# TODO: It would be very nice to avoid having this list somehow, but it needs to be defined in YAML and not in JS for the looping template to work
# Keys like `- build_infrastructure:` do not mean anything, they just need to be unique
# The `name:` field specifies the platform label, e.g. `name: build_infrastructure` => `platform:build_infrastructure` label

 *  * Preemptive proxy authentication failed.
 *
 * Planning failures are not necessarily fatal. For example, even if we can't DNS lookup the first
 * proxy in a list, looking up a subsequent one may succeed.
 */
internal class FailedPlan(e: Throwable) : RoutePlanner.Plan {
  val result = RoutePlanner.ConnectResult(plan = this, throwable = e)

  override val isReady = false

    end
    Client--Plain-->CZ
    CZ-."HBONE (target)".->Server
    CZ--"HBONE (actual)"-->SZ
    SZ--Plain-->Server
```

### Pooling

User connections can be multiplexed over shared HBONE connections.
This is done through standard HTTP/2 pooling.
The pooling is keyed off the `{source identity, destination identity, destination ip}`.

### Headers

Ztunnel uses the following well-known headers in HBONE:

[19499] [INFO] Listening at: http://0.0.0.0:80 (19499)
[19499] [INFO] Using worker: uvicorn.workers.UvicornWorker
[19511] [INFO] Booting worker with pid: 19511
[19513] [INFO] Booting worker with pid: 19513
[19514] [INFO] Booting worker with pid: 19514
[19515] [INFO] Booting worker with pid: 19515
[19511] [INFO] Started server process [19511]
[19511] [INFO] Waiting for application startup.

    the stream only or the entire connection. With this fix OkHttp will now send HTTP/2 pings after
    a stream timeout to determine whether the connection should remain eligible for pooling.

 *  Fix: Don't call `EventListener.responseHeadersStart()` or `responseBodyStart()` until bytes have
    been received. Previously these events were incorrectly sent too early, when OkHttp was ready to

#### Enterprise integration

Provides cross-cutting integration with Gradle's commercial product.

#### IDE integration

Provides cross-cutting integration with IDEs and other tooling.

#### Build infrastructure

Provides build logic, libraries, test suites and infrastructure to support developing and releasing Gradle.

#### Documentation

### Enterprise integration

Provides cross-cutting integration with Gradle's commercial product.

### IDE integration

Provides cross-cutting integration with IDEs and other tooling.

### Build infrastructure

Provides build logic, libraries, test suites and infrastructure to support developing and releasing Gradle.

### Documentation

[Prometheus](https://prometheus.io) is a cloud-native monitoring platform. Prometheus offers a multi-dimensional data model with time series data identified by metric name and key/value pairs. The data collection happens via a pull model over HTTP/HTTPS. Users looking to monitor their MinIO instances can point Prometheus configuration to scrape data from following endpoints. 

- MinIO exports Prometheus compatible data by default as an authorized endpoint at `/minio/v2/metrics/cluster`. 

    {!> ../../../docs_src/response_model/tutorial003_01.py!}
    ```

With this, we get tooling support, from editors and mypy as this code is correct in terms of types, but we also get the data filtering from FastAPI.

How does this work? Let's check that out. 🤓

### Type Annotations and Tooling

First let's see how editors, mypy and other tools would see this.

    ): Collection<KtSymbol> {
        // If the cursor position is on the label of `super`, we want to resolve to the current class. FIR represents `super` as
        // accessing the `super` property on `this`, hence this weird looking if condition. In addition, the current class type is available
        // from the dispatch receiver `this`.