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Testing Commander.js command line applications

Breaking changes in production are inconvenient and can be costly to fix. Using commands like git clone < some GitHub repository >, executed on your terminal is a common practice, known as using the command line. This practice can be faster and more efficient than using a GUI. For this tutorial, I will walk you through the process of testing command-line applications git, explain why you need command-line applications, and describe in detail how they work.

How to review your CircleCI configuration

Configuration files can take some time to set up, but after that initial push they are easy to forget about. “If it’s not broken, don’t fix it” is a common approach that many developers take with their configuration files. But when it comes to your continuous integration pipelines, small changes can have huge benefits.

Continuous integration for a production-ready Dockerized Django application

Continuous integration has become a widely accepted practice for software projects. As more technologies are introduced in both continuous integration and software development, developers are looking for practical ways to benefit from them. Basic tutorials that cover toy examples are not always enough for real-life practitioners. As an actual user of Django, Docker, and CircleCI, this was certainly a pain point for me. That is why I wrote this tutorial.

Artifactory, Your Swift Package Repository

If you’re looking forward to WWDC 2022 for some exciting Swift news, we have just the thing. JFrog now offers the first and only Swift binary package repository, enabling developers to use JFrog Artifactory for resolving Swift dependencies instead of enterprise source control (Git) systems. Swift developers can benefit from Artifactory’s robust binary management and the ways that it contributes to stable and efficient CI/CD, massive scalability, and securing the software supply chain..

Introduction to CI/CD

In a business world where time is money and every dollar counts, efficiency and productivity are critical success factors. Continuous Integration (CI)/Continuous Deployment (CD) is a process that helps organizations rapidly release software with confidence The process relies heavily on automation and modern cloud-based services to provide tools for build management, monitoring, testing, and deployment automation.

Data structures for effective Python applications

Because computers rely on data to execute instructions, computing will always entail data interaction. The amount of data can be overwhelming in real world applications, so developers must consistently devise methods to access it quickly and efficiently in a programmatic way. A solid understanding of data structures is a great advantage for teams that specialize in developing tools and systems. Organizing data optimally maximizes efficiency and makes data processing easy and seamless.

Deploying a Laravel application to Heroku

In this tutorial, I will show you how to set up a continuous deployment pipeline to deploy a Laravel application to the Heroku platform with minimum hassle. Automating deployment helps teams limit human intervention during the deployment process, reducing the risk of errors and streamlining the entire software release process.

5 Experiences from JFrog swampUP 2022 San Diego that will Get You Excited for What's Next

Last week hundreds of community leaders, customers, and partners gathered in San Diego for the first stop of JFrog’s multi-city swampUp world tour! It was my first in-person swampUP and I can’t tell you how invigorating it was to see everyone back together, in-person again. As I was walking the halls and sitting in on the keynote sessions, I felt like I was at a big reunion of old colleagues and friends who have not seen each other in years.

CI/CD Pipelines for Kubernetes: Best Practices and Tools

Kubernetes is today’s leading container management platform, due to its comprehensive API and developer-friendly features. Using Kubernetes, you can create scalable and reliable applications that run on-premises systems and public clouds. Its out-of-the-box features allow it to distribute hundreds of instances over data centers and keep them up and running. In order to catch up with the automation level of Kubernetes, developing and deploying applications requires more autonomy.