3. Bring down couple of MinIO instances to bring down the Erasure Set tolerance to -1 and verify the same with `mc admin prometheus metrics ALIAS | grep minio_cluster_health_erasure_set_status`
4. Wait for 5 mins (as alert is configured to be firing after 5 mins), and verify that you see an entry in webhook for the alert as well as in Prometheus console as shown below

```json
{
  "receiver": "web\\.hook",
  "status": "firing",
  "alerts": [
    {

// the cache can theoretically store as many elements as possible.
// (1 << 63) - 1 is the maximum value that an int64 type can represent.
const (
	defaultMaxSize = math.MaxInt
	// defaultTTL defines the default time-to-live (TTL) for each cache entry.
	// When the TTL for cache entries is not specified, each cache entry will expire after 24 hours.
	defaultTTL = time.Hour * 24
)

    * A les meilleures performances, étant donné qu'il n'a pas beaucoup de code mis-à-part le serveur en lui-même.
    * On n'écrit pas une application avec uniquement Uvicorn. Cela signifie que le code devrait inclure plus ou moins, au minimum, tout le code offert par Starlette (ou **FastAPI**). Et si on fait cela, l'application finale apportera les mêmes complications que si on avait utilisé un framework et que l'on avait minimisé la quantité de code et de bugs.

var ErrTooLarge = errors.New("bytes.Buffer: too large")
var errNegativeRead = errors.New("bytes.Buffer: reader returned negative count from Read")

const maxInt = int(^uint(0) >> 1)

// Bytes returns a slice of length b.Len() holding the unread portion of the buffer.
// The slice is valid for use only until the next buffer modification (that is,

	int ServerGetInfo([in,string,unique] wchar_t *servername,
			[in] int level,
			[out,switch_is(level)] ServerInfo *info);

	typedef struct {
		uint32_t elapsedt;  
		uint32_t msecs;  
		uint32_t hours;  
		uint32_t mins;  
		uint32_t secs;  
		uint32_t hunds;
		uint32_t timezone;  
		uint32_t tinterval;  
		uint32_t day;  
		uint32_t month;  
		uint32_t year;  
		uint32_t weekday;
	} TimeOfDayInfo;

	[op(0x1c)]

	int ServerGetInfo([in,string,unique] wchar_t *servername,
			[in] int level,
			[out,switch_is(level)] ServerInfo *info);

	typedef struct {
		uint32_t elapsedt;  
		uint32_t msecs;  
		uint32_t hours;  
		uint32_t mins;  
		uint32_t secs;  
		uint32_t hunds;
		uint32_t timezone;  
		uint32_t tinterval;  
		uint32_t day;  
		uint32_t month;  
		uint32_t year;  
		uint32_t weekday;
	} TimeOfDayInfo;

	[op(0x1c)]

Au final, dans les deux situations, il est fort probable que **FastAPI** soit tout de même [plus rapide](index.md#performance){.internal-link target=_blank} que (ou au moins de vitesse égale à) votre framework précédent.

### Dépendances

`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the
inherent ones from multitenant configurations. The primary areas of concern are
tenant isolation, resource allocation, model sharing and hardware attacks.

### Tenant isolation

        public int msecs;
        /**
         * The current hour (0-23).
         */
        public int hours;
        /**
         * The current minute (0-59).
         */
        public int mins;
        /**
         * The current second (0-59).
         */
        public int secs;
        /**
         * The current hundredth of a second (0-99).
         */
        public int hunds;

            // Control character will be caught in strict mode
            strictValidator.validatePath("//server\u0001/share");
        });

        // Note: Proper UNC validation would require fixing the normalization to preserve \\
        // for UNC paths. Current implementation can't distinguish UNC paths after normalization.
    }

    @Test
    public void testInvalidUncServerName() throws Exception {