people talk about "one change, everywhere, all at once." That is a great way to break production on any api change. if you have a db and >2 nodes, you will have the old system using the old schema and the new system using the new schema unless you design for forwards-backwards compatible changes. While more obvious with a db schema, it is true for any networked api. At some point, you will have many teams. And one of…
I think I disagree. We have a monorepo, we use automated code generation (openapi-generator) for API clients for each service derived from an OpenAPI.json generated by the server framework. Service client changes cascade instantly. We have a custom CI job that trawls git and figures out which projects changed (including dependencies) as to compute which services need to be rebuilt/redeployed. We may just not be at sc…
> We may just not be at scale—thank God. We a small team.
It's perfectly acceptable for newer companies and small teams to not solve these problems. If you don't have customers who care that your website might go down for a few minutes during a deploy, take advantage of that while you can. I'm not saying that out of arrogance or belittlement or anything; zero-downtime deployments and maintaining backwards compatibility have an engineering cost, and if you don't have to pay that cost, then don't! But you should at least be cognizant that it's an engineering decision you're explicitly making.