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Why not go with Alphabet Cloud, or ABC?


Hahaha this is awesome! Unfortunately, Alphabet wasn't a thing back then.


Another alternative developed for AWS deployments, written in Python and uses KMS: Credstash https://github.com/fugue/credstash


The only downside of credstash is that it doesn't have the ability to restrict sets of credentials to different IAM roles. The access is all-or-nothing, per dynamo table.

Otherwise the general design of credstash is very similar to Confidant.


It is possible to use fine grained access control with dynamodb in order to restrict access within a ddb table


Am I the only one who noticed "he was in 13th Floor Elevators"? Whoa! That's rad! And props on making music the priority, not worrying about age.


No you're not. I'm listening to "You're Gonna Miss Me" right now.

So is he in touch with Roky?


They are actually playing next weekend:

http://www.austinpsychfest.com/portfolio-item/the-13th-floor...

It's kind of funny... I just thought he was some random (occasionally iffy, somewhat nutty) drummer.


I'm loving this article. When listening to old jazz recordings where trap kits like this were used, it's clear that there's sounds that would be difficult to reproduce with modern gear, particularly cymbals (all those hi-hat predecessors!). I'm amazed that the hardware held up. The way I play, I'm sure I'd destroy these kits in minutes.


There must be something in the air regarding tools for managing secrets. First Keywiz, then Credstash, a little python utility for managing secrets using AWS KMS https://github.com/LuminalOSS/credstash


Also coincidentally, this was just released today -- Credstash: a utility for managing secrets using AWS KMS and DynamoDB. Written in Python. https://github.com/LuminalOSS/credstash


It's a PR victory for KP that the media generally refers to this as the "Ellen Pao Trial" rather than the "Kleiner Perkins Trial"


Maybe it's not the best thing since Jesus, but it's worth celebrating its birthday http://blog.fugue.it/2013-10-07-pipeday.html


Late disclosure: I am a founder of Luminal, the makers of Fugue. Happy to answer any questions!


Very interesting, I worked on a system that does provide 'truth and trust' but the first part (voluntarily destroying instances) of what you say seems like the opposite? If you want to maintain truth with everyone being aware of each other 's state but then want to voluntarily disrupt said state, wouldn't that lead to unnecessary work? Also, would be nice if you shared the data that led to such an approach (I see this removes the need for say Upgrades, but does it actually provide a benefit)? May be I'm completely off-base here.


Thanks for the question, curiousDog.

Disclosure: I am a founder and the CEO of Luminal.

In a distributed, and therefore often largely stateless system at the instance level, the system boundary is now outside the individual instance. The performer (a series of instances over time in Fugue) is roughly analogous to a process on an individual computer. Truth and trust are maintained by knowing and controlling the state of the instances themselves with Fugue. Think of the Conductor as analogous to the kernel in a traditional OS, where providing processes CPU time and resources is a regular course of business.

As for unnecessary work, we've found that maintaining systems in place, with all the failure, complexity and configuration drift that's inevitable is much more expensive than using some of the excess capacity of a given performer. Most systems target 70% or so utilization - we use some of that excess to lifecycle.

I hope this answers the question and we're really excited to get feedback on what we're doing so it's relevant to your work.


Hi wmf, you can find specifics of how Fugue works at www.fugue.it


I looked at the site before asking my question. It looks like cloud orchestration 101. How is it different from, say, Terraform?


Terraform creates everything and hands you the keys to manage your infrastructure. Fugue continually manages your infrastructure after the deployment with the Conductor. The continuous automatic regeneration of instances make bad boots, noisy neighbors, and transient errors temporary blips rather than problems that must be manually addressed. Fugue continuously enforces your desired state of infrastructure so you don't have to.


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