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It’s almost guarantee-worthy, really. From novices to experts, from architecture down to ASM, and optimizing anything from machine performance to developer performance, chances are quite good that you and your team are short-circuiting your own goals.
What? Me? My team?
That’s a pretty hefty accusation to level. Let me explain.
Optimization is not the holy grail, but it can be just as difficult to obtain. I want to share with you a few simple tips (and a mountain of pitfalls) to help transform your team’s experience from one of self-sabotage to one of harmony, fulfillment, balance, and, eventually, optimization.

What Is Premature Optimization?

Premature optimization is attempting to optimize performance:
  1. When first coding an algorithm
  2. Before benchmarks confirm you need to
  3. Before profiling pinpoints where it makes sense to bother optimizing
  4. At a lower level than your project currently dictates
Now, I’m an optimist, Optimus.
At least, I’m going to pretend to be an optimist while I write this article. For your part, you can pretend your name is Optimus, so this will speak more directly to you.
People like to categorize programming languages into paradigms. There are object-oriented (OO) languages, imperative languages, functional languages, etc. This can be helpful in figuring out which languages solve similar problems, and what types of problems a language is intended to solve.
In each case a paradigm generally has one “main” focus and technique that is the driving force for that family of languages:
  • In OO languages, it is the class or object as a way to encapsulate state (data) with manipulation of that state (methods).
  • In functional languages, it can be the manipulation of functions themselves or the immutable data passed from function to function.
While Elixir (and Erlang before it) are often categorized as functional languages because they exhibit the immutable data common to functional languages, I would submit they represent a separate paradigm from many functional languages. They exist and are adopted because of the existence of OTP, and so I would categorize them as process-oriented languages.
We’re all witnessing a rise in the popularity of microservice architectures. In a microservice architecture, Dropwizard commands a very important place. It is a framework for building RESTful web services or, more precisely, a set of tools and frameworks for building RESTful web services.
It allows developers quick project bootstrapping. This helps you package your applications to be easily deployable in a production environment as standalone services. If you have ever been in a situation where you need to bootstrap a project in the Spring framework, for example, you probably know how painful it can be.
Illustration: Microservices Example in Dropwizard Tutorial.
With Dropwizard, it's just a matter of adding one Maven dependency.
In this blog, I will guide you through the complete process of writing a simple Dropwizard RESTful service. After we’re done, we will have a service for basic CRUD operations on “parts.” It doesn’t really matter what “part” is; it can be anything. It just came to mind first.
There are countless articles out there debating whether React or Angular is the better choice for web development. Do we need yet another one?
The reason I wrote this article is because none of the articles published already—although they contain great insights—go in-depth enough for a practical front-end developer to decide which one may suit their needs.
Angular vs. React: Choose the framework way, or tinker with libraries?
In this article, you will learn how Angular and React both aim to solve similar front-end problems though with very different philosophies, and whether choosing one or the other is merely a matter of personal preference. To compare them, we will build the same application twice, once with Angular and then again with React.

Angular’s Untimely Announcement

Two years ago, I wrote an article about the React Ecosystem. Among other points, the article argued that Angular had become the victim of “death by pre-announcement.” Back then, the choice between Angular and almost anything else was an easy one for anyone who didn’t want their project to run on an obsolete framework. Angular 1 was obsolete, and Angular 2 was not even available in alpha version.
On hindsight, the fears were more-or-less justified. Angular 2 changed dramatically and even went through major rewrite just before the final release.
Two years later, we have Angular 4 with a promise of relative stability from here on.
Now what?
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