Lets start the lambda handler.

```
python lambda_handler.py
 * Serving Flask app 'webhook'
 * Debug mode: off
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
```

                                concurrentLimiter.recordFailure("user" + threadId, "192.168.2." + threadId);
                                localFailures++;
                                // Prevent lockout by resetting after 3 failures
                                if (localFailures >= 3) {
                                    concurrentLimiter.recordSuccess("user" + threadId, "192.168.2." + threadId);

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│  Serving at: http://127.0.0.1:8000                  │</font></span>
 <span style="background-color:#C4A000"><font color="#2E3436">│                                                     │</font></span>

For example, an 16-server distributed setup with 200 drives per node would continue serving files, up to 4 servers can be offline in default configuration i.e around 800 drives down MinIO would continue to read and write objects.

        }

        if (domain == null) {
            return null;
        }

        domain = domain.toLowerCase();

        if (log.isTraceEnabled()) {
            log.trace(String.format("Resolving \\%s\\%s%s", domain, root, path != null ? path : ""));
        }

        DfsReferralDataInternal dr = null;
        final long now = System.currentTimeMillis();
        synchronized (this.domainsLock) {

- Kubeadm: add the deprecated flag --port=0 to kube-controller-manager and kube-scheduler manifests to disable insecure serving. Without this flag the components by default serve (e.g. /metrics) insecurely on the default node interface (controlled by --address). Users that wish to override this behavior and enable insecure serving can pass a custom --port=X via kubeadm's "extraArgs" mechanic for these components. ([#92720](https://github.com/kubernetes/kubernetes/pull/92720),...

// An optional error can be sent which will be picked as text only error,
// without its original type by the receiver.
// waitForHTTPResponse should be used to the receiving side.
func keepHTTPReqResponseAlive(w http.ResponseWriter, r *http.Request) (resp func(error), body io.ReadCloser) {
	bodyDoneCh := make(chan struct{})
	doneCh := make(chan error)
	ctx := r.Context()
	go func() {

     *
     * @param authorityServerName
     *            The FQDN of the server that is an authority for the SID.
     * @param tc
     *            Context to use
     * @throws IOException if there is an error resolving the SID
     */
    public void resolve(final String authorityServerName, final CIFSContext tc) throws IOException {
        final SID[] sids = new SID[1];
        sids[0] = this;

    /**
     * Configures this request's body to be compressed when it is transmitted. This also adds the
     * 'Content-Encoding: gzip' header.
     *
     * Only use this method if you have prior knowledge that the receiving server supports
     * gzip-compressed requests.
     *
     * It is an error to call this multiple times on the same instance.
     *