Systems | Development | Analytics | API | Testing

Visual diagrams serve as a bridge across centuries, transforming complex systems into simplified forms by using abstraction to illuminate essential relationships and structures. A good example is Leonardo da Vinci’s 15th-century flying machine sketches that remain intuitive and understandable even today, after 500-plus years. That’s the power of architecture diagrams: they simplify complex systems into clear visuals, making complexity understandable now and in the future.

Hey! Quite a time right? Well we are back with another topic which is Mockito Spy. So you have ever been working with the unit tests and heard about this thing called Mocktio Spy, right? Maybe at this time, you’re even thinking what makes it different from other regular mocks or what this is spy actually?

After spending months of development work to build ODBC connectors for REST APIs, the performance still falls short of your expectations. You can’t recover the time spent, and you need a new solution. This scenario is all-too familiar for developers. Here, we discuss how you can improve your REST API, making it ready for enterprise-level users.

If you are looking for a reporting solution that can handle complex data and deliver fast results, you might want to check out Jet Reports from insightsoftware. Jet Reports is a powerful Excel-based reporting tool that directly connects to your Microsoft Dynamics ERP and allows you to create custom reports and dashboards with ease using real-time data. Jet Reports is designed to make your reporting experience fast and smooth.

Modern application development demands speed, reliability, and reproducibility. But between third-party APIs, unstable backend services, and inconsistent test data, API development often struggles to achieve dependable environments for testing and iteration.

It's Monday morning, and your team is about to walk into a nightmare: over the weekend, your web app broke in three different browsers. Checkout flows are getting stuck, animations are glitching, and support tickets are already stacking up. Traditional forms of testing would take forever to find the root cause of this catastrophe, and until then, your team cannot release it. But today, no team or developer has days to spare.

The promise of agentic AI is huge. But how is it impacting the enterprise and the developers and IT professionals most likely to be working with it right now? To find out, Kong evaluated labor market data and surveyed 550 tech leaders, developers, IT decision-makers, and Kong users.

Enterprises often host their backend services within private internal networks, whether in on-premises data centers or restricted cloud environments. This setup is essential for protecting sensitive data, meeting compliance requirements, and reducing exposure to external threats. But it also introduces a major hurdle: how do you let external consumers and partners access the right APIs without opening unnecessary doors into your private infrastructure?

Your AI-powered data science partner just got a major upgrade. The Data Science Agent now automates ML workflows with Spark, BigQuery ML, & BigQuery DataFrames.

In addition to its existing text embedding models, you can now use both Google’s Gemini and open-source (OSS) models directly within BigQuery.