​​This is a somewhat opinionated curriculum for learning front-end development during #100DaysOfCode. As it covers a wide range of front-end development topics, it can be thought of as more of a “survey” style course rather than a deep dive into any one area. Ideally, your takeaway from completing this curriculum will be some familiarity with each topic and the ability to easily dive deeper in any area in the future when necessary.

16 minute read

#Tutorials #JavaScript

​​https://t.iss.one/NodeJSNews/18

It seems you cannot go a week without hearing about the next, allegedly faster, so called “web framework” for Node.js.

5 minute read

#NodeJS

https://t.iss.one/WebpackNews/17

​​webpack is a brilliant tool for bundling frontend assets. When things start to slow down, though, its batteries-included nature and the ocean of third-party tooling can make it difficult to optimize. Poor performance is the norm and not the exception. But it doesn’t have to be that way, and so — after many hours of research, trial, and error — what follows is a field guide offering up what we learned on our path towards a faster build.

11 minute read

#Webpack #Performance #Optimization

​​parallel is awesome and belongs in the toolbox of every programmer. But I found the docs a bit overwhelming at first. Fortunately, you can start being useful with parallel with just a few basic commands.

#Bash

​​After reading many articles on Virtual Environments, I learnt a lot about Python and how I should create environments to work with Python. In this article, I’ll share my knowledge on how you can setup these environments using the Terminal.

5 minute read

#Python

​​This article will discuss and demonstrate how to build a scalable promise-based NodeJS library for your apps. With the goal of supporting medium to large scale applications, libraries need to be coherent and manageable, yet be flexible and usable in your promise based execution.

5 minute read

#NodeJS

​​You’ve heard of the IPFS distributed file system and want to start adopting the technology in your stack — after all, a distributed, decentralised future is one that we will inevitably come to see. The industry is making fast progress along the path to achieving that goal in the software space.

#IPFS

​​​​Microservices is an architectural style that describes software design as independently deployable, loosely coupled services which are modelled around particular business domain.

6 minute read

#MicroServices

​​From the beginning, Discord has been an early adopter of Elixir. The Erlang VM was the perfect candidate for the highly concurrent, real-time system we were aiming to build. We developed the original prototype of Discord in Elixir; that became the foundation of our infrastructure today. Elixir’s promise was simple: access the power of the Erlang VM through a much more modern and user-friendly language and toolset.

8 minute read

#Elixir #Erlang

​​Ansible is a beautifully simple agentless (and serverless) Configuration Management (CM) tool for configuration management, provisioning, and deployment.

14 minute read

#Ansible #Vagrant #Docker #Jenkins #Gitlab

​​In our life as X-Ops — i.e. roles like DevOps, CloudOps, GitOps, SysOps — we focus on building infra-as-code. We frequently use Docker to build and test, commit and pull the code to/from repositories, and when all tests pass, infra moves in production — completely automated.

6 minute read

#DevOps

What’s your optimal reading time for an article? ⏰
public poll

0-5 minutes – 13
👍👍👍👍👍👍👍 59%
Sherlock, @touhidrahman, @Arminops, @WanMFi, Jasto, @rhynl, Julia Dizhak, @atrangee, Kimunya, H¥DRA Mohit, @dsantarelli, Gaurav, Gaurav

5-10 minutes – 4
👍👍 18%
@eadlazaro, @anurag0510, @Sharma957, Tal

15 minutes and longer – 3
👍👍 14%
@Nagato_Pain, @Mercury_5, @ashishdesai21

10-15 minutes – 1
👍 5%
Yana

I prefer various articles – 1
👍 5%
@iamskok

👥 22 people voted so far.

​​I’ve been working in DevOps for a while now, and I’ve yet to come across a tool that didn’t have something odd about its name. It’s either got a backstory, a meaning, or it’s Greek. I don’t know why, but I’d postulate that it’s because the market is completely flooded with tools, and you need yours to stand out, so you can make money — either from the tool itself, or a support package.

#DevOps

​​Last week, I found myself caught in the firing range of functional programmers — all because I dared put forward an alternative mode of thinking for JavaScript. This is probably also the first time I’ve ever gotten hate and love mail, public condemnation, accolades and tweets for something that had innocent intentions and origins. Somehow, I also managed to get myself labeled a purist, among other things.

#FP #OOP

​​I know there are plenty of places online (StackOverflow, MDN) that can be an excellent resource for exploring loops and Array iterable methods. But… sometimes it’s good to write about something just so that these patterns settle in your mind and the knowledge is cemented for good. As a result, I found some things I didn’t know existed. In this article I’ll share them with anyone who needs to get a better insight into loops!

12 minute read

#JavaScript

​​This article covers how to implement a service worker that caches POST requests with GraphQL APIs.

10 minute read

#Cache #GraphQL #ServiceWorkers

​​Today most of the legacy backend systems are based on the REST(REpresentational State Transfer), but from the last 2–3 years “Graph QL” AKA replacement for REST, a new way to serve data is getting popular. So what is it, why to use it and how to use it, we will discuss all about GrapQL .

9 minute read

#GraphQL #ServerLess #React

​​At mitter.io, we have a couple of public-facing npm packages that we need to publish, and we recently moved to a mono-repo structure managed by Lerna from having separate repositories for each one of them. Today, I’d like to share our experience of this migration and our setup with the new monorepo structure.

9 minute read

#Git #Lerna

​​As part of my personal journey to gain a better understanding of Deep Learning, I’ve decided to build a Neural Network from scratch without a deep learning library like TensorFlow. I believe that understanding the inner workings of a Neural Network is important to any aspiring Data Scientist.

6 minute read

#NeuralNetwork #DeepLearning #DataScience