Creating and running software containers with Singularity

How to use Singularity!

Table of Contents

• Installation

This is an introductory workshop on Singularity. It was originally taught by David Godlove at the NIH HPC, but the content has since been adapted to a general audience. For more information about the topics covered here, see the following:

• Singularity Home
• Singularity on GitHub
• Singularity on Google Groups
• Singularity at the NIH HPC
• Docker documentation
• Singularity Container Services
• Docker Hub

What IS a software container anyway? (And what's it good for?)

A container allows you to stick an application and all of its dependencies into a single package. This makes your application portable, shareable, and reproducible.

Containers foster portability and reproducibility because they package ALL of an applications dependencies... including its own tiny operating system!

This means your application won't break when you port it to a new environment. Your app brings its environment with it.

Here are some examples of things you can do with containers:

• Package an analysis pipeline so that it runs on your laptop, in the cloud, and in a high performance computing (HPC) environment to produce the same result.
• Publish a paper and include a link to a container with all of the data and software that you used so that others can easily reproduce your results.
• Install and run an application that requires a complicated stack of dependencies with a few keystrokes.
• Create a pipeline or complex workflow where each individual program is meant to run on a different operating system.

How do containers differ from virtual machines (VMs)

Containers and VMs are both types of virtualization. But it's important to understand the differences between the two and know when to use each.

Virtual Machines install every last bit of an operating system (OS) right down to the core software that allows the OS to control the hardware (called the kernel). This means that VMs:

• Are complete in the sense that you can use a VM to interact with your computer via a different OS.
• Are extremely flexible. For instance you an install a Windows VM on a Mac using software like VirtualBox.
• Are slow and resource hungry. Every time you start a VM it has to bring up an entirely new OS.

Containers share a kernel with the host OS. This means that Containers:

• Are less flexible than VMs. For example, a Linux container must be run on a Linux host OS. (Although you can mix and match distributions.) In practice, containers are only extensively developed on Linux.
• Are much faster and lighter weight than VMs. A container may be just a few MB.
• Start and stop quickly and are suitable for running single apps.

Because of their differences, VMs and containers serve different purposes and should be favored under different circumstances.

• VMs are good for long running interactive sessions where you may want to use several different applications. (Checking email on Outlook and using Microsoft Word and Excel).
• Containers are better suited to running one or two applications, often non-interactively, in their own custom environments.

Docker

Docker is currently the most widely used container software. It has several strengths and weaknesses that make it a good choice for some projects but not for others.

philosophy

Docker is built for running multiple containers on a single system and it allows containers to share common software features for efficiency. It also seeks to fully isolate each container from all other containers and from the host system.

Docker assumes that you will be a root user. Or that it will be OK for you to elevate your privileges if you are not a root user. See https://docs.docker.com/engine/security/security/#docker-daemon-attack-surface for details.

strengths

• Mature software with a large user community
• Docker Hub!
  • A place to build and host your containers
  • Fully integrated into core Docker
  • Over 100,000 pre-built containers
  • Provides an ecosystem for container orchestration
• Rich feature set

weaknesses

• Difficult to learn
  • Hidden innards
  • Complex container model (layers)
• Not architected with security in mind
• Not built for HPC (but good for cloud)

Docker shines for DevOPs teams providing cloud-native micro-services to users.

Singularity

Singularity is a relatively new container software invented by Greg Kurtzer while at Lawrence Berkley National labs and now developed by his company Sylabs. It was developed with security, scientific software, and HPC systems in mind.

philosophy

Singularity assumes (more or less) that each application will have its own container. It does not seek to fully isolate containers from one another or the host system.

Singularity assumes that you will have a build system where you are the root user, but that you will also have a production system where you may or may not be the root user.

strengths

• Easy to learn and use (relatively speaking)
• Approved for HPC (installed on some of the biggest HPC systems in the world)
• Can convert Docker containers to Singularity and run containers directly from Docker Hub
• Singularity Container Services!
  • A place to build and share your containers securely

weaknesses

• Younger and less mature than Docker
• Smaller user community (as of now)
• Under active development (must keep up with new changes)

Singularity shines for scientific software running in an HPC environent. We will use it for the remainder of the class.