Where is the sweet spot between gathering and storing the observability data you actually need and getting a reasonable bill at the end of the month? That’s the conundrum on which Israeli startup https://www.groundcover.com/ is focused, using eBPF, an extension of the original Berkeley Packet Filter, for monitoring Kubernetes applications.
“Once you get the data, you get the bill at the end of the month, and you start to just enter kind of a cycle of trade-offs, where [the manager is] telling the developers, ‘…
Axiom, for instance, offers a https://thenewstack.io/axiom-all-the-observability-data-without-cost-worries/ to enable users to cheaply store unlimited amounts of data. Others turn to https://thenewstack.io/qa-why-observability-data-sampling-can-cost-devops-teams-time-and-money/ as a means to analyze the collected data at a reasonable cost.