Systems | Development | Analytics | API | Testing

The rise of the Agentic Enterprise has seen a significant shift in the role of integration within organizations. Unlike traditional integration, which primarily connected applications and data, integration in the agentic era demands seamlessly connecting applications and data with complex agentic systems in order to build intelligent systems and flows.

Upgrading your WSO2 product to the latest version is an important step for maintaining a secure, stable, and future-ready platform. There are several reasons why an upgrade may be necessary, including but not limited to the following. One of the most common reasons is the end of life (EOL) of the current product version. When a version reaches EOL, it no longer receives official support, including security patches, bug fixes, or technical assistance from WSO2.

APIs rarely fail loudly. Most of the time, they break quietly while dashboards stay green. These silent failures are often the hardest to detect and the most damaging for users. I learned this while dealing with real production traffic. Everything looked normal until users started complaining. Let’s explore more about how this works.

When discussing the process of testing an API, one of the most common sets of terms you might encounter are “mocks” and “stubs.” These terms are quite ubiquitous, but understanding exactly how they differ from one another - and when each is the correct method for software testing - is critical to building an appropriate test and validation framework. In this blog, we’re going to talk about the differences and similarities between mocks and stubs.

Gartner just published research that should be required reading for every platform and infrastructure leader building for the agentic era. The report, "How to Enable Agentic AI via API-Based Integration," makes a stark claim: incrementally reworking existing APIs and connector-based integrations for AI agents is no longer sufficient.

Data democratization is a strategic priority, but most organizations struggle to provide Snowflake access to non-technical teams. Business analysts, data scientists, and operations teams need data for dashboards, reports, and applications—yet they lack the programming skills to build API integrations. DreamFactory solves this challenge by enabling zero-code REST API creation from Snowflake, complith point-and-click security configuration, automatic documentation, and no programming required.

The dust has settled on Las Vegas. We saw transparent TVs, cars that drive sideways, and enough “AI-powered” toothbrushes to confuse a dentist. CES is incredible at selling the dream of hardware. The demos are slick, the lighting is perfect, and everything works on the showroom floor. But as engineers, we know the dirty secret of CES: The hardware is the easy part.

We’re excited to announce the general availability of Kong Insomnia 12.3! Kong Insomnia 12.3 TL;DR? Your New Year’s resolution is probably something along the lines of “work smarter, not harder.” Our resolution is to make that actually possible. Insomnia 12.1 and 12.2 sharpened your tools, and now Insomnia 12.3 removes the friction to allow you to focus on building great endpoints. Less maintenance, more momentum.