* Any IO - writing to files or network should be done asynchronously.
 */
internal abstract class ConnectionListener {
  /**
   * Invoked as soon as a call causes a connection to be started.
   */
  open fun connectStart(
    route: Route,
    call: Call,
  ) {}

  /**
   * Invoked when a connection fails to be established.
   */
  open fun connectFailed(
    route: Route,

app = FastAPI()


@app.get("/events", response_class=EventSourceResponse)
async def stream_events() -> AsyncIterable[ServerSentEvent]:
    yield ServerSentEvent(data={"status": "started"}, event="status", id="1")
    yield ServerSentEvent(data={"progress": 50}, event="progress", id="2")
```

Use `raw_data` instead of `data` to send pre-formatted strings without JSON encoding:

```python

Und dann leitet Traefik seine Requests an Ihren Uvicorn weiter, der unter `http://127.0.0.1:8000` läuft.

Starten Sie nun Traefik:

<div class="termy">

```console
$ ./traefik --configFile=traefik.toml

INFO[0000] Configuration loaded from file: /home/user/awesomeapi/traefik.toml
```

</div>

Und jetzt starten Sie Ihre Anwendung mit Uvicorn, indem Sie die Option `--root-path` verwenden:

<div class="termy">

    * If you are comparing Starlette, compare it against Sanic, Flask, Django, etc. Web frameworks (or microframeworks).
* **FastAPI**:
    * The same way that Starlette uses Uvicorn and cannot be faster than it, **FastAPI** uses Starlette, so it cannot be faster than it.

You can use this template to get started, as it includes a lot of the initial set up, security, database and some API endpoints already done for you.

GitHub Repository: [Full Stack FastAPI Template](https://github.com/tiangolo/full-stack-fastapi-template)

		"Total number of bucket scans finished since server start")
	scannerBucketScansStartedMD = NewCounterMD(scannerBucketScansStarted,
		"Total number of bucket scans started since server start")
	scannerDirectoriesScannedMD = NewCounterMD(scannerDirectoriesScanned,
		"Total number of directories scanned since server start")
	scannerObjectsScannedMD = NewCounterMD(scannerObjectsScanned,

			return err
		}
		if _, err := io.WriteString(w.cw, h.Comment); err != nil {
			return err
		}
	}
	end := w.cw.count

	records := uint64(len(w.dir))
	size := uint64(end - start)
	offset := uint64(start)

	if f := w.testHookCloseSizeOffset; f != nil {
		f(size, offset)
	}

	if records >= uint16max || size >= uint32max || offset >= uint32max {
		var buf [directory64EndLen + directory64LocLen]byte

     * this operation is executing, not all of those new 1's may be set in the final state of this
     * LockFreeBitArray. The ONLY guarantee provided is that all the bits that were set in the other
     * LockFreeBitArray at the start of this method will be set in this LockFreeBitArray at the end
     * of this method.
     */
    void putAll(LockFreeBitArray other) {

                }
            });
            readThreads[i].start();
        }

        // Wait for all threads
        for (Thread thread : updateThreads) {
            thread.join(5000);
        }
        for (Thread thread : readThreads) {
            thread.join(5000);
        }

        // Verify final state
        assertEquals(100, entry.getChildren().size());

This document explains how to setup Prometheus and configure it to scrape data from MinIO servers.

## Prerequisites

To get started with MinIO, refer [MinIO QuickStart Document](https://docs.min.io/community/minio-object-store/operations/deployments/baremetal-deploy-minio-on-redhat-linux.html).
Follow below steps to get started with MinIO monitoring using Prometheus.

### 1. Download Prometheus