Machine to Machine Authentication with Cognito and Serverless

Introduction Authentication is a problem almost every IT professional has had to deal with at some point in time. Doing it right isn’t easy. What I mean by right is balancing usability and security. AWS attempts to solve this problem with AWS Cognito, which is quite nice of them, because Authentication is exactly the undifferentiated heavy lifting most customers don’t want to deal with themselves. Unfortunately authentication is still a complex topic and Cognito is an abstraction layer for it, which makes it easier, but it’s a fairly low level abstraction conceptually in that you still need to understand most of the concepts involved in order configure it correctly.

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Building a Fargate-based container app with Cognito Authentication

In this post I’m going to show you how to use Cognito User Authentication in combination with a Docker app running in Fargate behind an Application Load Balancer and we’re going to build all this with the Cloud Development Kit (CDK). Why would

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AI and Machine Learning: Impact on Public Affairs?

Hardly any other topic is currently occupying the debates in the business world as much as the impact of artificial intelligence and machine learning (hereafter: AI). The public affairs industry is no exception and will have to adapt to changes. Read the

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Serverless Jenkins on ECS Fargate: Part 2

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the de

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Serverless Jenkins on ECS Fargate: Part 1

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the de

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Serverless Jenkins on ECS Fargate: Part 3

When setting up a Jenkins build server on a physical machine, right-sizing can become a challenging task. Long idle times followed by high, irregular loads make it hard to predict the necessary hardware requirements. One solution to this problem is the de

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