Amazon Web Services - Four Years and Out

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Amazon Web Services - Four Years and Out

Today marks four years since I joined AWS. My last day will be Friday.

I have to say being fired from AWS is actually a relief. There have been a lot of changes to the company since I joined in 2022, and the company I wanted to work for is no longer the same company.

This past year, while I was doing my best to make AWS play nice in open source communities, there were two main drivers making me unhappy with my job: organizational change and the acceleration of the focus on Generative AI.

The organizational change came in the form of the man who hired me, David Nalley. I was skeptical about joining AWS, especially since I work in open source, but David convinced me that his team, OSSM (Open Source Strategy and Marketing), was dedicated to making AWS a better citizen in open source communities.

Amazon has a really odd viewpoint when it comes to the people who work there. They view almost all employees as “fungible”.

Now the first time I had ever heard the term “fungible” was in reference to non-fungible tokens (NFTs), but it basically means “replaceable”. Amazon built a huge retail business on processes that could take someone who was relatively healthy and relatively intelligent, and turn them in to a productive fulfillment center employee in a couple of weeks. While that may work for a shipping business, it doesn’t translate all that well to information technology, since so much of being successful in that business relies on institutional knowledge that must be earned over time.

It also assumes that there is a limitless supply of people with the required skills, and a willingness to work for Amazon.

In any case, during the interview process David called me “non-fungible” (which still sounds dirty in my mind but did make me proud) and I got the job.

While my official role was to act as a liaison between AWS and customers who were commercial open source companies, I simplified that to mean bring a human face to a huge, faceless corporation.

David was a very good manager. In fact, he is in the running to be the best manager I’ve ever had, although that title still belongs to a man named Jay Clapsadle (who is long since retired). He has an innate understanding of how AWS works, and he would always nudge me into those situations where my unique but limited talents would be put to good use.

Well, last year David, being very good at his job, got promoted to run the entire AWS Developer Experience organization. OSSM is a part of it, but I no longer interacted with him in a meaningful way. My “David Time” went almost to zero.

Also, last year the focus at AWS turned fully and almost desperately toward GenAI.

This post is already too long so I won’t pull out all of the examples I was going to bring up at this point in the narrative, but we started being driven to use as much AI as possible. People were writing things like “I use AI to summarize my email!”. I mentally responded to that with “why don’t we just write better emails?”. And one that really bothered me was “I used one prompt to create my conference presentation!”

In the modern economy, the most valuable commodity is attention. I really appreciate the attention my three readers give to my posts, even when I lose them halfway through. I love giving conference talks and I spend a considerable amount of time creating them, and when someone still wants to speak but doesn’t want to put in the work, it makes me angry. Seriously, why do it?

It has gotten better, but I used to see AI generated images with lots of unintelligible writing or misspelled words in slides, but the speaker left them in anyway. “Good enough” is not customer obsession.

In this whole pivot to GenAI, AWS has lost its focus on the customer. Instead of working backwards from a genuine customer need, the goal seems to be to create as many things as fast as possible, throw them into the world and see which ones gain traction, whether or not they serve a real need.

There is this push to use AI to create content which will ultimately be consumed by AI, and we’ve lost the human being in the process.

When AWS first introduced a viable cloud to the world, it was amazing. Back in the 1990s when you wanted to implement an enterprise software solution, you first had to take a guess at what computing power you would need. Next, you would have to order hardware from companies like Sun Microsystems or Dell and that could take weeks if not months to be delivered. It would then need to be racked, powered and provisioned, and then you were screwed if you happened to undersize it or criticized if you spent too much and oversized it.

The cloud solved those problems, and AWS set the standard with services such as S3, EC2, RDS, etc.

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