It's insane. Unless you're literally Facebook, or ingesting data from CERN's LHC... what possible use case requires 100GB of text data ingest per day?
Maybe it's a case of someone throwing a Service Mesh into a Microservices K8s cluster and logging all the things?
Normally that's no issue as the data is stored in SANs and not sent onto the cloud for analysis, just giving a perspective.
90%+ of our logs are severity INFO or have no severity at all. It's like pulling teeth to even get devs to output logs using the corporate standard json-per-line format with mandatory fields.
Still, once you're running hundreds of VMs processing a big data pipeline it's not hard to end up with massive amounts of logs. It's not just logging, really, it's also metrics and trace information.
> Amazon Elasticsearch Service lets you store up to 3 PB of data in a single cluster, enabling you to run large log analytics workloads via a single Kibana interface.
"You're not the DoD so of course you're not having issues".
It can't be more than a minuscule fraction of Amazon ES customers that are getting anywhere close to 3PB.