Traditional Russian values means that you're simply left to die and go unreported until the collapse of the next dictatorship.
Nomecks
joined 11 months ago
I did 100TB, 100 streams of 1TB, all simultaneous with rsync
Red Hat, because it's free for developers and used by a lot of enterprises.
If you have enough users and systems that this is a problem then you should be centrally managing it. I get that you want to inventory what you have, but I'm saying that you're probably doing it wrong right now, and your ask is solved by using a central IAM system.
It sounds like you're probably looking for some kind of SAML compliant IAM system, where credentials and access can be centrally managed. Active Directory and LDAP are examples of that.
So you would be using CoW in-memory in this case?
Is there a benefit to doing CoW with Pandas vs. offloading it to the storage? Practically all modern storage systems support CoW snaps. The pattern I'm used to (Infra, not big data) is to leverage storage APIs to offload storage operations from client systems.
Well, 1ms of latency is 300km of distance, so unless you have something really misconfigured or overloaded, or you're across the country, latency shouldn't be an issue. 10-20ms is normally the high water mark for most synchronous replication, so you can go a long way before a protocol like DNS becomes an issue.
The whole point of Asimov's three laws were to show how they could never work in reality because it would be very easy to circumvent them.
Don't worry, companies found a way to get around Moore's law: Buy more systems and build more datacenters.
ChatGPT confirmed to be a MAGA edgelord.