To send an email with AWS services, there are two options, either connecting directly to the AWS SMTP server with SMTP protocols, but then you have to open SMTP ports (587 or 25 usually).
Otherwise you can use the AWS API which are bunch of REST API services that you can call them over HTTPS.
AWS SES API has two options to send emails as described in the documentation:
In order to send raw email with embedded images, you can just find some code on stackoverflow, but I will try in this post to describe what is going on, and how raw email works, so you can understand the process in details.
Date-Time data type is a complex issue. Complex enough to make you confuse overtime you are writing code that return dates from the web server to the browser.
ASP.NET MVC 5 and Web API 2 serialize dates differently, which might create more confusion for developers who are using both serializations in one web application.
I am trying to cover everything you need to know about Date and Date serialization to JSON, in ASP.NET, and what issues are related to them.
Web API 2 introduced the new interface IHttpActionResult to return back REST responses, where Web API 1 was using the class HttpResponseMessage to represent HTTP response, and HTTPResponseException to represent HTTP response error.
IHttpActionResult allows developers to enhance their Web API 1 code to be :
We are going to unleash the potential of this interface and see some creative ideas on how to use it.
Technology of big data is booming and moving fast, and one of the major sector of big data booming is the requirements to process and analyze real time data that is helping lots of industries using real time data, from IoT, to the analyzing social networks.
But real time data has its challenges, which the industry answered with many different solutions.
In this post we are going to cover the technical solutions in AWS for streaming real time data.
Big Data Analytics used to be an activity that require powerful computers and very high specialized skills. But with the cloud computing, you can have huge computing power installed, and configured in few button clicks.
AWS as an example provide a wide veriety of different kind of data analysis services, each one will do a specific job. We can use these services as building blocks to build any application that deal with big data analysis.
AWS services shine on big data, and they can handle Peta-byte size databases, with high performance.
In this post and following posts, I am going to describe these services, and how to use them. At the end, I am going to show how to use different kind of services to build a monitoring and diagnostic tool for an IIS web site application.