In the world of data-driven decision-making, effective visualization is a cornerstone for translating complex data into actionable insights. Data visualization is a technique that makes information visually appealing by highlighting patterns and trends in the data and enabling readers to get new insights quickly. Different ways of visualization help the leadership team in their day-to-day decision-making.

In the ever-evolving landscape of software testing, the advent of Artificial Intelligence (AI) has not just been a game-changer; it’s been a paradigm shift. Test automation, once a static process, has metamorphosed into a dynamic and intelligent entity, reshaping how we approach quality assurance.

The current state of AI, despite the relevant infancy of the tools, showcases promising potential. While human assistance is still needed, the convergence of chat UI and large language models allows users to ask for what they want in a natural language, and the technology is growing intelligent enough to respond or even take action.

We just shared big news about the open-sourcing of our Node.js Runtime and the release of our AI Copilot for Node, both requiring a big role from our infrastructure (Infra) team. They are the team behind the scenes, dedicated to delivering top performance, and have been instrumental in maintaining our reputation for fast, stable, and secure delivery of our SaaS product and Binary Distributions–which generate over 100 million annual downloads a year.

Perhaps the most important part of any monetization strategy is the effective selection of API billing metrics. Billing metrics form the backbone of your monetization strategy, and giving ample thought to what – and how – to monetize will pay long-term dividends both in economic terms as well as management ones. Today, we’re going to look at what API billing metrics actually are, and how they related to your long-term monetization strategy.

The rapid development and deployment of software applications largely rely on the power of APIs. These Application Programming Interfaces act as the glue holding together various components, enabling efficient communication and data exchange between them. From mobile apps to web services and enterprise systems, APIs are ubiquitous, playing a critical role in the seamless functioning of modern software architecture – but its important to take internal API security risks seriously.

Retail media is the topic everyone is talking about in the retail and consumer goods industry. And for good reason: the $45 billion U.S. retail media market is surging as retailers capitalize on the consumer shift to ecommerce while offering advertisers access to their unique audiences and data insights. Many retailers developed their own retail media networks over the last few years, from digital marketplaces and department stores to commerce intermediaries.

Service virtualization is increasingly popular in the software & DevOps toolkit. Learn what it is, how it works, and how you can use it.

REST API is an acronym that stands for Representational State Transfer Application Programming Interface. REST APIs are used to create "web services" in HTTP requests, which provide data between client and server applications. This article will cover some of the basics of REST APIs and will also walk you through making a basic API using Python. Here are the 5 key takeaways from the article.

When writing tests in Rails, you should avoid repetition and have the right amount of tests to satisfy your use case. This article will introduce you to shoulda-matchers with RSpec for testing functionality in Rails. At the end of the post, you should feel confident about using shoulda-matchers in your Rails application. Let's get going!