* **Starlette**:
    * Will have the next best performance, after Uvicorn. In fact, Starlette uses Uvicorn to run. So, it probably can only get "slower" than Uvicorn by having to execute more code.
    * But it provides you the tools to build simple web applications, with routing based on paths, etc.

    }
  }

  /** Builds a configured certificate pinner. */
  class Builder {
    val pins = mutableListOf<Pin>()

    /**
     * Pins certificates for `pattern`.
     *
     * @param pattern lower-case host name or wildcard pattern such as `*.example.com`.
     * @param pins SHA-256 or SHA-1 hashes. Each pin is a hash of a certificate's Subject Public Key

On the other hand, if you have 2 servers and you are using **100% of their CPU and RAM**, at some point one process will ask for more memory, and the server will have to use the disk as "memory" (which can be thousands of times slower), or even **crash**. Or one process might need to do some computation and would have to wait until the CPU is free again.

    sdkmanager 'extras;m2repository;com;android;support;constraint;constraint-layout;1.0.0'; \
    sdkmanager 'extras;m2repository;com;android;support;constraint;constraint-layout-solver;1.0.2'; \
    sdkmanager 'patcher;v4'; \
    sdkmanager 'ndk;25.1.8937393'; \
    sdkmanager 'build-tools;27.0.3';

# Install Scoop and packages
RUN iex \"& {$(irm get.scoop.sh)} -RunAsAdmin\"; \

    // it might need this accessor's bytecode.
    //
    // If an accessor function is defined in a different module,
    // IDE tries to acquire its bytecode via the index, however,
    // the index doesn't cover classfiles from compiler output,
    // so the lowering fails.
    //
    // To solve the problem, we need to find all delegated properties with inline accessors

```
cat ${HADOOP_CONF_DIR}/core-site.xml | kv-pairify | grep "mapred"

mapred.maxthreads.generate.mapoutput=2 # Num threads to write map outputs
mapred.maxthreads.partition.closer=0 # Asynchronous map flushers
mapreduce.fileoutputcommitter.algorithm.version=2 # Use the latest committer version
mapreduce.job.reduce.slowstart.completedmaps=0.99 # 99% map, then reduce

  // when this priority class should be used.
  // +optional
  optional string description = 4;

  // preemptionPolicy is the Policy for preempting pods with lower priority.
  // One of Never, PreemptLowerPriority.
  // Defaults to PreemptLowerPriority if unset.
  // +optional
  optional string preemptionPolicy = 5;
}

// PriorityClassList is a collection of priority classes.

disabled will be synced to the target cluster. Depending on the number of previously existing objects, the existing objects that are now eligible to be replicated will eventually be synced to the target cluster as the scanner schedules them. This may be slower depending on the load on the cluster, latency and size of the namespace.

In the rare event that target DR site is entirely lost and previously replicated objects to the DR cluster need to be re-replicated, `mc replicate resync start alias/bucket...

    Because of that, versions of FastAPI previous to 0.99.0 still used versions of OpenAPI lower than 3.1.0.

### Pydantic and FastAPI `examples`

When you add `examples` inside a Pydantic model, using `schema_extra` or `Field(examples=["something"])` that example is added to the **JSON Schema** for that Pydantic model.

  // should be collected, as well as to actually change the replica count.
  optional CrossVersionObjectReference scaleTargetRef = 1;

  // minReplicas is the lower limit for the number of replicas to which the autoscaler
  // can scale down.  It defaults to 1 pod.  minReplicas is allowed to be 0 if the
  // alpha feature gate HPAScaleToZero is enabled and at least one Object or External