Systems | Development | Analytics | API | Testing

In today’s fast-paced digital environment, software quality assurance services are no longer a choice in the development process; they are a requirement. SQA is not simply about identifying bugs; it is about preventing defects before they occur and making sure that software consistently delivers a great user experience.

Learn how to easily create a REST API for Snowflake with DreamFactory. This enables instant, secure REST API auto-generation, and seamless integration with applications, mobile, and AI pipelines—all without the need for custom coding.

One of the principals of Moesif’s efforts has been making API analytics more accessible and easier to use for everyone. We have helped enterprises of different sizes and use cases grow and succeed with their API and AI products through data-backed insights.

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.

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.

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.

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.