We will add a JWKs endpoint to the application
and manipulate signed/encrypted Json Web Token (JWT).
Project lacks tooling for JSON Object Signing and Encryption (JOSE)
manipulations. After a quick benchmark, 'joserfc' has been chosen
as the dependency to add.
joserfc is a Python library that provides a comprehensive
implementation of several essential JOSE standards.
Please find the benchmark:
- Cryptography: Although using only cryptography is feasible, its
interface/API is not as user-friendly.
- pyjwt: While pyjwt is popular, it lacks support for JWK and JWE objects,
which are essential for the requirements.
- python-jose: The latest release of python-jose was in 2021, and the
project seems less active compared to other alternatives.
- Authlib: Authlib is the second most popular library after pyjwt and seems
modern with an active community. However, the parts relevant to the use case
were extracted into a relatively new package named joserfc.
- joserfc: Although joserfc has fewer stars compared to Authlib, it was
extracted from Authlib, which has more than 4k stars, indicating a solid
foundation.
While the low star count of joserfc might raise concerns about its stability, it
is believed to be worth considering its addition. Adding Authlib and refactoring
later, once they finish migrating to joserfc, is also a possibility
In development, sessions are saved in local memory. It's working well,
however it doesn't adapt to a kubernetized setup. Several pods need
to access the current sessions, which need to be stored in a single
source of truth.
With a local memory cache, pods cannot read session saved in other pods.
We end up returning 401 errors, because we cannot authenticate the user.
I preferred setting up a proper cache than storing sessions in database,
because in the long run it would be a performance bottleneck. Cache will
decrease data access latency when reading current sessions.
I added a Redis cache backend to the production settings. Sessions would
be persisted to Redis. In K8s, a Redis operator will make sure the cached
data are not lost.
Two new dependencies were added, redis and django-redis.
I followed the installation guide of django-redis dependency. These
setting were tested deploying the app to a local K8s cluster.
When running make ruff-check, a warning informs the user that
some config are deprecated, and gives her the step to migrate.
This warning appears after Ruff released its v0.2.0.
Fix it, by keeping our pyproject.toml up to date.
