It is true that on the General Purpose HPC clusters like Graham the vast majority of production work is executed on the compute nodes via the scheduling environment. That being said, in many cases research requires substantial pre-production work (e.g. data management, procedure prototyping and optimization profiling, etc) as well as post-processing (e.g. more data management, result visualization, etc). This webinar provides an overview of avenues for interacting with Graham that go beyond using the scheduler from the login nodes. Topics such as using local software on remote files via sshfs mounts, using IDEs and performing visualizations via the Graham Virtual Desktop Infrastructure (VDI) nodes, and interactively profiling the performance of procedures on compute nodes via salloc interactive jobs.