Don't use Kubernetes yet
The question of whether to use K8s or not is like wondering what kind of saw you should use to cut wood. There&#x27;s different saws for different purposes. But even with the right saw, you still have to know how to use it correctly. Better to use a hand saw correctly than a table saw incorrectly. (you <i>can</i> use a table saw incorrectly, but best case the work ends up crap, worst case you lose a finger)<p>After building infrastructure for dozens of teams, I&#x27;m quite convinced of the following:<p>- if your people aren&#x27;t very skilled, they won&#x27;t build anything well. most software engineers i&#x27;ve seen professionally working in the cloud are handymen trying to build a wood cabinet.<p>- if your people can&#x27;t build well, it doesn&#x27;t matter what technology they use. choosing between building a cabinet out of metal or cherry wood doesn&#x27;t make much difference if they&#x27;ve never built a cabinet before.<p>- if the first two holds: then only use the technology which requires the least skill to use well, and where the amount of maintenance is closest to zero. don&#x27;t build a wood cabinet from scratch when you can buy flat pack. don&#x27;t buy flat pack when you can buy an assembled cabinet, get it shipped, and carried into your office.<p>- if using the aforementioned technology requires &#x27;building&#x27; or &#x27;assembling&#x27;, and that is not core to the customer-facing aspect of your product, then you should not be building, you should be buying. if your business doesn&#x27;t involve assembling flat pack furniture, don&#x27;t ask your employees to build their own desks and chairs from Home Depot or Ikea parts. buy the premade desk and chairs, use them to make your actual product.<p>- a software engineer knows as much about cloud architecture as a fine woodworker knows about framing. &quot;it&#x27;s all just wood&quot; until the house takes 10x as long to frame and is 10x as expensive and still doesn&#x27;t meet code.<p>- people <i>will</i> try to build things they don&#x27;t fully understand and leave the company before anyone realizes the mess they&#x27;ve made. imagine your retail store is accessible by driving a car over a wooden bridge built by a handyman.