trace: Optional[Operation] = None
    servers: Optional[List[Server]] = None
    parameters: Optional[List[Union[Parameter, Reference]]] = None


class SecuritySchemeType(Enum):
    apiKey = "apiKey"
    http = "http"
    oauth2 = "oauth2"
    openIdConnect = "openIdConnect"


class SecurityBase(BaseModelWithConfig):
    type_: SecuritySchemeType = Field(alias="type")

                provided in one of multiple optional ways (for example, in a query
                parameter or in an HTTP Bearer token).
                """
            ),
        ] = True,
    ):
        self.model: APIKey = APIKey(
            **{"in": APIKeyIn.query},  # type: ignore[arg-type]
            name=name,
            description=description,
        )
        self.scheme_name = scheme_name or self.__class__.__name__

	// DefaultKeyID is the key ID used when
	// no explicit key ID is specified for
	// a cryptographic operation.
	DefaultKeyID string

	// APIKey is an credential provided by env. var.
	// to authenticate to a KES server. Either an
	// API key or a client certificate must be specified.
	APIKey kes.APIKey

	// Certificate is the client TLS certificate
	// to authenticate to KMS via mTLS.
	Certificate *certs.Certificate

In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

There's also the chance that for some reason you have a **spike** of usage of your API. Maybe it went viral, or maybe some other services or bots start using it. And you might want to have extra resources to be safe in those cases.

				logger.Fatal(err, fmt.Sprintf("Failed to parse KES API key from %q", env.Get(kms.EnvKESAPIKey, "")))
			}
			kmsConf = kms.Config{
				Endpoints:    endpoints,
				DefaultKeyID: env.Get(kms.EnvKESKeyName, ""),
				APIKey:       key,
				RootCAs:      rootCAs,
			}
		} else {
			loadX509KeyPair := func(certFile, keyFile string) (tls.Certificate, error) {
				// Manually load the certificate and private key into memory.

	smallFileThreshold = 128 * humanize.KiByte // Optimized for NVMe/SSDs

	// For hardrives it is possible to set this to a lower value to avoid any
	// spike in latency. But currently we are simply keeping it optimal for SSDs.

	// bigFileThreshold is the point where we add readahead to put operations.
	bigFileThreshold = 128 * humanize.MiByte