 ## Experimental Support For Khepri (Mnesia Replacement)
 
 Apart from the new features mentioned in the first paragraph, RabbitMQ 3.13
-includes experimental support for [Khepri](https://www.youtube.com/watch?v=whVqpgvep90). Khepri is a new storage backend for
+includes experimental support for [Khepri](https://github.com/rabbitmq/khepri). Khepri is a new storage backend for
 RabbitMQ metadata that is designed to replace Mnesia. It is not yet ready for
 production use but we encourage users to try it out in test environments and
 provide feedback.

docs/feature-flags/index.md

@@ -344,7 +344,7 @@ The following feature flags are provided by RabbitMQ core.
     <td>khepri_db</td>
     <td>
       <p>
-      Enables <a href="https://www.youtube.com/watch?v=whVqpgvep90">Khepri</a>, a currently experimental schema data store
+      Enables <a href="https://github.com/rabbitmq/khepri">Khepri</a>, a currently experimental schema data store
       with vastly superior peer failure and network split handling characteristics
       compared to Mnesia
       </p>

versioned_docs/version-3.13/feature-flags/index.md

@@ -344,7 +344,7 @@ The following feature flags are provided by RabbitMQ core.
     <td>khepri_db</td>
     <td>
       <p>
-      Enables <a href="https://www.youtube.com/watch?v=whVqpgvep90">Khepri</a>, a currently experimental schema data store
+      Enables <a href="https://github.com/rabbitmq/khepri">Khepri</a>, a currently experimental schema data store
       with vastly superior peer failure and network split handling characteristics
       compared to Mnesia
       </p>

versioned_docs/version-3.13/whats-new.md

@@ -62,7 +62,7 @@ latency and memory footprint.
 
 <KhepriLogo className="floating-logo"/>
 
-[Khepri](https://www.youtube.com/watch?v=whVqpgvep90) is a new storage backend
+[Khepri](https://github.com/rabbitmq/khepri) is a new storage backend
 for RabbitMQ metadata that is designed to replace Mnesia. It is not yet *ready
 for production use* but we encourage users to try it out in test environments
 and provide feedback.