From edb09bbfc535a4f8bf4172f8b7e4b92fe2b2dc92 Mon Sep 17 00:00:00 2001
From: ajanikow <12255597+ajanikow@users.noreply.github.com>
Date: Fri, 24 May 2024 08:07:54 +0000
Subject: [PATCH] Update Documentation for Release

---
 CHANGELOG.md                 |  2 ++
 docs/gae-resource.md         | 12 ++++++++++++
 docs/mlextension-resource.md | 19 ++++++-------------
 3 files changed, 20 insertions(+), 13 deletions(-)
 create mode 100644 docs/gae-resource.md

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 8bdb106ee..59f95a18a 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -1,6 +1,8 @@
 # Change Log
 
 ## [master](https://github.com/arangodb/kube-arangodb/tree/master) (N/A)
+
+## [1.2.41](https://github.com/arangodb/kube-arangodb/tree/1.2.41) (2024-05-24)
 - (Maintenance) Bump Prometheus API Version
 - (Bugfix) Prevent unexpected rotation in case of SecurityContext change
 - (Bugfix) Ensure PDB is created
diff --git a/docs/gae-resource.md b/docs/gae-resource.md
new file mode 100644
index 000000000..124d9fe6b
--- /dev/null
+++ b/docs/gae-resource.md
@@ -0,0 +1,12 @@
+---
+layout: page
+parent: Custom resources overview
+title: GraphAnalyticsEngine
+---
+
+# GraphAnalyticsEngine Custom Resource
+
+
+#### Enterprise Edition only
+
+[Full CustomResourceDefinition reference ->](./api/GraphAnalyticsEngine.V1Alpha1.md)
diff --git a/docs/mlextension-resource.md b/docs/mlextension-resource.md
index 55c6c3677..cc3667195 100644
--- a/docs/mlextension-resource.md
+++ b/docs/mlextension-resource.md
@@ -9,7 +9,7 @@ title: ArangoMLExtension
 
 #### Enterprise Edition only
 
-[Full CustomResourceDefinition reference ->](./api/ArangoMLExtension.V1Alpha1.md)
+[Full CustomResourceDefinition reference ->](./api/ArangoMLExtension.v1beta1.md)
 
 
 You can spin up the [ArangoML](https://github.com/arangoml) engine on existing ArangoDeployment.
@@ -29,7 +29,7 @@ If you don't have one yet, consider checking [kube-arangodb installation guide](
   - Create Kubernetes Secret containing CA certificates to validate connection to endpoint if your Minio installation uses encrypted connection. The secret data should contain two fields: `ca.crt` and `ca.key` (both PEM-encoded).
   - Create ArangoMLStorage resource. Example:
   ```yaml
-    apiVersion: ml.arangodb.com/v1alpha1
+    apiVersion: ml.arangodb.com/v1beta1
     kind: ArangoMLStorage
     metadata:
       name: myarangoml-storage
@@ -50,7 +50,7 @@ If you don't have one yet, consider checking [kube-arangodb installation guide](
 3) Create `ArangoMLExtension` CR. The name of extension **must** be the same as the name of `ArangoDeployment` and it should be created in the same namespace. 
   Assuming you have ArangoDeployment with name `myarangodb`, create CR:
   ```yaml
-    apiVersion: ml.arangodb.com/v1alpha1
+    apiVersion: ml.arangodb.com/v1beta1
     kind: ArangoMLExtension
     metadata:
       name: myarangodb
@@ -59,16 +59,9 @@ If you don't have one yet, consider checking [kube-arangodb installation guide](
         name: myarangoml-storage # name of the ArangoMLStorage created on the previous step
       deployment:
         # you can add here: tolerations, nodeSelector, nodeAffinity, scheduler and many other parameters. See full CRD reference for details.
-        replicas: 1 # by default only one pod is running which contains containers for each component (prediction, training, project). You can scale it up or down.
-        prediction: 
-          image: <prediction-image>
-          # you can configure various parameters for container running this component here. See full CRD reference for details.
-        project:
-          image: <projects-image>
-          # you can configure various parameters for container running this component here. See full CRD reference for details.
-        training:
-          image: <training-image>
-          # you can configure various parameters for container running this component here. See full CRD reference for details.
+        replicas: 1 # by default only one pod is running which contains containers for api. You can scale it up or down.
+        image: <api-image>
+        # you can configure various parameters for container running this component here. See full CRD reference for details.
       init: # configuration for Kubernetes Job running initial bootstrap of ArangoML for your cluster.
         image: <init-image>
         # you can add here: tolerations, nodeSelector, nodeAffinity, scheduler and many other parameters. See full CRD reference for details.