You can use a spack monitor “Spackmon” server to store a database of your packages, builds, and associated metadata for provenance, research, or some other kind of development. You should follow the instructions in the spack monitor documentation to first create a server along with a username and token for yourself. You can then use this guide to interact with the server.

Analysis Monitoring

To read about how to monitor an analysis (meaning you want to send analysis results to a server) see Monitoring An Analysis.

Monitoring An Install

Since an install is typically when you build packages, we logically want to tell spack to monitor during this step. Let’s start with an example where we want to monitor the install of hdf5. Unless you have disabled authentication for the server, we first want to export our spack monitor token and username to the environment:

$ export SPACKMON_TOKEN=50445263afd8f67e59bd79bff597836ee6c05438
$ export SPACKMON_USER=spacky

By default, the host for your server is expected to be at with a prefix of ms1, and if this is the case, you can simply add the --monitor flag to the install command:

$ spack install --monitor hdf5

If you need to customize the host or the prefix, you can do that as well:

$ spack install --monitor --monitor-prefix monitor --monitor-host hdf5

As a precaution, we cut out early in the spack client if you have not provided authentication credentials. For example, if you run the command above without exporting your username or token, you’ll see:

==> Error: You are required to export SPACKMON_TOKEN and SPACKMON_USER

This extra check is to ensure that we don’t start any builds, and then discover that you forgot to export your token. However, if your monitoring server has authentication disabled, you can tell this to the client to skip this step:

$ spack install --monitor --monitor-disable-auth hdf5

If the service is not running, you’ll cleanly exit early - the install will not continue if you’ve asked it to monitor and there is no service. For example, here is what you’ll see if the monitoring service is not running:

[Errno 111] Connection refused

If you want to continue builds (and stop monitoring) you can set the --monitor-keep-going flag.

$ spack install --monitor --monitor-keep-going hdf5

This could mean that if a request fails, you only have partial or no data added to your monitoring database. This setting will not be applied to the first request to check if the server is running, but to subsequent requests. If you don’t have a monitor server running and you want to build, simply don’t provide the --monitor flag! Finally, if you want to provide one or more tags to your build, you can do:

# Add one tag, "pizza"
$ spack install --monitor --monitor-tags pizza hdf5

# Add two tags, "pizza" and "pasta"
$ spack install --monitor --monitor-tags pizza,pasta hdf5

Monitoring with Containerize

The same argument group is available to add to a containerize command.


To add monitoring to a Docker container recipe generation using the defaults, and assuming a monitor server running on localhost, you would start with a spack.yaml in your present working directory:

    - samtools

And then do:

# preview first
spack containerize --monitor

# and then write to a Dockerfile
spack containerize --monitor > Dockerfile

The install command will be edited to include commands for enabling monitoring. However, getting secrets into the container for your monitor server is something that should be done carefully. Specifically you should:

  • Never try to define secrets as ENV, ARG, or using --build-arg

  • Do not try to get the secret into the container via a “temporary” file that you remove (it in fact will still exist in a layer)

Instead, it’s recommended to use buildkit as explained here. You’ll need to again export environment variables for your spack monitor server:

$ export SPACKMON_TOKEN=50445263afd8f67e59bd79bff597836ee6c05438
$ export SPACKMON_USER=spacky

And then use buildkit along with your build and identifying the name of the secret:

$ DOCKER_BUILDKIT=1 docker build --secret id=st,env=SPACKMON_TOKEN --secret id=su,env=SPACKMON_USER -t spack/container . 

The secrets are expected to come from your environment, and then will be temporarily mounted and available at /run/secrets/<name>. If you forget to supply them (and authentication is required) the build will fail. If you need to build on your host (and interact with a spack monitor at localhost) you’ll need to tell Docker to use the host network:

$ DOCKER_BUILDKIT=1 docker build --network="host" --secret id=st,env=SPACKMON_TOKEN --secret id=su,env=SPACKMON_USER -t spack/container . 


To add monitoring to a Singularity container build, the spack.yaml needs to be modified slightly to specify wanting a different format:

    - samtools
    format: singularity

Again, generate the recipe:

# preview first
$ spack containerize --monitor

# then write to a Singularity recipe
$ spack containerize --monitor > Singularity

Singularity doesn’t have a direct way to define secrets at build time, so we have to do a bit of a manual command to add a file, source secrets in it, and remove it. Since Singularity doesn’t have layers like Docker, deleting a file will truly remove it from the container and history. So let’s say we have this file,

export SPACKMON_USER=spack
export SPACKMON_TOKEN=50445263afd8f67e59bd79bff597836ee6c05438

We would then generate the Singularity recipe, and add a files section, a source of that file at the start of %post, and importantly a removal of the final at the end of that same section.

Bootstrap: docker
From: spack/ubuntu-bionic:latest
Stage: build

%files /opt/ 

  . /opt/

  # spack install commands are here
  # Don't forget to remove here!
  rm /opt/

You can then build the container as your normally would.

$ sudo singularity build container.sif Singularity 

Monitoring Offline

In the case that you want to save monitor results to your filesystem and then upload them later (perhaps you are in an environment where you don’t have credentials or it isn’t safe to use them) you can use the --monitor-save-local flag.

$ spack install --monitor --monitor-save-local hdf5 

This will save results in a subfolder, “monitor” in your designated spack reports folder, which defaults to $HOME/.spack/reports/monitor. When you are ready to upload them to a spack monitor server:

$ spack monitor upload ~/.spack/reports/monitor 

You can choose the root directory of results as shown above, or a specific subdirectory. The command accepts other arguments to specify configuration for the monitor.