diff --git a/pages/docs/tutorials/kafka/managing-schemas-using-schema-registry.md b/pages/docs/tutorials/kafka/managing-schemas-using-schema-registry.md
new file mode 100644
index 00000000000..9339e424e7b
--- /dev/null
+++ b/pages/docs/tutorials/kafka/managing-schemas-using-schema-registry.md
@@ -0,0 +1,143 @@
+---
+title: Managing schemas using Schema Registry
+description: A tutorial teaching how to manage schemas using Schema Registry.
+weight: 250
+---
+
+## Introduction
+In the [previous Kafka and Avro configuration tutorial](/docs/tutorials/kafka/configure-kafka-avro), you learned how to add Apache Avro schemas to your AsyncAPI document. Now, you will learn how to save your schema in a central Schema Registry and reuse it.
+
+## Background context
+The need for schema management has become increasingly prevalent to handle the evolving complexity of modern Event-Driven Architecture. A Schema Registry is a centralized service that stores and maintains schemas for data exchanged between various components of a modern distributed system. Validating exchanged data maintains data consistency and compatibility. 
+
+While several Schema Registry implementations exist, you will use the [Apicurio Registry](https://www.apicur.io/registry/) for this tutorial. Apicurio Registry is a popular open-source Schema Registry implementation that supports multiple serialization formats and facilitates schema management for diverse data in distributed systems. You will use Apicurio Registry combined with Avro, a language-neutral data serialization system.
+
+## Prerequisites
+[Install Docker](https://docs.docker.com/engine/install/) from the official website.
+
+## AsyncAPI document with Avro Schema
+The previous tutorial taught you how to write an AsyncAPI document for Kafka messages using the Avro schema. Here's an example of what an AsyncAPI document fully equipped with Avro schema looks like:
+```
+asyncapi: 3.0.0
+info:
+  title: User Signup API
+  version: 1.0.0
+  description: The API notifies you whenever a new user signs up in the application.
+servers:
+  kafkaServer:
+    host: test.mykafkacluster.org:8092
+    description: Kafka Server
+    protocol: kafka
+operations:
+  onUserSignedUp:
+    action: receive
+    channel:
+      $ref: '#/channels/userSignedUp'
+channels:
+  userSignedUp:
+    description: This channel contains a message per each user who signs up in our application.
+    address: user_signedup
+    messages:
+      userSignedUp:
+        $ref: '#/components/messages/userSignedUp'
+components:
+  messages:
+    userSignedUp:
+      payload:
+        schemaFormat: 'application/vnd.apache.avro;version=1.9.0'
+        schema:
+          type: record
+          name: UserSignedUp
+          namespace: com.company
+          doc: User sign-up information
+          fields:
+            - name: userId
+              type: int
+            - name: userEmail
+              type: string
+```
+
+### Start Apicurio Registry
+Start the Apicurio Registry locally with the following docker command:
+   
+```
+docker run --env CORS_ALLOWED_ORIGINS='*' -it -p 8080:8080 apicurio/apicurio-registry-mem:2.5.8.Final
+```
+
+### Upload Avro schema
+Once your local instance of Apicurio Registry is running, upload your Avro schema. Open a new terminal window and create an Avro schema artifact with the following command:
+   
+```
+curl \
+http://localhost:8080/apis/registry/v2/groups/my-group/artifacts \
+-X POST  \
+-H "Content-Type: application/json; artifactType=AVRO" \
+-H "X-Registry-ArtifactId: UserSignedUp" \
+--data @- << EOF
+{
+  "type": "record",
+  "name": "UserSignedUp",
+  "namespace": "com.company",
+  "doc": "User sign-up information",
+  "fields": [
+    {
+      "name": "userId",
+      "type": "int"
+    },
+    {
+      "name": "userEmail",
+      "type": "string"
+    }
+  ]
+}
+EOF
+```
+
+<Remember>
+Download your Avro schema by visiting the following URL: 
+http://localhost:8080/apis/registry/v2/groups/my-group/artifacts/UserSignedUp.
+</Remember>
+
+### Update schema reference
+One alternative is to keep your schema in a separate file, as you learned in the previous tutorial, [describe Kafka message payload using Avro schema](/docs/tutorials/kafka/configure-kafka-avro). After uploading your Avro schema, remove the schema from your AsyncAPI document and add a `$ref` pointing to the previous step's URL.
+```
+$ref: http://localhost:8080/apis/registry/v2/groups/my-group/artifacts/UserSignedUp
+```
+
+```
+asyncapi: 3.0.0
+info:
+  title: User Signup API
+  version: 1.0.0
+  description: The API notifies you whenever a new user signs up in the application.
+servers:
+  kafkaServer:
+    host: test.mykafkacluster.org:8092
+    description: Kafka Server
+    protocol: kafka
+operations:
+  onUserSignedUp:
+    action: receive
+    channel:
+      $ref: '#/channels/userSignedUp'
+channels:
+  userSignedUp:
+    description: This channel contains a message per each user who signs up in our application.
+    address: user_signedup
+    messages:
+      userSignedUp:
+        $ref: '#/components/messages/userSignedUp'
+components:
+  messages:
+    userSignedUp:
+      payload:
+        schemaFormat: 'application/vnd.apache.avro+json;version=1.9.0'
+        schema:
+          $ref: http://localhost:8080/apis/registry/v2/groups/my-group/artifacts/UserSignedUp
+```
+
+## Summary
+In this tutorial, you managed Avro schemas using a centralized schema registry that enables you to share schemas across multiple applications. The good news is that this approach is valid for various other schema types!
+
+## Next steps
+Now that you have learned how to manage schemas, check out the [bindings with Kafka tutorial](/docs/tutorials/kafka/bindings-with-kafka) to start sending messages between your services.