diff --git a/README.rst b/README.rst
index 258d6c9..5f8866f 100644
--- a/README.rst
+++ b/README.rst
@@ -14,7 +14,7 @@ The Littlest JupyterHub
    :target: https://the-littlest-jupyterhub.readthedocs.io/en/latest/contributing/index.html
 
 **The Littlest JupyterHub** (TLJH) distribution helps you provide Jupyter Notebooks
-to 1-50 users on a single server.
+to 1-100 users on a single server.
 
 The primary audience are people who do not consider themselves 'system administrators'
 but would like to provide hosted Jupyter Notebooks for their students or users.
diff --git a/docs/topic/installer-actions.rst b/docs/topic/installer-actions.rst
index 21e381d..748086b 100644
--- a/docs/topic/installer-actions.rst
+++ b/docs/topic/installer-actions.rst
@@ -18,10 +18,8 @@ Hub environment
 ===============
 
 JupyterHub is run from a python3 virtual environment located in ``/opt/tljh/hub``. It
-uses the system's installed python and is owned by root. It also contains a ``npm``
-install of `configurable-http-proxy <https://github.com/jupyterhub/configurable-http-proxy>`_
-and a binary install of `traefik <http://traefik.io/>`_. This virtual environment is
-completely managed by TLJH.
+uses the system's installed python and is owned by root. It also contains a binary install 
+of `traefik <http://traefik.io/>`_. This virtual environment is completely managed by TLJH.
 
 User environment
 ================
@@ -60,10 +58,9 @@ hard to access the ``tljh-config`` command used to change most config parameters
 Systemd Units
 =============
 
-TLJH places 3 systemd units on your computer. They all start on system startup.
+TLJH places 2 systemd units on your computer. They all start on system startup.
 
 #. ``jupyterhub.service`` - starts the JupyterHub service.
-#. ``configurable-http-proxy.service`` - starts the nodejs based proxy that is used by JupyterHub.
 #. ``traefik.service`` - starts traefik proxy that manages HTTPS
 
 In addition, each running Jupyter user gets their own systemd unit of the name ``jupyter-<username>``.
diff --git a/docs/troubleshooting/logs.rst b/docs/troubleshooting/logs.rst
index 017b68d..315289f 100644
--- a/docs/troubleshooting/logs.rst
+++ b/docs/troubleshooting/logs.rst
@@ -8,7 +8,7 @@ Looking at Logs
 They contain a forensic record of what individual pieces of software were doing
 before things went bad, and can help us understand the problem so we can fix it.
 
-TLJH collects logs from JupyterHub, Configurable HTTP Proxy, & from each individual
+TLJH collects logs from JupyterHub, Traefik Proxy, & from each individual
 user's notebook server. All the logs are accessible via `journalctl <https://www.freedesktop.org/software/systemd/man/journalctl.html>`_.
 The installer also writes logs to disk, to help with cases where the
 installer did not succeed.
diff --git a/tljh/installer.py b/tljh/installer.py
index 092cec9..5f6a098 100644
--- a/tljh/installer.py
+++ b/tljh/installer.py
@@ -258,18 +258,14 @@ def ensure_user_environment(user_requirements_txt_file):
 
     if conda.check_miniconda_version(USER_ENV_PREFIX, miniconda_new_version):
         conda_version = '4.8.1'
+    elif conda.check_miniconda_version(USER_ENV_PREFIX, miniconda_old_version):
+        conda_version = '4.5.8'
+    # If no prior miniconda installation is found, we can install a newer version
     else:
-        if conda.check_miniconda_version(
-            USER_ENV_PREFIX, miniconda_old_version
-        ):
-            conda_version = '4.5.8'
-        # If no prior miniconda installation is found, we can install a newer version
-        else:
-            logger.info('Downloading & setting up user environment...')
-            with conda.download_miniconda_installer(miniconda_new_version, miniconda_installer_md5) as installer_path:
-                conda.install_miniconda(installer_path, USER_ENV_PREFIX)
-            conda_version = '4.8.1'
-
+        logger.info('Downloading & setting up user environment...')
+        with conda.download_miniconda_installer(miniconda_new_version, miniconda_installer_md5) as installer_path:
+            conda.install_miniconda(installer_path, USER_ENV_PREFIX)
+        conda_version = '4.8.1'
 
     conda.ensure_conda_packages(USER_ENV_PREFIX, [
         # Conda's latest version is on conda much more so than on PyPI.