Systems | Development | Analytics | API | Testing

What I Learned From Building an eBPF-Based Traffic Capture Application

I just finished building Speedscale’s eBPF-based component to capture and analyze network traffic in a Kubernetes cluster, and it forced me to confront some uncomfortable truths about observability. While there were certainly some challenges along the way, particularly in dealing with Go applications, the approach was relatively straightforward.

The AI-Native Finance Team: Building Skills and Culture for the Next Decade

Finance professionals aren’t afraid of AI taking their jobs, they’re afraid of being left behind while keeping them. The real anxiety in today’s finance teams isn’t automation, but irrelevance: the fear that the profession is evolving faster than their skills. This sentiment is increasingly common across organizations that acknowledge AI’s rising influence but haven’t yet aligned their training, expectations, or workflows with the new reality.

What Is an API Gateway? Fundamentals, Benefits, and Future Trends

If you're working with APIs, chances are that the term "API gateway" has popped up in a conversation or web search at least once. Although they are not new, many developers that are new to creating APIs (or deploying them into a production environment) haven't heard of them or don't fully understand what the technology does. In the most simple terms, an API gateway is a single entry point where API traffic comes in and is then proxied to your actual APIs.

Webinar | Countly 26.01 with CEO Onur Alp Soner

Description: In this webinar, Countly CEO Onur Alp Soner unveils Countly 26.1, our fastest, smartest, and most AI-ready release ever. You’ll learn how Countly now helps you: Get insights up to 100× faster with our new high-performance data engine Power your own AI models with structured, privacy-first user context Work smarter with Cee, your AI assistant that builds funnels, cohorts, and queries in plain language Move beyond traditional analytics toward true product intelligence.

Effective regression testing in the age of AI-generated code

AI code generation is rapidly evolving from a novelty into a key building block of modern software development. According to the Tricentis 2025 Quality Transformation Report, 82% of software professionals are excited about AI agents handling repetitive development tasks, and 84% believe AI will help teams meet increasingly compressed deadlines. Tools like GitHub Copilot and Codex are driving this revolution, offering real-time suggestions and automating boilerplate work.