Monday, July 8, 2019

Validating SSL Certificate in .Net C#




.Net console application to get the site certificate to validate and show cert info.


using System;
using System.Net;
using System.Net.Security;
using System.Security.Cryptography.X509Certificates;
using System.Security;

namespace CertValidate

{
    class Program
    {
       
                
        static void Main(string[] args)
        {

            while (true) {


                Console.WriteLine("Enter Full URL");

               CheckSite(Console.ReadLine());
            }
        }


        public static void CheckSite(string URL) {


              

            HttpWebRequest request = WebRequest.CreateHttp(URL);
            request.ServerCertificateValidationCallback += ServerCertificateValidationCallback;
            using (HttpWebResponse response = (HttpWebResponse)request.GetResponse()) { }
            Console.WriteLine("End.");
             
        }

        private static bool ServerCertificateValidationCallback(object sender, X509Certificate certificate, X509Chain chain, SslPolicyErrors sslPolicyErrors)

        {

            if (sslPolicyErrors == SslPolicyErrors.None)

            {
                Console.WriteLine("Certificate OK");
                Console.WriteLine(certificate.ToString());
                return true;
            }
            else
            {
                Console.WriteLine("Certificate ERROR");
                return false;
            }
        }

    }


}


Monday, July 1, 2019

Microsoft for Healthcare Demo


Teams, Azure IoT, AI, ML, Power BI, Dynamics 365, Flow & Virtual Agents (Bots)
Demo Timestamps:
1:43 Demonstration background
3:02 Microsoft Teams for Healthcare
3:15 Microsoft Teams with Dynamics 365 for Healthcare
3:55 Dynamics 365 Patient 360
4:05 Risk Ratings using Azure Machine Learning AI
4:45 Azure IoT for Health
5:05 Power BI with Dynamics 365
6:52 HEDIS Measures
7:32 Dynamics 365 Playbooks for Healthcare
10:01 Power BI Analytics for Care Coordination
11:32 Dynamics 365 Marketing - Segmentation for Healthcare
12:32 Dynamics 365 Marketing - Patient Care Journey
13:00 SMS Text Message for Patient Outreach
13:59 Virtual Agent (Bot) for Patient Care Coordination
15:51 Mobile Virtual Care using Xamarin, Dynamics 365, Azure & Flow
16:36 Microsoft Bot Framework for Patient Coordination
17:02 Mobile way finder with Xamarin & Azure
19:11 Unified Service Desk for Healthcare
20:07 Smart Scheduling with Kyruus 
20:55 Electronic Medical Record Integration
21:10 Physician Scheduling
21:48 Transportation scheduling (Uber & Lyft)

 

-Marc Schweigert
-Jean-Paul Mehanna
-Satish Thomas & Ryan Martin
-Chris Stedman
-Chris Stedman
Episode 13Dynamics 365 CRM Online vs On Premises: The Customer Advantages of Online & The Microsoft Cloud 
- Zandy Garrard
Episode 14) Demo - ‘Delivering Intelligent Service with Azure IoT, Microsoft Power Apps, Dynamics 365 & Flow’ 
-Jack Bender
– Geoff Innis
–Scott Sewell
- Edgar Wilson II & Matthew C. Anderson

Thursday, July 12, 2018

Azure Solution Accelerator


If you want to get hands-on experience building great solutions, Azure Accelerator will give you a kickstart. Visit https://www.azureiotsolutions.com and start a great solution in a few seconds.

Choose Remote Monitoring

Try Remote Monitoring
Connect and monitor your devices to analyze untapped data and improve business outcomes by automating processes.https://docs.microsoft.com/en-us/azure/iot-accelerators/quickstart-remote-monitoring-deploy
Solution dashboard

Thursday, June 21, 2018

Rise of Blazor!

Blazor is a .NET web framework which runs in the browser. Think Angular or React but powered by C# and Razor. Developers create Blazor applications using a mixture of C#, Razor and HTML. These applications execute .NET assemblies using the Mono .NET runtime implemented via WebAssembly. Blazor uses the latest web standards and requires no additional plugins or addons to run, this is a not another Silverlight.
See full article by Chris Sanity here...
Or  write your first program here...

Saturday, February 24, 2018

Top 10 Algorithms to Know to Become a Data Scientist

These are the 10 most important machine learning algorithms that you need to master to break into the field: • Linear regression - https://lnkd.in/gZsqvir • Logistic regression - https://lnkd.in/guQ9upd • SVM - https://lnkd.in/g3NxzjC • Random forest - https://lnkd.in/gMrNiRR • Gradient boosting - https://lnkd.in/ggmktnB • PCA - https://lnkd.in/gj_f4mp • K-means clustering - https://lnkd.in/g9FZFfk • Collaborative filtering - https://lnkd.in/gtE5HRB • kNN - https://lnkd.in/gUvEqsR • ARIMA - https://lnkd.in/grwBJNd

Sunday, February 11, 2018

Thursday, January 11, 2018