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Globus

Globus is a fast, reliable file transfer service that makes it easy for users to move data between two GridFTP servers or between a GridFTP server and a user's machine (Windows, Mac or Linux). It is increasingly used by researchers to transfer large data sets because it provides faster and more reliable transfers than previous methods.

For a quick intro to Globus take a look at Globus for newbies.

Historic Globus Setup

There are currently two EC2 Servers serving up the exact same globus structure. Need to find out why that is... Current Globus collections for dataspace

Endpoint

There is a single globus enpoint: Princeton Data Repository Endpoint

Storage gateways

Storage gateways are created and configured in Globus (not in AWS). There are currently four storage gateways:

  • Princeton DSS Gateway - S3 Gateway dss-server-data3 (defunct)
  • Princeton Dataspace Posix Gateway - POSIX Gateway (defunct)
  • Princeton Dataspace s3 Gateway - S3 Gateway prds-globus
  • Princeton Research Data Dataspace Gateway - S3 Gateway prds-dataspace

Collections

There are currently six collections:

Note: There seem to be collections for PDC, DSS, Dataspace and the POSIX collection. We should figure out what these collections are all for...

Monitoring

Our globus endpoints are being monitored by Honey Badger and Monit Additional sites can be configured for monitoring by adding the sites GCS Manager URL to honey badger.

Determining the GCS Manager URL

You must be on VPN to ssh onto the Globus EC2 instances

  1. To access the aws console first got to https://princeton.edu/aws and log in
  2. Access the EC2 instances to view the public IP address for the endpoint you would like to monitor
  3. SSH onto the EC2 instance by runnning pulsys@<public ip address>
  4. On the EC2 server run globus-connect-server endpoint show. This will display the GCS Manager URL

Adding a new URL to Honey Badger

A new URL once it is determined via the steps above can be added to Honey Badger by:

  1. visiting Honey Badger
  2. click Add uptime check
  3. fill in the Name appropriately for the endpoint
  4. fill in the url with <GCS Manager URL>/api/info
  5. Choose Page includes string from match type
  6. Fill in Match with "code":"success"
  7. Click Save Changes

Princeton Data Commons (PDC) Globus Setup

Our globus setup consists of four globus collections connected to three s3 buckets on two globus endpoints.

We are creating a separate Endpoint and EC2 instance to make sure that Upload does not impact download/ deposit and vice versa. We also believe this might scale better into the future.

  graph LR;
      S31[("Precuration S3 (private) [pdc-describe-*-precuration]")]-->SG1
         S32[("Postcuration S3 (private)  [pdc-describe-*-postcuration]")]-->SG2
      S33[("Deposit S3 (private)  [pdc-describe-deposit]")]-->SG3
      subgraph project ["Princeton Data Commons * Project for Staging or Production"]
      subgraph project_space [" "]
      style project fill:#fff,stroke:#000,stroke-width:4px,color:#000,stroke-dasharray: 5 5
      style project_space fill:#fff,stroke:#000,stroke-width:0px
         subgraph EC2 ["Precuration EC2  [pdc-globus-*-precuration]]"]
         subgraph ec2_sp [" "]
            subgraph "PreCuration Globus Endpoint [pdc precuration]]"
               SG1[["Precuration Storage Gateway [pdc s3 storage gateway precuration]"]]-->B(["Pre Curation Collection (private) [Princeton Data Commons * Precuration]"])
            end
         end
         end
         subgraph EC2a ["Postcuration EC2 [pdc-globus-*-postcuration]]"]
         subgraph ec2a_sp [" "]
            subgraph "Postcuration Globus Endpoint [pdc postcuration]]"
               SG2[["Post Curation Storage Gateway [pdc s3 storage gateway postcuration]"]]-->D(["Curation Collection(curator only read/write) [Princeton Data Commons * Postcuration]"]);
               SG2-->E(["Public Guest Globus Collection (public read) [Princeton Data Commons *]"]);
            end
         end
         end
         subgraph EC2b ["Deposit EC2 [pdc-globus-deposit]]"]
         subgraph ec2b_sp [" "]
            subgraph "Deposit Globus Endpoint [pdc deposit]]"
               SG3[["Deposit Storage Gateway [pdc s3 storage gateway deposit]"]]-->DE(["Curation Collection(curator controlled read/write) [Princeton Data Commons Deposit]"]);
            end
         end
         end
      end
   end

   classDef ecclass fill:#00f,stroke:#00f,stroke-width:0px,color:#fff;
   class EC2,EC2a,EC2b,ec2_sp,ec2a_sp,ec2b_sp ecclass;
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Pre Curation collections should be private (Not show up in the collections search on globus) Postcuration guest collection - Should be public

  • There should be two globus endpoints for each environment (staging & prod) and a deposit endpoint

    • staging
      • pdc precuration
      • pdc postcuration
    • prod
      • pdc precuration
      • pdc postcuration
    • pdc deposit

  • The globus endpoints should exist on five separate EC2 instances

    • staging
      • pdc-globus-staging-precuration
      • pdc-globus-staging-postcuration
    • prod
      • pdc-globus-prod-precuration
      • pdc-globus-prod-postcuration
    • deposit
      • pdc-globus-deposit

  • There will be two s3 buckets for each environment and a deposit bucket

    • staging
      • pdc-describe-staging-precuration
      • pdc-describe-staging-postcuration
    • prod
      • pdc-describe-prod-precuration
      • pdc-describe-prod-postcuration
    • deposit
      • pdc-describe-deposit

  • Each bucket will have a storage gateway attached to the correct globus endpoint

    • staging
      • pdc s3 storage gateway precuration
      • pdc s3 storage gateway postcuration
    • prod
      • pdc s3 storage gateway precuration
      • pdc s3 storage gateway postcuration
    • deposit
      • pdc s3 storage gateway deposit

  • Each storage gateway will have a mapped collection

    • staging
      • Princeton Data Commons Staging Precuration
      • Princeton Data Commons Staging Postcuration
    • prod
      • Princeton Data Commons Precuration
      • Princeton Data Commons Postcuration
    • deposit
      • Princeton Data Commons Deposit

  • Each Mapped post-curation collection will have a guest collection attached to the corresponding mapped collection. This will give public read access to the post-curated data in Globus.

    • staging
      • Princeton Data Commons Staging
    • prod
      • Princeton Data Commons

Data management

pre-curation

Our Pre-Curation Globus instance is for research data that has not yet gone through curation. It should have a DOI that matches the draft one created by PDC Describe.

Our legacy Globus instance does not have the concept of pre curated data sets.

post-curation

Our Globus post curation instance is for research data that has gone through curation. Because it has gone through curation, it will always have a DOI, and it is organized under its DOI number.

Data is stored in S3 buckets. We are in the process of building a new Globus production system. (Project plan here.)

Our legacy Globus instance has its data in an S3 bucket called prds-dataspace. Our new PDC branded globus instance will have its data in a bucket called pdc-globus-prod.

Account setup

In order to help maintain our Globus infrastructure you'll need an AWS account with the right permission. See the onboarding documentation for how to set that up.

Contacting Globus for support

To contact globus for support either email them (SUPPORT@GLOBUS.ORG), or contact them via their Help Page

When using the Help page click "Check Support Ticket Status". You'll need to create an account on their support system (zendesk). You can submit tickets and keep track of them via this option. You can also include attachments. Try to request that Francis is added to the thread when you submit a support ticket.

It is helpful to include the output of globus-connect-server self-diagnostic in the ticket to Globus.

See also Globus Troubleshooting.

Configuring Globus

Prequisites

Global Setup

This section documents steps that were taken to setup items that will be utilized in the following sections like the service account and the Amazon Machine Instance (AMI). They do not need to be run to set up each Globus Endpoint

Creating a Princeton service account

In the event that a Princeton service account needs to be created, please refer to these steps:

Setting up Princeton service account

Creating the ami (Not needed each time)

  1. run packer build aws-globus.pkr.hcl from the vm-buids directory on your local machine
  2. see your new ami in AWS

Setting up a Globus Project

Note This section is untested

  1. Go to developers.globus.org, sign in as rdss-globus TODO does rdss-globus have this ability??
  2. Click on Register a new Globus Connect Server v5
  3. Click Add another project

Making a new S3 bucket

To make a new S3 bucket with a copy of the PDC Globus data:

  1. To access the aws console first got to https://princeton.edu/aws and log in

  2. Then access https://s3.console.aws.amazon.com/s3/buckets?region=us-east-1# for the s3 buckets

  3. Click create new bucket

  4. Name the bucket For PDC describe the name should be one of the five choices below:

    • pdc-describe-staging-precuration
    • pdc-describe-staging-postcuration
    • pdc-describe-prod-precuration
    • pdc-describe-prod-postcuration
    • pdc-describe-deposit

  5. Under Copy settings from existing bucket choose pdc-describe-staging-precuration (assumes it has been set up)

  6. Under Object Ownership choose enable ACLs

  7. click Create Bucket

  8. click Properties tab on the bucket you just created

  9. Enable Versions

    1. click on the Edit button to the far right of Bucket Versioning section
    2. choose Enable and click on Save
    3. click Management tab
    4. click on Create lifecycle rule
    5. Fill in Remove old deleted versions for the name
    6. choose Apply to all objects in the bucket
    7. check I acknowledge...
    8. check Permanently delete noncurrent versions of objects
    9. check Delete expired object delete markers or incomplete multipart uploads
    10. Fill in 30 (14 for deposit) in Days after objects become noncurrent
    11. check Delete expired object delete markers
    12. check Delete incomplete multipart uploads
    13. Fill in 14 in Number of days
    14. Click on Create Rule

  10. (Optionally) Copy the data using the aws cli: aws s3 sync s3://prds-dataspace s3://pdc-globus-prod

    Note: that the copy will take about five hours.

Enabling SHA-256 checksums automatically on upload

  1. Download https://github.com/pulibrary/pdc_describe/blob/main/s3-checksum.yaml to your local machine OR if you have PDC Describe cloned to your machine use it there.
  2. Visit princeton.edu/aws to login to AWS
  3. then visit the AWS Stacks
  4. Click on Create Stack and choose with new resources from the drop down
  5. Choose Upload a template file and select the file from step 1
  6. Click Next
  7. Specify a name like prod-precuration-sha-256-checksum which includes the name of the bucket this stack will apply to
  8. Specify the bucket for example: pdc-describe-prod-precuration
  9. Click Next
  10. Leave defaults in place on the next page and click Next
  11. Acknowledge that this gives the stack access to the data Screenshot 2023-06-23 at 11 55 19 AM
  12. Click Submit
  13. Wait until you see CREATE_COMPLETE in the events tab
  14. Click on the Resources tab
  15. Click on the link next to ChecksumLambdaRole (which will open a new window)
  16. Click on "Add Permission" and select "Create inline policy"
  17. Choose S3 from the Service section
  18. Click All S3 actions (s3:*) in the Actions section
  19. Choose s3 bucket in the resources and put in your bucket name
  20. Click Review Policy at the bottom
  21. Fill in Allow-S3-Access in the Name
  22. Click on Create Policy
  23. Close the window that was opened
  24. In the Stack Window on your new Stack Click on the Resources tab and make note of the Physical ID of the ChecksumLambdaFunction (You will need it below) For example sha-256-checksum-precuratio-ChecksumLambdaFunction-IsK4yDcshh1C
  25. Go to your bucket (specified above)
  26. Click on properties (https://s3.console.aws.amazon.com/s3/buckets/pdc-describe-staging-precuration?region=us-east-1&tab=properties)
  27. Scroll down to Event Notifications and click Create event notification
  28. Fill in event name with Create SHA256 on Upload
  29. Choose All object create events under Event Types
  30. Under Destination choose Lambda function
  31. fill in the lambda function Physical ID you just created ex sha-256-checksum-precuratio-ChecksumLambdaFunction-IsK4yDcshh1C and sleect the arn
  32. Test the lambda by uploading a file to the bucket

Creating the AWS EC2 instance from AMI

  1. In princeton-ansible check the group_vars/globus/common.yml to make sure the image_id matches the ami you either created or are using

  2. Run the playbook with either staging (default) or production (-e runtime_env=production). For example the command below will create a staging EC2 instance named pdc-globus-staging

    ansible-playbook playbooks/aws_ec2.yml -e ec2_name=<name>

    should be one of the following:

    • pdc-globus-staging-precuration
    • pdc-globus-staging-postcuration
    • pdc-globus-prod-precuration
    • pdc-globus-prod-postcuration

  3. To access the aws console first go to AWS login

  4. See your new instance in AWS Note the IP address you will need it to configure Globus in following steps

  5. Create the Elastic IP

Configure Globus Connect Server

To register a Globus Endpoint do the following:

  1. Go to developers.globus.org, sign in as rdssglobus

  2. Add a new Globus Connect Server and fill out the form in the Princeton Data Commmons Production or Princeton Data Commmons Staging Projects.

    1. Type in the new name The name should be one of the following:
      • PDC Precuration
      • PDC Postcuration
    2. click Register Globus Connect Server

  3. Generate a client secret. Be ready to save the value off, you will only see it once.

    1. Click Generate a New Client Secret within the new section on the website created by the step above
    2. Fill in the description of the secret (can be anything)
    3. Click Save
    4. Save the Client ID and Client Secret values in a note in "Shared-ITMS-Passwords" in Lastpass (They are needed in the next step)

  4. Log into the virtual machine and configure globus:

    1. ssh pulsys@<public IP>

    2. On the server set the endpoint name you utilized above and generated client id. This will allow a copy and paste of the commands in the next step to work without editing

      export endpoint_name=<name from above (include staging or production)>
export client_id=<client id from above step>

    3. On the server run

      mkdir app_config
cd app_config
globus-connect-server endpoint setup "$endpoint_name"  --organization "Princeton University Library" --client-id $client_id --owner rdssglobus@princeton.edu --contact-email lsupport@princeton.edu

      1. you will be prompted for the client secret

      2. Accept Let's Encrypt ToS

      3. It will then run for some time (10 minutes about) and then give you a URL to paste into a browser You will get a response close to this

        Please authenticate with Globus to set the owner of the endpoint:
----------------------------------------------------------------
https://auth.globus.org/v2/oauth2/authorize?client_id=auuid-&redirect_uri=https%3A%2F%2Fauth.globus.org%2Fv2%2Fweb%2Fauth-code&...
----------------------------------------------------------------

        1. Paste the results from your browser to complete endpoint creation. Utilize the browser where you logged into Globus as rdssglobus for this step

        2. click on the link rddglobus@princeton.edu on the page and it will create a code

      4. paste the above code in on the command line

      5. It will then finish giving you a url for google cloud storage

      6. This will also create a deployment-key.json file in the app_config directory. This is an important file that connects the localhost to the globus web network

Configure Globus Node

  1. ssh pulsys@<public IP>

  2. On the server set the endpoint name you utilized above and generated client id. This will allow a copy and paste of the commands in the next step to work without editing

    cd app_config
export endpoint_name=<name from above (include staging or production)>
export client_id=<client id from above step>

  3. run the following command to configure your node: (note: use of sudo) You will be prompted for the client secret you saved in lastpass.

    sudo globus-connect-server node setup \
   --client-id $client_id
sudo systemctl restart apache2

  4. Finish the setup by running this on the VM

    sudo globus-connect-server login localhost

    NOTE: Depending on the browser you paste the url into, you will be logged in as that person. If you put it into an incognito and login with rdssglobus you will be rdssglobus. If you use a browser that you are logged into then you will be logged into the connect server as yourself. If you receive messages like None of your identities have been granted a role to access this resource you may need to get administrator access for your account, or login as rdssglobus instead.

Register the Endpoint with OIT

This is a manual step.

  1. ssh onto the EC2 instance ssh pulsys@<public IP>

  2. run sudo globus-connect-server endpoint show

  3. email pglobus@princeton.edu with subject Register Globus Endpoint

    Hello,

Can you please register the following Princeton Research Data Globus endpoint to be managed by Research Computing's Globus account:

<copy and paste from step 1>
We will be connecting this endpoint to an S3 bucket.

Thank you!

-- <your name>
   Princeton University Library

Register all admin users on the endpoint

  1. go to Globus Endpoints and sign in as rdssglobus (see last pass)

  2. click on New endpoint you created above

  3. click on the Roles tab and Continue for Authentication Consent

    1. you may need to add the aws key here
      1. In princeton_ansible directory on your local machine, see the aws key information needed ansible-vault view group_vars/globus/vault.yml

  4. Add administrators via the command line ssh pulsys@<public IP> and run

    sudo globus-connect-server endpoint role create administrator rdssglobus@princeton.edu
sudo globus-connect-server endpoint role create administrator cac9@princeton.edu
sudo globus-connect-server endpoint role create administrator fkayiwa@princeton.edu
sudo globus-connect-server endpoint role create administrator bs3097@princeton.edu
sudo globus-connect-server endpoint role create administrator hc8719@princeton.edu
sudo globus-connect-server endpoint role create administrator jrg5@princeton.edu
sudo globus-connect-server endpoint role create administrator kl37@princeton.edu

Troubleshooting staging VM that reboots with new IP

  1. After rebooting the VM take note of the new AWS provided IP. Retrieve the UUID with the following.
    1. login following the prompts 
      globus-connect-server login localhost
    2. see the node UUID 
      globus-connect-server node list --use-explicit-host localhost
  2. Update your Nodes (IP)s 
    globus-connect-server node update ${yourNodesUUID} -i ${yourNewIP} --use-explicit-host localhost

Connect globus endpoint to S3 bucket

Utilize the rdssglobus AWS IAM user by logging in in as rdssglobus in an incognito window. Login information is in lastpass.

  1. login to globus sudo globus-connect-server login localhost

    • paste the url in to your browser NOTE: Depending on the browser you paste the url into, you will be logged in as that person. If you put it into an incognito and login with rdssglobus you will be rdssglobus. If you use a browser that you are logged into then you will be logged into the connect server as yourself. If you receive messages like None of your identities have been granted a role to access this resource you may need to get administrator access for your account, or login as rdssglobus instead.

  2. Put the bucket name in a variable. Choose one of the following:

    • pdc-describe-staging-precuration
    • pdc-describe-staging-postcuration
    • pdc-describe-prod-precuration
    • pdc-describe-prod-postcuration
    • pdc-describe-deposit
    export bucket_name=<bucket name>

  3. Decide on a Gateway name and put it in a variable. For pdc*, choose one of the following:

    • pdc s3 storage gateway precuration
    • pdc s3 storage gateway postcuration
    • pdc s3 storage gateway precuration
    • pdc s3 storage gateway postcuration
    • pdc s3 storage gateway deposit
    export gateway_name=<gateway name>

  4. Create the S3 gateway and connect the bucket to it:

    sudo globus-connect-server storage-gateway create s3   "$gateway_name" --domain princeton.edu --s3-endpoint https://s3.amazonaws.com --s3-user-credential --bucket $bucket_name

    Note the id returned by this command, you will need it in the following

    1. Assign the gateway id to a variable 
      export gateway_id=<output from above command>

Create a mapped Collection for access to the S3 bucket

  1. Create a collection for the bucket

    • Utilize one of the following for the <name>:

      • Princeton Data Commons Staging Precuration
      • Princeton Data Commons Staging Postcuration
      • Princeton Data Commons Precuration
      • Princeton Data Commons Postcuration
      • Princeton Data Commons Deposit export collection_name=<name>

    • Utilize one of the following for the <info link>

    • Utilize one of the following for the <description>

    • if this is a staging system add --user-message "Staging data! Please do not store production data here"

      sudo globus-connect-server collection create $gateway_id / "$collection_name"  --organization 'princeton.edu' --contact-email prds@princeton.edu --info-link $info_link --description "$collection_name Globus Collection for curators" --keywords princeton.edu,RDOS,research  --allow-guest-collections  --enable-https

      Note the id returned by this command, you will need it in the next step

  2. Assign the collection id to a variable

    export collection_id=<output from above command>

  3. Add administrators via the command line

    sudo globus-connect-server collection role create $collection_id administrator rdssglobus@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator cac9@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator fkayiwa@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator bs3097@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator hc8719@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator jrg5@princeton.edu
sudo globus-connect-server collection role create $collection_id administrator kl37@princeton.edu

  4. In princeton_ansible directory on your local machine, see the aws key information needed ansible-vault view group_vars/globus/vault.yml

  5. visit the collection on https://app.globus.org/collections?scope=administered-by-me

    1. Click on the credentials tab and click continue to setup the credentials for accessing s3 (utilize the IAM key from above)

Create a guest Collection for public access to the mapped collection

Guest collections are public and readonly, we use them for the general public to be able to download the data.

** this is a manual step ** Choose one of the following for the name:

  • Princeton Data Commons Staging
  • Princeton Data Commons
  1. visit https://app.globus.org/collections?scope=administered-by-me
  2. click on the collection you just created
  3. click on the collections tab
  4. click on "Add a guest Collection"
  5. click browse and select the S3 bucket top path
    1. Select folder pdc-describe-staging-postcuration for stating
    2. Select folder pdc-describe-prod-postcuration for production
  6. Fill in the name and description
  7. Click create collection
  8. Click "Add Permissions - Share With"
  9. Choose "Public"
  10. Click Add Permissions

Create a group for Curator Access

  1. visit https://app.globus.org (and login as rdssglobus)
  2. click on "Groups" on the left hand side
  3. click on "Create New Group" on the left hand side
  4. Type in "Princeton Curators" for the group name
  5. For each Curator invote them into the group

Add the Curator Group as a manager of all the collections

  • Utilize one of the following for the <name>:
    • Princeton Data Commons Staging Precuration
    • Princeton Data Commons Staging Postcuration
    • Princeton Data Commons Precuration
    • Princeton Data Commons Postcuration
  1. visit https://app.globus.org (and login as rdssglobus)
  2. Find the collection you need to update in Collections
  3. Click on the Roles Tab
  4. Click on "Assign new Role"
  5. Choose Group
  6. Enter "Princeton Curators"
  7. Choose "Administrator"
  8. Click "Add Role"

Certificate Authority Updates

  1. We have a Globus Certs Playbook set up to automatically update the certificates for Globus VMs. Run this Playbook.
  2. When completed check the /var/lib/globus-connect-server/grid-security/certificates to see if old certificates still exist.

For ca-update-2022 the following files should be removed if the playbook fails to remove them

7a42187f.* 4b828555.* c7ab88a4.* globus_transfer_ca_2.* globus_transfer_ca_2_int.*

Rotating the client secret key

  1. visit developers.globus.org (and login as rdssglobus)
    1. click on the endpoint you would like to rotate the client secret for
    2. click on Generate new Client Secret
    3. copy the client secret to last pass or somewhere safe
  2. ssh onto the EC2 instance ssh pulsys@<public IP>
    1. run sudo globus-connect-server node set-configuration client_secret
    2. enter the new client secret when prompted
    3. sudo systemctl restart gcs_manager_assistant
    4. sudo systemctl restart gcs_manager
    5. globus-connect-server endpoint show (should now work, you may need to login)
  3. go back to developers.globus.org (and login as rdssglobus if not already logged in)
    1. click on the endpoint you just rotated
    2. Delete the client secret that should now be invalidated

Creating AWS IAM Keys for Curators

See globus_curators.md

Increasing size of Drive

  1. Run the following command to list all volumes with volume id and name below:

    aws ec2 describe-instances --query 'Reservations[*].Instances[*].[Tags[?Key==`Name`].Value,InstanceId,BlockDeviceMappings[*].Ebs.VolumeId]' --output text

    you will see results with the following:

    i-043b67b2b215d180b
prds-dataspace-endpoint1
vol-0c02aca34398ea8e5   vol-0e8522f82fd721b25
i-03d6cd75ba1fca824
...
...

  2. Select the volume you wish to create a snapshot of in the event something goes wrong. Then create a snapshot of it with the following. In my example below I will create a snapshot of prds-dataspace-endpoint1 with the volume ID vol-0c02aca34398ea8e5 and instance ID of i-043b67b2b215d180b

aws ec2 create-snapshot --volume-id vol-0c02aca34398ea8e5 --description "This is the prds-dataspace-endpoint root volume snapshot"

  1. Modify the volume of your instance. We will continue to use the VM in step two. Our goal is to resize it to have 100GB. We do that with the following (this can take a while so grab some ☕ ):

    aws ec2 modify-volume --volume-type gp2 --size 100 --volume-id vol-0c02aca34398ea8e5

  2. Check to see if the results if your server has a larger disk size by running the following:

sudo lsblk

You will see results similar to this:

NAME         MAJ:MIN RM  SIZE RO TYPE MOUNTPOINT
loop0          7:0    0 24.4M  1 loop /snap/amazon-ssm-agent/6312
loop1          7:1    0 25.1M  1 loop /snap/amazon-ssm-agent/5656
loop2          7:2    0 55.6M  1 loop /snap/core18/2714
loop3          7:3    0 63.3M  1 loop /snap/core20/1852
loop4          7:4    0 63.3M  1 loop
loop6          7:6    0 91.9M  1 loop /snap/lxd/24061
loop7          7:7    0 55.6M  1 loop /snap/core18/2721
loop8          7:8    0 49.9M  1 loop /snap/snapd/18357
loop9          7:9    0 91.8M  1 loop /snap/lxd/23991
loop10         7:10   0 63.3M  1 loop /snap/core20/1828
loop11         7:11   0 49.9M  1 loop /snap/snapd/18596
nvme0n1      259:0    0  100G  0 disk
├─nvme0n1p1  259:1    0  7.9G  0 part /
├─nvme0n1p14 259:2    0    4M  0 part
└─nvme0n1p15 259:3    0  106M  0 part /boot/efi
  1. Expand the volume so the Operating System can use it with the following command (note the space between the ones which matter):
sudo growpart /dev/nvme0n1 1
  1. You can now delete your snapshot in step 1 if successful.