Merge pull request #210 from plasmabio/update-resource-monitoring

Update resource monitoring in documentation

.gitignore

@@ -22,6 +22,7 @@ volumes/
 # the Ansible file
 ansible/hosts*
 ansible/users-config.yml
+ansible/*.csv
 
 # local TLJH config used for testing
 config.yaml

docs/configuration/batch-users.md

@@ -1,13 +1,13 @@
 (batch-users)=
 
-# Creating users in batches
+# Creating and deleting users in batches
 
 The {ref}`install-users` section details how to create the initial list of users.
 
 However in some cases it is useful to have a more automated way to create (and delete) users
 in batches. For example when preparing and cleaning up a group of students at the beginning and end of a semester.
 
-This section details how to create users defined in a CSV file using Ansible Playbooks.
+This section details how to create and delete users defined in a CSV file using Ansible Playbooks.
 
 ## Creating the CSV File
 
@@ -33,24 +33,19 @@ stu-megm1-10,QjhalcW9Uq5wxo,megm1
 Since the fields in the CSV file are delimited by commas, passwords should not contain any `,` character.
 ````
 
-## Running the playbooks
+## Running the playbook to create users
 
 To create the users, go to the `ansible/` folder and run the `student-create.yml` playbook with:
 
 ```sh
 ansible-playbook student-create.yml -u ubuntu -e "studentdef=students.csv"
 ```
 
-It is also possible to delete the users from the same CSV definition, using the `student-remove.yml` playbook:
-
-```sh
-ansible-playbook student-remove.yml -u ubuntu -e "studentdef=students.csv"
-```
 
 ````{note}
 It is possible to pass additional parameters when creating users in batches.
 
-For example if you have a file defining disk quotas for a group of students:
+For example if you have a file `students-config.yml` defining disk quotas for a group of students:
 
 ```yaml
 # default quotas for students
@@ -61,7 +56,24 @@ quota:
 
 You can run the playbook and reference that extra file:
 
-```bash
+```sh
 ansible-playbook student-create.yml -u ubuntu -e "studentdef=students.csv" -e @students-config.yml
 ```
+````
+
+
+## Running the playbook to delete users
+
+To delete users, go to the `ansible/` folder and run the `student-remove.yml` playbook with:
+
+```sh
+ansible-playbook student-remove.yml -u ubuntu -e "studentdef=students.csv"
+```
+
+````{warning}
+You need to provide the exact same CSV file you used to create users in the first place.
+````
+
+````{warning}
+Please note that user home directories are deleted.
 ````

docs/configuration/resources.md

@@ -1,6 +1,6 @@
 # Resources
 
-Plasma provides default values to limit the Memory and CPU usage.
+Plasma provides default values to limit the memory and CPU usage.
 
 ## Memory
 
@@ -19,7 +19,7 @@ Users can monitor their memory usage using the indicator in the top bar area if
 
 ## CPU
 
-By default Plasma sets a limit of `2 cpus` for each user server.
+By default Plasma sets a limit of `2 CPUs` for each user server.
 
 This limit is enforced by the operating system, which throttles access to the CPU by the processes running in the
 Docker container.
@@ -37,13 +37,11 @@ Users can monitor their CPU usage using the indicator in the top bar area if the
 
 ## Displaying the indicators
 
-To enable the Memory and CPU indicators as shown above, the following dependencies must be added to the user environment:
+To enable the memory and CPU indicators as shown above, the following dependencies must be added to the user environment:
 
-- `nbresuse`
-- `jupyterlab-topbar-extension`
+- `jupyter-resource-usage`
+- `jupyterlab-topbar`
+- `jupyterlab-topbar-text`
 - `jupyterlab-system-monitor`
 
-As an example, checkout the following two links:
-
-- [Adding nbresuse](https://github.com/plasmabio/template-python/blob/a4edf334c6b4b16be3a184d0d6e8196137ee1b06/environment.yml#L9)
-- [Adding the JupyterLab extensions](https://github.com/plasmabio/template-python/blob/a4edf334c6b4b16be3a184d0d6e8196137ee1b06/postBuild#L4-L5)
+As an example, checkout this [template](https://github.com/plasmabio/template-python/blob/master/binder/environment.yml) for a Python environment.