Operations | Monitoring | ITSM | DevOps | Cloud

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.

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..

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.

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.

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.