[Docs] Add ML-11468 to open issues (#9167) [1.10.x] (#9176)

jillnogold · web-flow · commit b39d4d77a756 · 2026-01-08T09:37:35.000+02:00
### 📝 Description
diff --git a/docs/change-log/index.md b/docs/change-log/index.md
@@ -1445,6 +1445,7 @@ with a drill-down to view the steps and their details. [Tech Preview]
 |ML-11463|The application graph in the model monitoring UI does not present the “dead zones” where no activity happened, and the time axis representation is not consistent.|NA|v1.10.0|
 |ML-11654|MLRun serving graphs with HTTP trigger and no responder. When a serving function is configured with an HTTP trigger only and the graph does not include any `.respond()` step, the function does not return the actual result or error of the graph execution. Instead, it only returns a generic invocation ID (for example, {"id": "<uuid>"}), even if an exception occurred inside the graph.|Add a `.respond()` step.|v1.10.0|
 |ML-11771|In rare circumstances, access to projects is temporarily unavailable.|Restart MLRun.|V1.9.2|
+|ML-11468|A rare race-condition exists in the pagination mechanism, where concurrently issuing two paginated query requests for the same resource and with the exact same parameters (for example, asking to list functions for the same project with same filters and order type) at the exact same time may result in one of these requests receiving an MLRunConflictError response.|Reissue the same request. |v1.10.1|
 
 
 ## Limitations
diff --git a/docs/tutorials/01-mlrun-basics.ipynb b/docs/tutorials/01-mlrun-basics.ipynb
@@ -47,7 +47,7 @@
     "<a id=\"install\"></a>\n",
     "## Install MLRun\n",
     "\n",
-    "MLRun has a backend service that can run locally or over Kubernetes (preferred). See the instructions for installing it [over Kubernetes Cluster](https://docs.mlrun.org/en/stable/install/kubernetes.html). Alternatively, you can use Iguazio's [managed MLRun service](https://www.iguazio.com/docs/latest-release/).\n",
+    "MLRun has a backend service that can run locally or over Kubernetes (preferred). See the instructions for installing it [over Kubernetes Cluster](https://docs.mlrun.org/en/latest/install-mlrun-ce/kubernetes-install.html). Alternatively, you can use Iguazio's [managed MLRun service](https://www.iguazio.com/docs/latest-release/).\n",
     "\n",
     "**Before you start, make sure the MLRun client package is installed and configured properly:**\n",
     "\n",
@@ -110,7 +110,7 @@
     "<a id=\"set-env\"></a>\n",
     "### Configure the client environment\n",
     "\n",
-    "MLRun client connects to the local or remote MLRun service/cluster using a REST API. To configure the service address, credentials, and default settings, you use the `mlrun.set_environment()` method, or environment variables, (see details in [Set up your client environment](https://docs.mlrun.org/en/stable/install/remote.html).)\n",
+    "MLRun client connects to the local or remote MLRun service/cluster using a REST API. To configure the service address, credentials, and default settings, you use the `mlrun.set_environment()` method, or environment variables, (see details in [Set up your client environment](https://docs.mlrun.org/en/latest/setup-guide.html).)\n",
     "\n",
     "You can skip this step when using MLRun Jupyter notebooks or Iguazio's managed notebooks."
    ]
