diff --git a/docs/source/examples/best-practices.rst b/docs/source/examples/best-practices.rst
index 76d3701f..b89cefd7 100644
--- a/docs/source/examples/best-practices.rst
+++ b/docs/source/examples/best-practices.rst
@@ -44,8 +44,8 @@ We also recommend allocating most, though not all, of the GPU memory space. We d
 
 Additionally, when using `Accelerated Networking`_ , we only need to register a single IPC handle for the whole pool (which is expensive, but only done once) since from the IPC point of viewer there's only a single allocation. As opposed to just using RMM without a pool where each new allocation must be registered with IPC.
 
-Spilling from Device
-~~~~~~~~~~~~~~~~~~~~
+Memory Spilling
+~~~~~~~~~~~~~~~
 
 Dask-CUDA offers several different ways to enable automatic spilling from device memory.
 The best method often depends on the specific workflow. For classic ETL workloads using