> Sometimes you have to optimize for your development time first and product
> development goals, and leave the optimization till you get a bit of runway.
That's a typical way to postpone and fall into a trap. Not all optimizations take huge amounts of time. And certainly there are some architectural decisions you can take early on that can save you a lot of wasted time later. The most common is to prevent bottlenecks.
For example, it's not necessary to make a clustered DB from launch day but coding and managing the UI and middle-ware to be ready for a switch to clustered DB usually takes very little impact. If you don't do this and the site becomes successful, re-engineering your whole site to support a new DB is usually close to impossible or extremely expensive. The site ends up in the DB hardware feedback trap just like in the article.
Architectural decisions also limit what you can do later. Generally, the more focussed/optimized a system the less flexible. To the extent you KNOW exactly what the system should do, it should be optimized from the beginning; but, as PG points out repeatedly, most startups change direction at least once after launch.
> development goals, and leave the optimization till you get a bit of runway.
That's a typical way to postpone and fall into a trap. Not all optimizations take huge amounts of time. And certainly there are some architectural decisions you can take early on that can save you a lot of wasted time later. The most common is to prevent bottlenecks.
For example, it's not necessary to make a clustered DB from launch day but coding and managing the UI and middle-ware to be ready for a switch to clustered DB usually takes very little impact. If you don't do this and the site becomes successful, re-engineering your whole site to support a new DB is usually close to impossible or extremely expensive. The site ends up in the DB hardware feedback trap just like in the article.
Edit: format fix.