In my case, it's rewriting some Bash and Python mostly to extend them more easily.
Bash to Rust
Bash script can become a real pain, for example when I'm writing it on macOS (
zsh are installed) and needs to execute it on some OS with different shells like (t)csh, ksh.
Just exporting an environment variable is a rewrite from
export NAME=VALUE to
setenv NAME VALUE, now I let you imagine when it's directly logic with finding available tools like checking if
wget is available and some logic about potential failures.
With Rust, I can do a strict "no external dependency" so the binary built will always work as expected. In addition, the type checking permits avoiding a lot of "bargains" specific to the Bash script.
Python to Rust
Python script needs to have Python installed. Sometimes, it's impossible to have it (ITIL, specific environment requirements & co.) so I need to provide a virtual env. Providing a 50 MB virtual env for a 60 kB script, it's unoptimized and mostly a waste of resources/time.
The binary version (Rust): 3.2 MB… so a 93.6% decrease.
I can use
scratch image as the base for my containers because the binary built is statically linked and doesn't need an external system like
The other advantage is for creating an OCI image. Python-based containers are heavysized and need some environment variables to work correctly:
PYTHONDONTWRITEBYTECODE: If this is set to a non-empty string, Python won’t try to write .pyc files on the import of source modules.
PYTHONUNBUFFERED: Force the stdout and stderr streams to be unbuffered. (needed for Python older than 3.7)
Finally, when I develop, Rust is the game changer because the compiler outputs every warning and error instead of partial runs with Python where it'll fail during the execution.
Do we still need Bash/Python scripts
Honestly, I can continue to need them for specific cases:
- Bash: executed by Terraform or Ansible or some CI/CD (running
makefor example) or to create an OCI image using
- Python: for a quick PoC but not for the production version where it's important to have the best performance/cost ratio with the budget in mind
My biggest "garbage" in Python was Pandas… I replaced it with Polars (Rust library with Python bindings) otherwise I'll use (and cost) a big compute node for nothing because Pandas is still unoptimized.