- Changed the percentage marker in `kubectl top node` from `%` to `(%)`. ([#126995](https://github.com/kubernetes/kubernetes/pull/126995), [@googs1025](https://github.com/googs1025)) [SIG CLI]

   * default (or empty string): keep same with before.
   * v2: only backoff retry with Azure SDK with fixed exponent 2.
* Set percentage of nodes scored in each cycle dynamically based on the cluster size. ([#72140](https://github.com/kubernetes/kubernetes/pull/72140), [@wgliang](https://github.com/wgliang))

- Ingress:

<img src="/img/deployment/concepts/process-ram.drawio.svg">

Y por supuesto, la misma máquina probablemente tendría **otros procesos** ejecutándose también, aparte de tu aplicación.

Un detalle interesante es que el porcentaje de **CPU utilizado** por cada proceso puede **variar** mucho con el tiempo, pero la **memoria (RAM)** normalmente permanece más o menos **estable**.

<img src="/img/deployment/concepts/process-ram.drawio.svg">

E, claro, a mesma máquina provavelmente teria **outros processos** em execução, além do seu aplicativo.

Um detalhe interessante é que a porcentagem da **CPU usada** por cada processo pode **variar** muito ao longo do tempo, mas a **memória (RAM)** normalmente fica mais ou menos **estável**.

padding-right: $gutter * .5;\n  padding-left: $gutter * .5;\n}\n\n@mixin make-col($size, $columns: $grid-columns) {\n  flex: 0 0 percentage(divide($size, $columns));\n  // Add a `max-width` to ensure content within each column does not blow out\n  // the width of the column. Applies to IE10+ and Firefox. Chrome and Safari\n  // do not appear to require this.\n  max-width: percentage(divide($size, $columns));\n}\n\n@mixin make-col-auto() {\n  flex: 0 0 auto;\n  width: auto;\n  max-width: 100%; // Reset earlier...

 *
 * <p>To compute the median:
 *
 * {@snippet :
 * double myMedian = median().compute(myDataset);
 * }
 *
 * where {@link #median()} has been statically imported.
 *
 * <p>To compute the 99th percentile:
 *
 * {@snippet :
 * double myPercentile99 = percentiles().index(99).compute(myDataset);
 * }
 *
 * where {@link #percentiles()} has been statically imported.
 *

  - `http_404_request_total` (the number of 404 requests handled)
  - `http_404_request_duration_ms` (the amount of time the server took to respond in ms)

  Also includes percentile groupings. The directory for the default 404 handler includes instructions on how to enable prometheus for monitoring and setting alerts.