diff --git a/spark-pyspark-kafka/Dockerfile b/spark-pyspark-kafka/Dockerfile
index 9e25e3b..35067f0 100644
--- a/spark-pyspark-kafka/Dockerfile
+++ b/spark-pyspark-kafka/Dockerfile
@@ -3,7 +3,7 @@
 # the same underlying infrastructure. It’s still just as easy to set up
 # and run the various services via Docker Compose.
 
-FROM python:3.6-slim-buster as python-base
+FROM python:3.11-slim-buster as python-base
 # I originally used python:3.6-alpine but dropped it after getting tied
 # in knots with Python dependencies around numpy. Pip under Alpine builds
 # all modules from source. You can try to be clever and install the bigger
@@ -35,18 +35,20 @@
     GRAPHFRAMES_MIRROR="https://repos.spark-packages.org" \
     KAFKA_MIRROR="https://archive.apache.org/dist" \
     # Spark
-    SPARK_VERSION="2.4.8" \
+    SPARK_MAJOR_VERSION="3.2" \
+    SPARK_MINOR_VERSION="4" \
     HADOOP_VERSION="2.7" \
     SPARK_INSTALL="/usr/local" \
     SPARK_HOSTNAME="localhost" \
     SPARK_MASTER_PORT="7077" \
     SPARK_MASTER_WEBUI_PORT="8080" \
+    # Scala
+    SCALA_VERSION="2.12" \
     # graphframes
-    GRAPHFRAMES_VERSION="0.8.1-spark2.4-s_2.11" \
+    GRAPHFRAMES_VERSION="0.8.2" \
     # Kafka
     KAFKA_INSTALL="/usr/local" \
-    KAFKA_VERSION="2.2.2" \
-    SCALA_VERSION="2.11" \
+    KAFKA_VERSION="3.5.1" \
     # PySpark
     PYSPARK_KERNEL_NAME="PySpark" \
     PYSPARK_PYTHON="/usr/local/bin/python" \
@@ -57,6 +59,7 @@
 # can't reference prior environment variables in the same ENV block.
 ENV \
     # Spark
+    SPARK_VERSION="$SPARK_MAJOR_VERSION.$SPARK_MINOR_VERSION" \
     SPARK_HOME="$SPARK_INSTALL/spark" \
     SPARK_MASTER="spark://$SPARK_HOSTNAME:$SPARK_MASTER_PORT" \
     # Kafka
@@ -72,7 +75,8 @@
 # builder-base is used to build dependencies
 FROM python-base as builder-base
 
-ARG BUILD_PACKAGES="wget gnupg software-properties-common apt-transport-https"
+ARG BUILD_PACKAGES="wget gnupg software-properties-common apt-transport-https gcc python-dev"
+# need gcc, python-dev to build psutil (dependency of something in the pip install)
 
 ENV PATH="${VENV_PATH}/bin:$PATH"
 
@@ -94,7 +98,7 @@
     ln -s spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION spark && \
     # Download and install graphframes
     cd $SPARK_INSTALL/spark/jars && \
-    wget -q --show-progress --progress=bar:force:noscroll $GRAPHFRAMES_MIRROR/graphframes/graphframes/$GRAPHFRAMES_VERSION/graphframes-$GRAPHFRAMES_VERSION.jar 2>&1 ; \
+    wget -q --show-progress --progress=bar:force:noscroll $GRAPHFRAMES_MIRROR/graphframes/graphframes/$GRAPHFRAMES_VERSION-spark$SPARK_MAJOR_VERSION-s_$SCALA_VERSION/graphframes-$GRAPHFRAMES_VERSION-spark$SPARK_MAJOR_VERSION-s_$SCALA_VERSION.jar 2>&1 ; \
     # Download, install, and symlink Kafka
     cd $SPARK_INSTALL && \
     wget -q --show-progress --progress=bar:force:noscroll $KAFKA_MIRROR/kafka/$KAFKA_VERSION/kafka_$SCALA_VERSION-$KAFKA_VERSION.tgz 2>&1 && \
@@ -110,7 +114,8 @@
 
 COPY --from=builder-base $VENV_PATH $VENV_PATH
 
-ENV PATH="${VENV_PATH}/bin:$PATH"
+ENV PATH="${VENV_PATH}/bin:$PATH" \
+    PYTHONSTARTUP="$SPARK_HOME/python/pyspark/startup.py"
 
 COPY --from=builder-base $SPARK_INSTALL/spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION $SPARK_INSTALL/spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION
 COPY --from=builder-base $SPARK_INSTALL/kafka_$SCALA_VERSION-$KAFKA_VERSION $SPARK_INSTALL/kafka_$SCALA_VERSION-$KAFKA_VERSION
@@ -121,10 +126,11 @@
 RUN cd $SPARK_INSTALL && \
     ln -s spark-$SPARK_VERSION-bin-hadoop$HADOOP_VERSION spark && \
     ln -s kafka_$SCALA_VERSION-$KAFKA_VERSION kafka && \
-    apt-get update && apt-get install -y --no-install-recommends temurin-8-jdk tini && \
+    apt-get update && apt-get install -y --no-install-recommends temurin-11-jdk tini procps && \
+    pip install findspark && \
     ipython kernel install --name "$PYSPARK_KERNEL_NAME" && \
     # Clean up some crap, like the 50MB of JDK source and various documentation.
-    rm -rf /usr/lib/jvm/temurin-8-jdk-amd64/src.zip /usr/lib/jvm/temurin-8-jdk-amd64/sample /usr/lib/jvm/temurin-8-jdk-amd64/man && \
+    rm -rf /usr/lib/jvm/temurin-11-jdk-amd64/src.zip /usr/lib/jvm/temurin-11-jdk-amd64/sample /usr/lib/jvm/temurin-11-jdk-amd64/man && \
     rm -rf $SPARK_HOME/examples $KAFKA_HOME/site-docs && \
     # Clear out as many caches as possible.
     apt -y --purge autoremove && \
@@ -139,6 +145,7 @@
 
 # Startup scripts
 COPY start-master.sh start-worker.sh start-jupyter.sh start-kafka.sh /usr/local/bin/
+#COPY startup.py $SPARK_HOME/python/pyspark
 
 # Configuration files
 COPY spark-defaults.conf $SPARK_HOME/conf
@@ -146,7 +153,7 @@
 
 # PySpark kernel, based on the template from
 # <https://github.com/Anchormen/pyspark-jupyter-kernels>.
-COPY kernel.json $KERNELS_DIR_PATH/$PYSPARK_KERNEL_NAME/
+COPY kernel.new.json $KERNELS_DIR_PATH/$PYSPARK_KERNEL_NAME/kernel.json
 
 # Spark doesn't seem to respond directly to SIGTERM as the exit status is
 # for SIGKILL (137), after a pause. Presumably docker compose down times out.