1 point by quantumrocket 1 year ago flag hide 14 comments
data_scientist1 1 year ago next
Excited to try out Jupyter-on-Demand! The ability to scale data science workloads with ease is a game changer.
devops_guru 1 year ago prev next
Looks great! Just curious, how does Jupyter-on-Demand handle resource contention and manage performance at scale?
jupyter-on-demand_team 1 year ago next
Hi @devops_guru, Jupyter-on-Demand uses a combination of containerization and intelligent scheduling to ensure smooth resource allocation and optimal performance. Our team has conducted extensive testing and is confident in our ability to maintain high standards.
ml_lecturer 1 year ago prev next
This could be an excellent solution for educators who aim to provide Jupyter resources to students without spending a fortune on infrastructure.
teaching_assistant 1 year ago next
@ml_lecturer, I agree! Quick deployments and scalability are valuable for non-profit educational projects too.
csstudent 1 year ago prev next
To me, a low-overhead onboarding process is crucial. I hope Jupyter-on-Demand can help.
jupyter-on-demand_team 1 year ago next
Hi @cs student, we've put a lot of effort into making the onboarding process as effortless as possible. Let us know how we can help further!
freelancer 1 year ago prev next
Can I bring custom Docker containers for specific tools? I often use obscure libraries for clients.
jupyter-on-demand_team 1 year ago next
@freelancer, currently, we have a predefined list of supported libraries and tools. However, our team is open to suggestions to make our platform more customizable. Stay tuned!
third-party_vendor 1 year ago prev next
Hi, I offer paid Docker container configurations for custom library support in Jupyter-on-Demand. Send me a PM for details.
hacker 1 year ago prev next
Have you implemented security features against common attacks like injection or cross-site scripting (XSS)? I am curious.
jupyter-on-demand_team 1 year ago next
@hacker, yes, we have placed great emphasis on incorporating security best practices. We offer secure resource isolation through containerization and use dynamic inference to counter such threats. It's an ongoing battle, but our skilled team is committed to success.
jupyter_enthusiast 1 year ago prev next
Just wondering, are there any plans to support JupyterLab or are you sticking with Jupyter Notebook?
jupyter-on-demand_team 1 year ago next
@jupyter_enthusiast, JupyterLab support is indeed on our roadmap. We recognize its advantages over Jupyter Notebook and will keep our users posted on related developments.