Hello, I have application that servers time-series data for 10+ units. This data can get big and I don't want to retrieve 5-6MB worth of data from cassandra and serve it out as JSON to the client.
I want to maintain cache of this time series data. I had horrible thought of just storing this data in local python dictionary instead of doing something exotic like memcach server. What are the plus/minus of just storing this cache in process running django? Of course this doesn't scale well for 1000+ units.. -Subodh -- You received this message because you are subscribed to the Google Groups "Django users" group. To unsubscribe from this group and stop receiving emails from it, send an email to django-users+unsubscr...@googlegroups.com. To post to this group, send email to django-users@googlegroups.com. Visit this group at http://groups.google.com/group/django-users. To view this discussion on the web visit https://groups.google.com/d/msgid/django-users/CALr9Q3bbgfe46-JzSYXhUWbbv7tgjUbHbSjDxnQxXHEsuc6hLg%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
