Does anyone have links to "how-to's" for Linux in the enterprise? Password/MFA management, central app management, the equivalent of group policy, device management, etc.? IME, these are the areas in the enterprise where Windows "wins" with the IT teams, but it's been a long time since I've been close to the rollout side of the house. TIA
There isn't really a polished and comprehensive singular thing to accomplish this the same way you would with Active Directory in Windows world. Then again, AD is really not a polished thing either its more of a duct-taped stack of crap.
Mirroring "the unix way" it is often a collection of single-purpose tools composed together to achieve the desired goal. Samba is quite powerful these days, it does more than just SMB sharing. FreeIPA is another software tool that I believe is more common in Red Hat deployments.
Something I'm surprised this article didn't touch on which is driving many organizations to be conservative in "how much" AI they release for a given product: prompt-jacking and data privacy.
I, like many others in the tech world, am working with companies to build out similar features. 99% percent of the time, data protection teams and legal are looking for ways to _remove_ areas where users can supply prompts / define open-ended behavior. Why? Because there is no 100% guarantee that the LLM will not behave in a manner that will undermine your product / leak data / make your product look terrible - and that lack of a guarantee makes both the afore-mentioned offices very, very nervous (coupled with a lack of understanding of the technical aspects involved).
The example of reading emails from the article is another type of behavior that usually gets an immediate "nope", as it involves sending customer data to the LLM service - and that requires all kinds of gymnastics to a data protection agreement and GDPR considerations. It may be fine for smaller startups, but the larger companies / enterprises are not down with it for initial delivery of AI features.
Just tested on an older (2015) Intel UHD 620 GPU (integrated), and surprisingly all the demos except one hit ~45FPS and up. The first one - Big Forest - struggled to get ~10fps, and was extremely laggy.
Meh...the phrase "deep dive" has been around forever, not sure what about that phrase specifically gives "AI generated" vibes? For me, I just read through those and focus on the content quality of the article - "verbal seasoning" doesn't phase me at all.
Noting that Azure Blob storage supports e-tag / optimistic controls as well (via If-Match conditions)[1], how does this differ? Or is it the same feature?
Previous MSFT employee of about 7 years (left about 3 years ago) - this was totally not true. In fact, we were encouraged to make non-competing contributions and I worked with several peers that had very successful open source projects.
While I'll agree the "eye candy updates" may not be there (apart from marketing-driven AI additions and visual updates), there are some big features that aren't visible until you enter the enterprise space. For example, Purview Information Protection [1] and Data Classification integration [2] make data protection, audits/compliance a no-brainer, and are _extremely_ compelling arguments for an integrated suite at the CISO level.
(The downside of course is this is a single-source stack, which can be a risk in of itself)
I have no real background in Libre (apart from using it, which I enjoy), but from cursory searches, there doesn't appear to be equivalent features available (very happy to be wrong here FWIW). Are there alternatives in this space?
There is an excellent Network Academy video on YouTube [1] that covers some of the internal implementations of the layer-4 load balancers (in the context of HA for NVA's).
