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When I interviewed for my job at Amazon, I made sure to ask one of the interviewers, 'How often do you deploy to production?' At the time, I was working on a product that rolled out a major release once or twice a year, but sometimes I needed to release a small fix in between big releases. For each fix that I released, I spent hours carefully rolling it out. Then I frantically checked logs and metrics to see if I had broken anything after the deployment and needed to roll it back.
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I read that Amazon practiced continuous deployment, so when I interviewed, I wanted to know how much time I would have to spend managing and watching deployments as a developer at Amazon. The interviewer told me that changes were automatically deployed to production multiple times a day by continuous deployment pipelines. When I asked how much of his day was spent carefully shepherding each of those deployments and watching logs and metrics for any impact as I had been doing, he told me usually none. Because the pipelines did this work for his team, most deployments weren't actively watched by anyone. Anesidora 1 3333. 'Whoa!' I said. After I joined Amazon, I was excited to find out exactly how these 'hands-off' automated deployments worked.
