Articles

URL Shortener Complete Tutorial

,

Introduction

A URL shortener is a service that is used to create short links from very long URLs. Usually, short links have the size of one-third or even one-fourth of the original URL, which makes them easier to type, present, or tweet. Clicking on a short link user will be automatically redirected to the original URL. 

There are many URL shortening services available online, such as tiny.cc, bitly.com, and cutt.ly. Implementing a URL shortening service is not a complex task, and it is often part of system design interviews. In this post, I will try to explain the process of implementing the service. 

Source de l’article sur DZONE

/par

Kubernetes for Application Developers (CKAD)

,

Intro

I was lucky. I already had extensive knowledge of Docker before starting the certification for Kubernetes developer (CKAD), and I have an employer (Ordina) that gives me the space and time to invest in myself.

So I claimed a week of preparation and did the whole Kubernetes for Developers (LFD259) course. To follow this course, you have to prepare a practice environment, and you are given instructions on how to do that on AWS or Google Cloud (which can result in extra costs). It is also very possible to create a cluster on your local machine. To make my life easier (and cheaper) I opted for the last option and created a vagrant set up with instructions for it here.

Source de l’article sur DZONE

/par

Hands-On Presto Tutorial: Presto 102

,

This guide was developed using a laptop running Windows OS and docker on it.

Implementation Steps

This guide was developed using a laptop running Windows OS and docker on it.

Source de l’article sur DZONE

/par

Pass a Parameter to All JVMs in A Machine at The Same Time

,

JAVA_TOOL_OPTIONS

Imagine a scenario where you need to change a JVM parameter, but you can’t or is not a good solution to changing the start script of your server(s).

One of the challenges we had, when we were working with containers, was a way to change a parameter to a JVM without building the docker image again.
The application at the start time should read a JVM parameter where a _user profile_was defined.
For specific reasons we sometimes need to change this profile, for instance, to use a more controlled user where we can debug an issue. In these situations, we want to stop the container/pod, change the profile and start again, or even start a different container with a different profile.

Source de l’article sur DZONE

/par

How to Install VPN on Linux?

,

A VPN is a way to keep your identity a secret and protect your traffic on the internet. Your internet traffic passes through a tunnel that encrypts your data that no one can see, such as your internet service provider or government when you connect to a VPN server.

Let us list down why you need to use a VPN.

Source de l’article sur DZONE

/par

WebDriverIO Integration With Cucumber

,

WebDriverIO: Next-generation Automation Framework

WebDriverIO is an open-source next-generation automation framework, that allows us to automate modern web and mobile applications. It has an extended set of built-in and community plugins that help in designing robust, scalable tests and easily integrate with third-party applications including cloud services (BrowserStack, Applitools, Sauce Labs), Docker, Jenkins, Bamboo, GitHub, and many more.

It helps in designing automation tests for web applications and native mobile applications in just a few lines of code, making it very popular among developers and testers. It runs on WebDriver protocol to support cross-browser testing, and Chrome DevTools protocol to support Chromium-based automation. 

Source de l’article sur DZONE

/par

Easily Manage Your Build Environments With The Condo [Snippets]

,

Have you come across situations where your build tools suddenly stop working after you update the operating system? Do you want a simple way of setting up your build environment each time you change or format your machine?

One option is to use Docker-based build environments. In this approach, you can create Docker images with the necessary build tools and dependencies. However, you will still have to remember the tags, mount your source code manually, and execute Docker commands with multiple arguments each time. This approach is right but needs some effort.

Source de l’article sur DZONE

/par

Exploring Kubernetes With Gigi Sayfan

,

You have probably read about Kubernetes, and maybe even dipped your toes in and used it in a side project or even at work. But understanding what Kubernetes is all about, how to use it effectively, and what the best practices are requires much more effort. Kubernetes is a big open-source project and ecosystem with a lot of code and a lot of functionality. Kubernetes came out of Google, but joined the Cloud Native Computing Foundation (CNCF) and became the clear leader in the space of container-based applications.

Let’s hear from Gigi Sayfan, author of the bestseller Mastering Kubernetes, Third Edition, about his methodologies and the approach he followed to create a powerful resource to acquaint learners all over the globe with the fundamentals and more advanced concepts of Kubernetes.

Source de l’article sur DZONE

/par

How to Reduce Docker Image Size

,

If there are top ten buzzwords in the technology industry in the year 2019, the container is sure to be one of them. With the popularity of Docker, more and more scenarios are using Docker in the front-end field. This article shows how do we use Docker in the visualization interface of Nebula Graph, a distributed open-source graph database.

Why Using Docker

Docker is widely used in daily front-end development. Nebula Graph Studio (A visualization tool for Nebula Graph) uses Docker based on the following considerations:

Source de l’article sur DZONE

/par

7 Essential Tools for a Competent Data Scientist

,

A data scientist extracts manipulate and generate insights from humongous data. To leverage the power of data science, data scientists apply statistics, programming languages, data visualization, databases, etc.

So, when we observe the required skills for a data scientist in any job description, we understand that data science is mainly associated with Python, SQL, and R. The common skills and knowledge expected from a data scientist in the data science industry includes – Probability, Statistics, Calculus, Algebra, Programming, data visualization, machine learning, deep learning, and cloud computing. Also, they expect non-technical skills like business acumen, communication, and intellectual curiosity.

Source de l’article sur DZONE

/par