setting](/pkg/crypto/tls/#ConnectionState.ExportKeyingMaterial).

Go 1.22 changed how the runtime interacts with transparent huge pages on Linux.
In particular, a common default Linux kernel configuration can result in
significant memory overheads, and Go 1.22 no longer works around this default.
To work around this issue without adjusting kernel settings, transparent huge
pages can be disabled for Go memory with the

  // There are a few design constraints to consider
  // * We want to be responsive to small timeouts, unpark() has non trivial latency overheads (I
  //   have observed 12 micros on 64-bit linux systems to wake up a parked thread). So if the
  //   timeout is small we shouldn't park(). This needs to be traded off with the cpu overhead of
  //   spinning, so we use SPIN_THRESHOLD_NANOS which is what AbstractQueuedSynchronizer uses for
  //   similar purposes.

  // and is immutable.
  optional string handler = 2;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  //  https://kubernetes.io/docs/concepts/scheduling-eviction/pod-overhead/
  // +optional
  optional Overhead overhead = 3;

  // scheduling holds the scheduling constraints to ensure that pods running

  // requirements, and is immutable.
  optional string runtimeHandler = 1;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  // https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  optional Overhead overhead = 2;

  // scheduling holds the scheduling constraints to ensure that pods running

  // and is immutable.
  optional string handler = 2;

  // overhead represents the resource overhead associated with running a pod for a
  // given RuntimeClass. For more details, see
  // https://git.k8s.io/enhancements/keps/sig-node/688-pod-overhead/README.md
  // +optional
  optional Overhead overhead = 3;

  // scheduling holds the scheduling constraints to ensure that pods running

## Compiler {#compiler}

The build time overhead to building with [Profile Guided Optimization](/doc/pgo) has been reduced significantly.
Previously, large builds could see 100%+ build time increase from enabling PGO.
In Go 1.23, overhead should be in the single digit percentages.

## Assembler {#assembler}

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have the same overhead as if it was built using FastAPI. And in many cases, this data validation and serialization...

Blocking APIs may be inefficient because you hold a thread idle while waiting on the network. Threads are expensive because they have both a memory overhead and a context-switching overhead.

#### Framed protocols

class DirFileEntryEnumIterator1 extends DirFileEntryEnumIteratorBase {

    private static final Logger log = LoggerFactory.getLogger(DirFileEntryEnumIterator1.class);
    private static final int FIND_OVERHEAD = 100; // plenty enough

    private Trans2FindNext2 nextRequest;
    private Trans2FindFirst2Response response;

    * Wenn Sie Uvicorn vergleichen, vergleichen Sie es mit Anwendungsservern wie Daphne, Hypercorn, uWSGI, usw.
* **Starlette**: