Systems | Development | Analytics | API | Testing

The Java Native Interface (JNI) stands as a pivotal link between the realms of Java and native programming languages like C and C++. It plays a crucial role in Java programming, particularly when integrating native libraries — .so files in Linux or.dll files in Windows. JNI allows Java applications to access and leverage the performance and capabilities inherent in native code.

There is a well-worn adage attributed to famous early American statesman and inventor Benjamin Franklin, who purportedly said, only two things in life are guaranteed: death and taxes. So it’s not without some sense of irony – Tuesday having been “Tax Day” in the U.S. (April 15, the day annual income taxes are due) – that we can proudly proclaim there are now officially THREE things in life that are guaranteed! What’s the third one, you (and Mr. Franklin) might ask?

Application Performance Monitoring (APM) tools are software platforms that help developers, DevOps engineers, and technical managers track the performance and health of their apps and infrastructure in real time. They collect telemetry data like response times, error rates, resource usage, and user behavior, visualize this data, and make it easier to detect performance issues, pinpoint root causes, and ensure a smooth user experience. In short, they help teams be proactive rather than reactive.

The workplace is on the brink of a transformation unlike anything we’ve seen before. With the rise of AI agents—autonomous software entities capable of executing tasks, making decisions, and even optimizing workflows—the way we define work itself is evolving. While automation and AI-assisted processes have been gradually reshaping industries, the concept of the agentic enterprise takes this a step further, shifting from AI as a tool to AI as an active participant in business operations.

AI agents are all the rage these days. Poised as the next big thing after Gen AI…is there substance underneath all the hype? The answer is a resounding yes. For instance, the 2024 State of AI Agents report revealed that 51% of AI professionals are already using AI agents, while 78% of enterprises and mid-sized companies have active plans to put AI agents into production. However, doing this successfully requires paying attention to certain key factors.

Many pharmaceutical companies have been around for decades and must continually adapt to a rapidly evolving, technology-driven world. Even those that keep pace with digital trends often struggle with data silos and disparate systems, making it difficult to share information across platforms. This fragmentation hinders their ability to meet patient expectations, accelerate drug launches, and develop personalized therapies.

Multiplayer just made system architecture diagrams effortless—with auto-generated diagrams, CSV imports, and smart layouts. Say goodbye to whiteboards and hello to real-time, accurate visibility. If you’ve ever wasted hours dragging boxes around in Lucidchart or updating outdated diagram images in Confluence, we hear you. Visualizing your system shouldn’t feel like a second job—it should be part of your workflow.

Healthcare software applications have evolved beyond administrative tools, becoming pivotal in patient care, diagnostics, and Electronic Health Record (EHR) management while ensuring regulatory compliance. It ensures that applications like electronic health records (EHRs), telemedicine platforms, or diagnostic systems work accurately, securely, and comply with regulations.

Imagine a world where you could deploy your API gateways across any cloud, enforce enterprise-grade policies, and meet compliance standards all within a single Terraform apply. Most teams think about infrastructure as code only in terms of spinning up VMs, networking components, databases, or maybe a Kubernetes cluster. But what if your API platform was just as programmable? With Kong’s Konnect platform and its support for Terraform, that reality is here today!