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IoT Home Automation | Connecting Garage doors (Beninca and ESP8266 controller)

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Configure Azure AD authentication for a web app (App Services)

In this post I will describe the basic steps that needs to be done to configure App Service Authentication using Azure Active Directory.

Out of the box, App Services allows us to put in front of our system an authentication and authorization layer. For basic flows, us described below, the configuration can be done directly from Azure Portal, without having to write a line of code.


Step 1: Enable App Service Authentication
This step can be done directly from Azure Portal, from “Authentication / Authorization” tab.
After this, once you specify that you want to use “Azure Active Directory Provider”, do not forget to select “Log in with Azure Active Directory” from "Action to take when request is not authenticated". This is required if you want to not allow anonymous users to access your web app. By selecting this option, you will redirect unauthenticated users to the login page.
Don’t forget to hit “Save” (smile).

Step 2: Create and configure Azure AD Application
This step is don…

Tips and Tricks to prepare a demo for Azure Time Series Insights

Azure Time Series Insights it is a great tool that can be used to monitor in near-real time your systems and get useful insights about what is happening behind a scene.

In this post, we will talk about things that we need to consider before jumping to prepare a demo with it. There are behaviors that are normal when we go with Time Series Insights in production, but when we are preparing a demo or we want to push mocks data inside it can be annoying (especially when we do not understand the behavior).

Context
I had to deliver 2 presentations and 3 demos about Time Series Insights and I learned in the hard way this kind of things, too long nights before the demos. Based on them I made a checklist that I hope to be useful to others also.

1. Ingress of mock events
One of the most important thing that we need to keep an eye on is the moment when we want to push mock data inside Time Series Insights. In general, we want in a short period to push data for a few days or weeks.
There are two tie…

Chart and dashboards from time perspective (real time, near-real time, consolidation)

In this post we will talk about how we can group charts, dashboards and reports in different categories based on how fast we need to be able to ingest and update data inside them.
Time is a relative term especially when you put it together with business insights and application reporting. There are two important aspects related to time from business and application insights perspective.

1. Time Granularity
The first one is related to the time granularity. In the beginning, most of the business stakeholders require the granularity to be as small as possible, until they realize that there is not too much inside of that and that in order to be able to understand something, the time granularity needs to be increased.
Most of the systems that are available now on the market allow us to change the time internal (granularity) on the fly, enabling us to navigate inside our data from a different time perspective.

2. Time Interval
The second aspect is the time interval, from the moment the data a…

[Post Event] THE APOLLO 13 OF IT, Targu-Mures, November 2017

On November 2018, Endava organized in Targu-Mures a local event dedicated to local community. More than 70 people came to the event to find more about Block chain, coding quality, CD and data privacy inside cloud.
It was a great community event where I meet smart and extraordinary people. I was impressed to find a strong IT community in Targu-Mures. At this community event I had the opportunity to talk about data privacy inside cloud.

Below you can find my session details together with session slides.
Title: WHO IS THE REAL OWNER OF DATA INSIDE THE CLOUD?
Abstract: Once you upload content to a cloud provider you lose the physical control of your data. Who is the real owner of your data from that moment on? You, as the legal owner of the data, or the cloud provider as the guardian? Join this session to find more about the topic. Our main purpose is to understand who ends up having power over the data.
Slides:

Who owns data inside the cloud | Apollo 13, Endava, Targu-Mures, November 2017 f…

[Post Event] CloudBrew 2017, Mechelen (Belgium)

An impressive way to finish the working week. How? Attending to CloudBrew, a conference dedicated to Azure and cloud platform. Every year it's a pleasure for me to take part of such an event.
With only two tracks, it's give you the feeling that you are together with friends and you chat about Azure and beer (smile).
I had the opportunity to deliver an one hour session about Azure Time Series Insights and PowerBI. If you want to find more about this subjects, you can check the abstract and slides, below.
Title: Near-real time reporting in Azure Abstract: One of the most common requirement on a projects nowadays is real time monitoring and reporting. Easy to say, expensive to implement and complex to maintain. In this session we'll take a look on the Azure Services that enable us to fulfil this requirements with minimal effort and with maximum benefits. We have on our radar services like Azure Time Series Insights, Analysis Services and PowerBI. After this session you will kn…

[Post Event] Endava Tech Flow, November 2017, Cluj-Napoca

This week I had the opportunity to participate at Endava Tech Flow. The main topic of this event was AI and Machine Learning. There were more than 100 people that participate to this free event.  Beside local speakers, we had the opportunity to meet J.M Bishop (Director of the Tungsten Centre for Intelligent Data Analytics and Professor of Cognitive Computing at Goldsmiths, University of London) that talked about how dangerous artificial intelligence can be for us.

I also had a short talk about Machine Learning, where I tried to explain what is behind a ML and how does a neural network works. More about my session can be found below. 

Title: The science behind Machine Learning
Abstract: Did you ever ask yourself how Machine Learning works as a system? In this session we will take a look at the science behind Machine Learning systems. We will decrypt the base mathematical concepts that make systems like these work. Once you attend this session you will discover how polynomial expression…