Systems | Development | Analytics | API | Testing

For years, product teams from software companies have faced the same uphill battle: deliver analytics that hopefully fulfill their customers’ expectations while keeping their own roadmaps on track. Too often, the result is static dashboards tacked onto an application—uninspiring, difficult to maintain, and disconnected from user workflows. Meanwhile, customer expectations have evolved. They want analytics that feels alive, intelligent, and seamlessly part of the products they use every day.

At Koyeb, we run a serverless platform for deploying production-grade applications on high-performance infrastructure—GPUs, CPUs, and accelerators. You push code or containers; we handle everything from build to global deployment, running workloads in secure, lightweight virtual machines on bare-metal servers around the world.

The rise of AI agents has reshaped software economics; businesses have been increasingly adopting them for efficiency, scale, and delivering values faster. However, pricing them has remained a hard problem. By the established norms, you would tie cost to headcount or access, but that doesn’t fit; traditional methods misalign with how agents deliver value. And newer approaches often create more confusion than clarity.

To monetize digital content, we have used means like ad networks, affiliate links, and paywalls. However, with the fast and widespread adoption of AI, demand for high-quality data has increased. To make sure Large Language Models (LLMs) models deliver value and accurate results, a wide spectrum of content is often scraped and trained on without permission or compensation. This includes blogs, product and technical docs, forums, and research papers.

Strategic test management is the foundation that determines digital transformation success or failure. Recommendation: Implement unified test management early in digital transformation initiatives to ensure sustainable success and competitive advantage. Digital transformation has evolved from a strategic option to a business imperative.

Learn how to easily create a REST API for Oracle, whether on-premise or in the Cloud, with DreamFactory. This enables instant, secure REST API auto-generation, and seamless integration with applications, BI dashboards, and AI pipelines—all without the need for custom coding.

Over the years, Node.js developers have relied on countless npm packages to fill gaps in the platform. From HTTP utilities to file system helpers, the ecosystem has always been one of Node’s greatest strengths. But as Node.js continues to evolve, many features that once required third-party packages are now built into the runtime itself. This shift reduces dependency bloat, improves security, and makes applications easier to maintain.

We're very excited to announce Kong Operator 2.0! Kong Operator is an evolution of Kong Ingress Controller (KIC) and Kong Gateway Operator into a single Kubernetes offering to simplify deployment, management, configuration, and upgrades of your Kong Gateway instances on Kubernetes.

In part one of this series, we explored how Angular Signals shift the reactive model away from the RxJS-centric approach we’ve relied on for years. We walked through the core API signal(), computed(), and effect() primitives, and demonstrated how they simplify state management by removing the need for subscriptions, teardown logic, and deeply nested observables. We also introduced a minimalist CartService that held cart items in a private signal and exposed a computed total price.