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.

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.

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.

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.

Writing tests in any programming language can be difficult, but it does not have to be. In this tutorial, I will show you how you can easily write and run tests using Flask and Pytest. As a bonus, we will also integrate a CI/CD pipeline to run tests on a Flask app using CircleCI. Be sure to check out our other Flask tutorials to learn about application logging, authentication decorators, and automating Flask deployments.