From 3483000cfbc58f001bcfe96680a405e02c4be0dd Mon Sep 17 00:00:00 2001 From: GeorgianaElena Date: Wed, 4 Nov 2020 12:20:37 +0200 Subject: [PATCH] Bump memory again for integration tests --- .circleci/integration-test.py | 2 +- docs/howto/admin/resource-estimation.rst | 2 +- docs/install/amazon.rst | 2 +- docs/install/custom-server.rst | 2 +- docs/install/google.rst | 2 +- docs/install/jetstream.rst | 2 +- 6 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.circleci/integration-test.py b/.circleci/integration-test.py index 79ddc84..8ed8330 100755 --- a/.circleci/integration-test.py +++ b/.circleci/integration-test.py @@ -32,7 +32,7 @@ def run_systemd_image(image_name, container_name, bootstrap_pip_spec): # This is the minimum VM size we support. JupyterLab extensions seem # to need at least this much RAM to build. Boo? # If we change this, need to change all other references to this number. - '--memory', '1.15G', + '--memory', '1.5G', ] if bootstrap_pip_spec: diff --git a/docs/howto/admin/resource-estimation.rst b/docs/howto/admin/resource-estimation.rst index b2baed8..3f00a92 100644 --- a/docs/howto/admin/resource-estimation.rst +++ b/docs/howto/admin/resource-estimation.rst @@ -12,7 +12,7 @@ Memory ====== Memory is usually the biggest determinant of server size in most JupyterHub -installations. At minimum, your server must have at least **1.15GB** of RAM +installations. At minimum, your server must have at least **1.5GB** of RAM for TLJH to install. .. math:: diff --git a/docs/install/amazon.rst b/docs/install/amazon.rst index 68dd58e..3707729 100644 --- a/docs/install/amazon.rst +++ b/docs/install/amazon.rst @@ -79,7 +79,7 @@ Let's create the server on which we can run JupyterHub. `Next: Configure Instance Details` in the lower right corner. Check out our guide on How To :ref:`howto/admin/resource-estimation` to help pick - how much Memory / CPU your server needs. You need to have at least **1.15GB** of + how much Memory / CPU your server needs. You need to have at least **1.5GB** of RAM. You may wish to consult the listing `here `_ diff --git a/docs/install/custom-server.rst b/docs/install/custom-server.rst index b14edcd..d7c579b 100644 --- a/docs/install/custom-server.rst +++ b/docs/install/custom-server.rst @@ -32,7 +32,7 @@ Pre-requisites #. Some familiarity with the command line. #. A server running Ubuntu 18.04 where you have root access. -#. At least **1.15GB** of RAM on your server. +#. At least **1.5GB** of RAM on your server. #. Ability to ``ssh`` into the server & run commands from the prompt. #. A **IP address** where the server can be reached from the browsers of your target audience. diff --git a/docs/install/google.rst b/docs/install/google.rst index 5816f71..4b5ae0c 100644 --- a/docs/install/google.rst +++ b/docs/install/google.rst @@ -69,7 +69,7 @@ Let's create the server on which we can run JupyterHub. #. For **Zone**, pick any of the options. Leaving the default as is is fine. #. Under **Machine** type, select the amount of CPU / RAM / GPU you want for your - server. You need at least **1.15GB** of RAM. + server. You need at least **1.5GB** of RAM. You can select a preset combination in the default **basic view**. diff --git a/docs/install/jetstream.rst b/docs/install/jetstream.rst index 92ea2c7..470fc21 100644 --- a/docs/install/jetstream.rst +++ b/docs/install/jetstream.rst @@ -53,7 +53,7 @@ Let's create the server on which we can run JupyterHub. #. Give your server a descriptive **Instance Name**. #. Select an appropriate **Instance Size**. We suggest m1.medium or larger. - Make sure your instance has at least **1.15GB** of RAM. + Make sure your instance has at least **1.5GB** of RAM. Check out our guide on How To :ref:`howto/admin/resource-estimation` to help pick how much Memory, CPU & disk space your server needs.