Systems | Development | Analytics | API | Testing

Federated Configuration Management at Scale with decK

decK is a wonderful tool for managing Kong Gateway configuration declaratively, but before you know it you find yourself editing a 1000 line long YAML file that is is hard to manage. In this call, Michael will take you through the techniques used by some of Kong's biggest users to split their configuration files in to manageable chunks. There will be slides, there will be documentation, and as always, there will be demos.

Kong Insomnia 11: Elevating API Security and Collaboration

We’re excited to announce the general availability of Kong Insomnia 11! This release introduces third-party vault integrations for enhanced security, an all-new Git sync experience for more seamless collaboration, and support for multi-tabs to improve efficiency within the Insomnia application. Keep reading to learn more.

Node.js Now Supports TypeScript Natively: Everything You Need to Know

With the release of Node.js v23.6.0, developers can now use TypeScript natively without additional transpilation tools like ts-node or manual compilation steps. This milestone significantly streamlines development workflows, simplifying build processes and improving the overall developer experience by reducing complexity.

Getting Started with Dialyzer in Elixir

Dialyzer (DIscrepancy AnaLYZer for ERlang programs) is a powerful static analysis tool that helps developers identify potential issues in their Elixir code without executing it. It excels at finding type mismatches, unreachable code, and unnecessary functions through sophisticated flow analysis. In part one of this two-part series, we'll first get to grips with the basics of Dialyzer. In part two, we'll examine more advanced use cases.

5 Enterprise AI Trends You Need to Know

The era of AI experimentation is over. Organizations want to see ROI. And they will—as long as they understand that the competitive edge isn’t in AI itself. With AI evolving rapidly, businesses need a clear strategy that cuts through the noise and generates ROI. This key strategy is to embed AI into core business processes. This post will cover five enterprise AI trends for the new era of AI and why process is the key to ROI. The most talked-about trend today is agentic AI.

P4 One: Intuitive Version Control for Designers and Artists

Now introducing P4 One, an intuitive version control client designed for artists and creators working with images, 3D models, videos, and other binary assets. If you’re already using P4 (formerly Helix Core) but looking for more intuitive version control for your artists and designers, P4 One fills the gap. It’s the easiest way to introduce your art teams to version control, eliminate rework, and let your art teams submit their work directly to the same version control your team is already using.

How to Throw Exceptions in C++ Constructors Correctly

In C++, when you create a new object (like a database connection or a game character), a special function called a constructor runs automatically to set up that object. Think of constructors as the "birth" process for objects—they allocate resources, set initial values, and make sure the object starts life in a valid state. But what happens when something goes wrong during this setup? Maybe a file can't be opened, a network connection fails, or invalid data is provided.

What AI code editors means for API development

AI-powered code editors are speeding up API development by automating repetitive tasks, improving security, and optimizing performance. Developers now spend 55% less time on API creation, focusing more on design and business logic instead of boilerplate code. These tools reduce errors, generate real-time documentation, and enhance scalability, making API development faster and more efficient.

How to Speed Up Azure Data Masking while Ensuring Quality and Compliance

Enterprises working in Microsoft Azure need to mask data, and they need to mask it quickly.Yet, it can be difficult to find Azure data masking methods that are both swift and secure. The wrong approach can lead to bottlenecks, compromised analytics quality, and significant regulatory risks.

AI Observability: Monitoring and Troubleshooting Your LLM Infrastructure

When your company deployed its first large language model last quarter, your CTO probably didn't mention you'd need entirely new tools to understand what's happening under the hood. But here we are. AI Observability isn't just another tech buzzword—it's the difference between confidently leveraging AI and crossing your fingers hoping nothing breaks.