HeyJaredThe CTO Advisor
The CTO Advisor Short thoughts on public cloud and private data center. Longer than a tweet. Shorter than a blog post. CTOShort We talk AWS, Azure, GCP and traditional enterprise IT infrastructure.
- Indexed issues, last 90 days
- 7
- Latest publication
- Sep 2, 2026
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- Jul 7, 2026
Latest issues
Broadcom's AI Factory has no Clothes (opens the original)
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Broadcom’s AI Factory on VCF 9.1 is SDDC 2.0.And I don’t mean that as a compliment.The Software-Defined Data Center was one of VMware’s great marketing concepts. It described a future where software abstracted the underlying infrastructure and gave enterprises a consistent operating model across compute, storage, networking, and eventually clouds.The vision was much cleaner than the reality.VMware AI Factory feels like the same pattern repeating itself.Broadcom has taken VCF 9.1, Tanzu, Private
Deskside AI is Getting Serious (opens the original)
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I’ve been lobbying Dell to send me a Dell Pro Max with a GB300. Because who doesn’t want to play with a $148K workstation?But even without it, deskside AI is starting to look like a serious option vs. just a few months ago. It has less to do with the hardware and more to do with the software layer. And to be more precise, it’s the models. They are getting better and better.Over on labs.layer2c.com, we created a 22-task benchmark. It’s 22 of the hardest open-source bugs I could find. The best sin
An Agent Will Run Your Test. It Won't Hold Your Question. (opens the original)
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I've spent the past few months using AI agents as lab rats. Not as the subject of the experiment. As the labor.They're excellent at the work I hate. Reading forty pages of API documentation to find the one attribute that makes the command behave the way I need it to. Reconciling a version mismatch. Sorting out which flag changed between releases. That work has to happen, it takes hours, and it produces nothing on its own. An agent does it without complaining and does it faster than I do.<a class
Your docs don’t fail. That’s the problem. (opens the original)
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Last week my AI agent rebuilt documentation I already had. It wrote a new index for a directory that already had an index. It wrote a new architecture document beside the architecture document, then politely fenced the real one as legacy. I caught it three times before the structure was right, and the third catch was the painful one: the new core of the system was living in a side document while the entry point everyone reads described a system that no longer existed.The same agent had spent the
Two Escapes, One Problem (opens the original)
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I had two agent escapes in production this week. They looked like different failures. They were the same failure.The first was the classic. I gave an agent access to my AWS account to stand up and run some lab work. It executed the work correctly. Then, tearing down the lab resources, it deleted an unrelated S3 bucket. Nothing of consequence was lost, and the fault was mine. I never scoped the credentials. The agent had rights it should never have held, and it used them exactly the way you would
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