From Cloudformation to CDK: the good, the bad and the evil

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Prelude As you know might be aware of, AWS has quite recently delivered - but it’s still in beta - the AWS Cloud Development Kit (CDK). Indeed, you should also know that I more recently migrated my blog to AWS as part of my migration strategy to the clouds - where my head already sits since 1991. Since I was using a Cloudformation stack though together with one of my colleagues, and since I did some manual changes to it - breaking the rules, I know - I decided it was a good moment to give a chance to CDK.


Software developing and Data science

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Software developing and Data science I recently had the chance to think about software developing and data science: it’s not about the fact that I hate everything that contains the word data inside, but I was somehow interdicted by sentences like this. > [..] we found that - specially with Amazon retail - we can really accelerate the use of machine learning if not everyone needs to be a data scientist.


GraphQL is the new black

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Prelude GraphQL is an open-source data query and manipulation language for APIs and a runtime for fulfilling queries with existing data. GraphQL was developed internally by Facebook in 2012 before being publicly released in 2015 because - believe me or not - it was quite tricky for them dealing with their schema. It allows clients to define the structure of the data required, and exactly the same structure of the data is returned from the server, therefore preventing excessively large amounts of data from being returned.


A serverless blog using CodePipeline, s3 and CloudFront

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Goodbye old blog 😭😭 I disapperead for a while because as you should notice, first of all - I have a new domain. HAHA. It’s not the first one I own, but to be honest it’s the first time I use a domain for myself. So as I was saying yes, this post is about a migration. Morever, since this is the very first cross platform cross domain blog post - I want to share with you what I learnt and what is still missing, how I did what I did but mainly how someelse did what I didn’t.


A journey through the network - Hands on (Part 1)

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Prelude A long long time ago (I can still remember as Madonna sang) I started to wrote some posts about the network. For those who missed the previous posts, you can read the introduction, the physycal layer and the datalink layer respectively. As a main source I use Computer Networks and TCP/IP Illustrated. In the previous posts I had to go into details about how some parts of the physical layer works but - by going forward through the layers - concepts belonging to separate historical standards - OSI and IP - will intertwine and this entails some troubles from a logical point of view.


Security and Docker: tips and tricks

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Introduction Everyone use Docker and normally when something is so diffused, there’s always someone else that try to figure out how to leverage the diffusion to do bad things (you know what happened in Breaking Bad). Only a few months ago it happened that someone pushed some malicious software - cryptomining - over lot of images: this happened because, despite the fact that everyone use Docker, not so many people are really aware about security over Docker.


The Deutsch Algorithm

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Much more than a post (again) What is the quantum theory? As said by quantumexperience official site by IBM, it's an elegant mathematical theory able to explain the counterintuitive behavior of subatomic particles, most notably the phenomenon of entanglement. In the late twentieth century it was discovered that quantum theory applies not only to atoms and molecules, but to bits and logic operations in a computer. This realization has been bringing about a revolution in the science and technology of information processing: I decided to write some notes to better explain, from a physics-agnostic computer scientist's point of view XD, what I understood - and it is certainly wrong - about Q until now and why I think it's an amazing field for computer science.


A Golang Turing machine library

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Preamble In 1962, Hungarian mathematician Tibor Radó introduced the Busy Beaver competition for Turing machines: in a class of machines, find one which halts after the greatest number of steps when started on the empty input. Even if it could seem trivial, the Busy Beaver competition has implications in computability theory, the halting problem, and complexity theory. I decided to use GoLang to implement a Turing machine library and accomplish three goals: first, having a Turing Machine model to play with for learning purpose; second, learning how to use interfaces and the factory pattern, other then testing package to test my code and let it be more flexible for future enhancement (at least I hope!


Smart SPA Shower at home

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Preamble I recently bought 4 small smart bulbs - the latest one you most probably decide to buy for your smart home 😂😂 I think it’s useless talk about what you can do: I will only focus on the important things. They DON’T need an hub; They support Alexa; They support Google Assistant; They support IFTTT; There is an app, called Smart Life (iOS, Android) But most important you can build your small SPA in your bathroom.


Machine Learning is useless

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Preamble I would like to say “recently”, but actually is almost a few years I heard - and I’m still hearing a lot about Machine Learning and I didn’t want to believe it until now - believe me, I truly didn’t want to believe it - but yes here we are Machine Learning ufficially replace Big Data as buzzy word of the this past years, most problably will be still the word of the next year and I could not be more sad, frustrated, and worried about.