diff --git a/Dockerfile b/Dockerfile
index 90f3f3a..fa510d8 100644
--- a/Dockerfile
+++ b/Dockerfile
@@ -14,12 +14,12 @@
 # limitations under the License.
 # =========================================================================
 
-FROM rocker/r-ver:3.6.3
+FROM rocker/r-ver:4.1.0
 
 LABEL org.label-schema.license="Apache-2.0" \
       org.label-schema.vcs-url="https://github.com/tmobile/r-tensorflow-api" \
       org.label-schema.vendor="T-Mobile" \
-      maintainer="Jacqueline Nolis (GitHub @jnolis)"
+      maintainer="Heather Nolis (GitHub @Nolistic)"
       
 # update some packages, including sodium and apache2, then clean
 RUN apt-get update \
@@ -41,14 +41,12 @@ RUN apt-get update \
 	libsm6  \
 	libxrender1 \
 	bzip2 \
-    apache2 \
     zlib1g-dev \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/ 
 
 # install miniconda, and set the appropriate path variables.
-# install Python 3.7 (Miniconda) and Tensorflow Python packages then set path variables.
-RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py37_4.8.2-Linux-x86_64.sh -O ~/miniconda.sh && \
+RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py39_4.9.2-Linux-x86_64.sh -O ~/miniconda.sh && \
     /bin/bash ~/miniconda.sh -b -p /opt/conda && \
     rm ~/miniconda.sh && \
     /opt/conda/bin/conda clean -tipsy && \
@@ -58,8 +56,7 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py37_4.8.2-Linux
 ENV PATH /opt/conda/bin:$PATH
 
 # install tensorflow and h5py using the pip that links to miniconda (the default pip is for python 2.7)
-RUN /opt/conda/bin/conda install tensorflow==2.0.0 h5py==2.10.0 && \
-    /opt/conda/bin/conda clean -tipsy
+RUN /opt/conda/bin/pip install tensorflow==2.6.0 h5py==3.1.0
 
 # let R know the right version of python to use
 ENV RETICULATE_PYTHON /opt/conda/bin/python
diff --git a/Dockerfile.https b/Dockerfile.https
index 66407a3..cbedee7 100644
--- a/Dockerfile.https
+++ b/Dockerfile.https
@@ -14,12 +14,12 @@
 # limitations under the License.
 # =========================================================================
 
-FROM rocker/r-ver:3.6.3
+FROM rocker/r-ver:4.1.0
 
 LABEL org.label-schema.license="Apache-2.0" \
       org.label-schema.vcs-url="https://github.com/tmobile/r-tensorflow-api" \
       org.label-schema.vendor="T-Mobile" \
-      maintainer="Jacqueline Nolis (GitHub @jnolis)"
+      maintainer="Heather Nolis (GitHub @Nolistic)"
       
 # update some packages, including sodium and apache2, then clean
 RUN apt-get update \
@@ -47,8 +47,7 @@ RUN apt-get update \
     && rm -rf /var/lib/apt/lists/ 
 
 # install miniconda, and set the appropriate path variables.
-# install Python 3.7 (Miniconda) and Tensorflow Python packages then set path variables.
-RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py37_4.8.2-Linux-x86_64.sh -O ~/miniconda.sh && \
+RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py39_4.9.2-Linux-x86_64.sh -O ~/miniconda.sh && \
     /bin/bash ~/miniconda.sh -b -p /opt/conda && \
     rm ~/miniconda.sh && \
     /opt/conda/bin/conda clean -tipsy && \
@@ -58,8 +57,7 @@ RUN wget --quiet https://repo.anaconda.com/miniconda/Miniconda3-py37_4.8.2-Linux
 ENV PATH /opt/conda/bin:$PATH
 
 # install tensorflow and h5py using the pip that links to miniconda (the default pip is for python 2.7)
-RUN /opt/conda/bin/conda install tensorflow==2.0.0 h5py==2.10.0 && \
-    /opt/conda/bin/conda clean -tipsy
+RUN /opt/conda/bin/pip install tensorflow==2.6.0 h5py==3.1.0
 
 # let R know the right version of python to use
 ENV RETICULATE_PYTHON /opt/conda/bin/python
diff --git a/NEWS.md b/NEWS.md
index d705d5e..162c6b4 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,9 @@
+# r-tensorflow-api v1.1.2 - 2021-09-16
+- Updated to R version 4.1.0
+- Upgraded to Python 3.9 and TensorFlow 2.6.0
+- Switched Python packages back to pip to get more recent versions unavailable on conda
+- removed the apache2 dependency from the HTTP version
+
 # r-tensorflow-api v1.1.1 - 2020-05-31
 
 - Updated to R version 3.6.3
diff --git a/README.md b/README.md
index f2d5406..89d806b 100644
--- a/README.md
+++ b/README.md
@@ -2,7 +2,7 @@
 
 [![License](https://img.shields.io/badge/License-Apache%202.0-yellowgreen.svg)](LICENSE)
 
-_(version 1.1.1)_
+_(version 1.1.2)_
 
 This repository creates a production-ready docker image that uses R and the [keras](https://keras.rstudio.com/) and [plumber](https://github.com/trestletech/plumber) R packages to create a neural network powered REST API. The package keras provides the ability to create neural networks, while plumber allows it to run R as a web service. The docker container is designed to be: