Hello, I'm curious how to best use Prometheus for *large scale use cases*: Let's say you've got a successful e-commerce platform, using Prometheus to track some ~300 metrics related to requests, failures and interactions at various points throughout the system. Now, your platform is very generic, and you can easily support 10,000 different e-commerce sites & customers. At this scale, Kubernetes spreads your application across ~100 pods. (There's no "session aware" ingress router, so any pod can support any customer.)
*How would you handle these metrics?* Adding the 'customer' label to every metric results in 300(metrics) * 10000(customers) * 100(pods) = 300M timeseries, scraped every 15 seconds by default. -- You received this message because you are subscribed to the Google Groups "Prometheus Users" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To view this discussion on the web visit https://groups.google.com/d/msgid/prometheus-users/cb9974bd-96ba-4bdd-8cf5-e28cbf8f587cn%40googlegroups.com.
