?(DRY(KIS(afe)S)) => CF(ALB+TLS+SM);

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Intro If you work with AWS, you might be involved in building infrastructure to enable some of your customers (both internal and external) to use a particular service, or just to try one of the hundreds open-source application available on Github. Furthermore, most of the ML/AI tools are shipped in docker containers and the philosophy -> if it runs on docker, it runs everywhere has been spread up to the highest level of management (nice, but… sometimes dangerous ๐Ÿ˜… ed.

A monadic reasoning around function composition in Golang

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Introduction Function composition is something we as developers do every day, more or less. This concept come from Mathematics: if you search on Wikipedia, you find out that function composition is an operation that takes two functions \(f\) and \(g\) and produces a function \(h\) such that \(h(x) = g(f(x))\). In this operation, the function \(g\) is applied to the result of applying the function \(f\) to the input \(x\). That is, the functions \(f: X \rightarrow Y\) and \(g: Y \rightarrow Z\) are composed to yield a function that maps \(x\) in \(X\) to \(g(f(x))\) in \(Z\).

The await/async concurrency pattern in Golang

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Introduction First of all...happy new year! I decided after a while to come back online speaking about Golang. In this post, I will focus on parallelism and concurrency and how you can achieve the same behavioral pattern you can achieve with Node.js using await/async statements, without the difficulties (hopefully) of dealing with Single Threaded Event Loop and these primitives (that, btw, keep things really simple). Let's start! A bit of confusion Concurrency and parallelism are two terms that are bound to come across often when looking into multitasking and are often used interchangeably.

From Jekyll to Hugo, from Travis to Gitlab: a time for changes

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Intro In the last 50 days I had to work a lot for many… many different reasons. The main ones: I was accepted as a Speaker at FullStackConf19 in Turin, talking about coding in mobility. You can find the slide of my speech here and the material I prepared the talk in this Github repo. By the way, I was truly inspired by some of the talks during the conference, and I started brainstorming around the next post; I moved back to Italy and trust me -> it was a pretty complex goal to achieve, with particular regards to my car; I joined Enerbrain and I’m really having fun with theme building smart-energy solution as a Devops Engineer; I joined a softball team - yes, it’s mixed, but it’s officially played also by men hahe.

My team run VSC in the browser and they are just fine - Part II

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Introduction In the first part of this series - I run VSC in the browser and I was just fine - I wrote many stupid things around the possibility of having a VSC server instance running inside AWS over a simple, immutable, ec2 instance. The template {that can be easily deployed by a Lambda function [that can be easily deployed behind a route53 record (that can be easily placed as the endpoint of a custom Slack action)]} let you start your IDE and code from wherever you would like to.

I run VSC in the browser and I am just fine - Part I

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Introduction Serverless and managed things are the best choices if you don’t want to deal with infrastructure (3 2 1: fight) buuuuut…even immutable things are not so bad for this purpose - at least, if they are immutable for real ๐Ÿคฃ Today I wanna talk about a useful way to run an instance(s) of VSC server in AWS and code from everywhere (yes, even your iPad): let’s start! This time I will go native: so no CDK, I’m sorry, but pure Cloudformation instead.

A serverless OCR with Polly and Rekognition unveils the power of stack inheritance in CDK

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Introduction In the last two weeks, I released a few CDK stacks: I made some experiments around API Gateway and service integration that came out in two serverless forms, the Contact Form and the Upload Form, read to be deployed in your static web page ๐Ÿ˜Ž. Actually, with CDK you can do so much more and so much more easily. The last stack I released - a producer-consumer chain presented here - it was a way I used to introduce how you can leverage Typescript inheritance to recycle an old stack and build on top of it.

SQS Extended: a serverless producer/consumer chain

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Introduction A few days ago I wrote about a simple stack that leverage API Gateway and Lambda-proxy integration to create a safe upload endpoint to let unknown users push inside a bucket of your choice. The stack I will present today is can be used to build a producer-consumer chain, by implementing the SQS Extended pattern you can find in AWS exams. For the most curious, here you can find the core code.

Build an upload form with 45 lines of Typescript

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Introduction The AWS CDK is becoming day by day pretty easy to use. I use Typescript, and today I will talk about a common use case: a simple Upload Endpoint for your API Gateway than like a LEGO can be built with a few instructions and of course…without the need of any server. For the most curious, here you can find the core code. Scenario You want to provide an endpoint to upload object: where?

How to deploy a serverless contact form with API Gateway, DynamoDB and SNS

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Introduction Hi everybody, thanks for the claps, it was a great month - rain rain rain again - now I’m back. The only GOOD THING of this terrible May is that AWS CDK came to simplify our life and I started using it (just a little) bit - still, enough to say, sincerely: it’s awesome. I used the Typescript version, everything is broken 2 release out of 3 but the time you save exploring the interfaces instead of looking for Cloudformation documentation online worths the time spending in troubleshooting the ongoing changes.