Because `Annotated` is **standard Python**, you still get all the **benefits** from editors and tools, like **autocompletion**, **inline errors**, etc.

exclusive CPU cores.  This helps performance in a variety of use-cases, including network latency sensitive applications, as well as applications that benefit from CPU cache residency.  Next, [Huge Pages](https://kubernetes.io/docs/tasks/manage-hugepages/scheduling-hugepages/), which allows pods to consume either 2Mi or 1Gi Huge Pages.  This benefits applications that consume large amounts of memory.  Use of Huge Pages is a common tuning recommendation for databases and JVMs.  Finally, the [Device...

version of golang it is compiled with to go1.18, which introduced significant changes to its garbage collection algorithm. As a result, we observed an increase in memory usage for kube-apiserver in larger an heavily loaded clusters up to ~25% (with the benefit of API call latencies drop by up to 10x on 99th percentiles). If the memory increase is not acceptable for you you can mitigate by setting GOGC env variable (for our tests using GOGC=63 brings memory usage back to original value, although the exact...

* Resolves an issue serving aggregated APIs backed by services that respond to requests to `/` with non-2xx...