* - kubeadm upgrade apply supports all standard ways of specifying version via labels. Examples: stable-1.8, latest-1.8, ci/latest-1.9 and similar.
* - kubeadm 1.9 will detect and fail init or join pre-flight checks if kubelet is lower than 1.8.0-alpha ([#52913](https://github.com/kubernetes/kubernetes/pull/52913), [@kad](https://github.com/kad))

Ce n'est même pas du Python, NestJS est un framework JavaScript (TypeScript) NodeJS inspiré d'Angular.

Il réalise quelque chose de similaire à ce qui peut être fait avec Flask-apispec.

### Storage

 * all the dependencies.</p>
 *
 * <p>The <dfn>Dependency graph flattening</dfn> process in Maven involves reducing a complex,
 * multi-level dependency graph to a simpler list where only the most relevant version of each artifact
 * (based on groupId and artifactId) is retained, resolving conflicts and eliminating duplicates to ensure
 * that each dependency is included only once in the final build.</p>

   * #isPublicSuffix() public suffix}. For example, for {@code x.adwords.google.co.uk} it returns
   * {@code google.co.uk}, since {@code co.uk} is a public suffix. Similarly, for {@code
   * myblog.blogspot.com} it returns the same domain, {@code myblog.blogspot.com}, since {@code
   * blogspot.com} is a public suffix.
   *

You can build your own connection spec with a custom set of TLS versions and cipher suites. For example, this configuration is limited to three highly-regarded cipher suites. Its drawback is that it requires Android 5.0+ and a similarly current webserver.

```java
ConnectionSpec spec = new ConnectionSpec.Builder(ConnectionSpec.MODERN_TLS)
    .tlsVersions(TlsVersion.TLS_1_2)
    .cipherSuites(

 * Object#equals}.
 *
 * <p>The collections returned by {@code keySet} and {@code asMap} iterate through the keys
 * according to the key comparator ordering or the natural ordering of the keys. Similarly, {@code
 * get}, {@code removeAll}, and {@code replaceValues} return collections that iterate through the
 * values according to the value comparator ordering or the natural ordering of the values. The

   * during which the {@code RateLimiter} smoothly ramps up its rate, until it reaches its maximum
   * rate at the end of the period (as long as there are enough requests to saturate it). Similarly,
   * if the {@code RateLimiter} is left <i>unused</i> for a duration of {@code warmupPeriod}, it
   * will gradually return to its "cold" state, i.e. it will go through the same warming up process

  /*
   * TODO: consider adding MultisetFeatures.SUPPORTS_SET_COUNT. Currently we
   * assume that using setCount() to increase the count is permitted iff add()
   * is permitted and similarly for decrease/remove(). We assume that a
   * setCount() no-op is permitted if either add() or remove() is permitted,
   * though we also allow it to "succeed" if neither is permitted.
   */

So we have a dedicated thread for every socket that just reads frames and dispatches them.

The reader thread must never run application-layer code. Otherwise one slow stream can hold up the entire connection.