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Shopping cart abandonment is the silent killer of eCommerce profits. Despite businesses investing heavily in customer acquisition and optimizing user experience, cart abandonments are still a major issue. And for every abandoned cart, potential revenue slips through the cracks. But what exactly causes shoppers to abandon their carts? Is it the unexpected shipping costs, a complicated checkout process, or something else entirely?

Today, we are thrilled to announce the public preview of AWS Regions on Koyeb! During last launch week, we introduced the private preview of AWS Regions. We announced our first region, the famous, us-east-1 (N. Virginia) region, and started onboarding our first users. What’s new with this public preview? In addition to the us-east-1 location now being available to everyone on the platform, you can now deploy to this region via the control panel and the CLI!

Pipelines for continuous integration and continuous deployment, or CI/CD, are critical for contemporary software teams that aim for speed and agility. These pipelines, which automate the integration, testing, and deployment of code changes, enable teams to release new features and improvements quickly. There are obstacles involved in creating an effective CI/CD pipeline, though. This article explores common obstacles teams face in CI/CD implementation.

Modernizing legacy systems is often a daunting task, often filled with risks and uncertainties. The Strangler Pattern offers a proven, incremental approach to replace these outdated systems by gradually building new features around them, eventually phasing out the old system. The Strangler Pattern is a software modernization strategy that incrementally replaces parts of a legacy system with new functionality, allowing both systems to coexist until the legacy system is fully phased out.

What are the differences between generative AI vs. large language models? How are these two buzzworthy technologies related? In this article, we’ll explore their connection. To help explain the concept, I asked ChatGPT to give me some analogies comparing generative AI to large language models (LLMs), and as the stand-in for generative AI, ChatGPT tried to take all the personality for itself.

If you work in Quality Assurance testing, you know that automated browser testing saves every tester from hours upon hours of manual test work. But exactly what is automation testing, and how does it fit into a typical QA workflow? We’ve got the full explanation for you in this straightforward guide on the basics of automation testing, how it can transform your QA process, and how to get started with test automation tools like Ghost Inspector.

Financial planning and analysis (FP&A) is recognized as an essential tool for driving business success. At a time when agility has taken center stage, though, FP&A is giving way to the new discipline of extended planning and analysis (xP&A). Why? Because in an increasingly digital landscape where agility is paramount, actionable real-time feedback is essential.

Artificial Intelligence (AI) is transforming industries, enhancing decision-making processes, and creating new opportunities across various domains. However, selecting the right type of AI for your specific needs can be challenging. Broadly, AI can be categorized into predictive (sometimes known as discriminative or traditional) AI and generative AI, each serving different purposes.

Kubernetes has transformed how developers build, test, and deploy applications, providing a consistent platform for managing containerized workloads. Setting up efficient Kubernetes clusters is crucial for streamlining the development process, reducing time-to-market, and ensuring that applications run reliably from development to production.

Laravel is the most popular PHP framework for building web applications and is loved for its elegance, simplicity, and scalability. However, like any other framework for web development, Laravel can experience performance issues if it’s not optimized for high performance. Laravel performance problems aren't usually due to the framework itself, but rather some suboptimal choices in the application.