End users think in terms of environments not packages. The core philosophy of conda-store is to serve reproducible conda environments in as many ways as possible to users and services. Conda-store was developed due to a significant need we found in enterprise architectures. There are many ways to serve environments and each plays an important role. Thus conda-store serves the same environment via a filesystem, lockfile, pinned yaml specification, conda pack archive, and docker image. This logic could easily be extended to also support the creation of VM iso's and singularity containers

During this talk I will highlight some common problems with environments we have seen while consulting and show how conda-store aims to solve them:
- Friction between IT and end users in controlled environments where new packages are needed
- Enabling a given notebook developed within jupyterlab to be reproducibly run in workflows reliably for years to come
- Helping to removing the need for specially crafted docker containers

This talk will be full of demos along with a site that everyone in the talk can try out.