kkl
Joined 12 years ago
Joined 12 years ago
To be clear: This is not my position! I advocate for service accounts in my post:
> It is much harder to reason about, say, the security of an arbitrary Engineer's laptop than it is an EC2 instance that exists exclusively to tell KMS to sign something.
> So every time we fire or lay off the person whose name is on the automation, we need to rotate the keys?
If a person previously had access to the key and knowledge of the key gives you control over that automated workflow, is that key (and by extension that workflow) still worth trusting?
There are several options for setting up per-connection keys that are dispensed to users through the company SSO. That setup means you don't need to maintain separate infrastructure for (de-)provisioning SSH keys.
<insert takes long drag tweet[1] here>
I personally find "LLMs can do $THING poorly" and "LLMs can do $THING well" articles kinda boring at this point. But! I'm hopeful that stories like this will shift the industry's focus towards robustness instead of just short-term efficiency. I suspect many decision making and change management processes accidentally benefited from just being a bit slow.
Making entire classes of issues effectively impossible is definitely the ideal outcome. But, this feels much more complicated when you consider that trust doesn't always extend beyond the company's wall and you cannot always ignore that fact because the negative outcomes can be external to the company.
What if I, a trusted engineer, run `npm update` at the wrong time and malware makes its way into production and user data is stolen? A mistake to learn from, for sure, but a post-mortem is too late for those users.
I'm certainly not advocating for relying on human checks everywhere, but reasoning about where you crank the trust knob can get very complicated or costly. Occasionally a trustworthy human reviewer can be part of a very reasonable control.
If you have fairly complicated infrastructure it can be way more efficient to have a pool of ready to go beefy EC2 instances on a recent commit of your multi-GB git repo instead of having to run everything on a laptop.
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