Systems | Development | Analytics | API | Testing

How to Automate API Documentation for Enterprise Systems

Automating API documentation can save time, reduce errors, and improve efficiency in enterprise systems. Here's why it matters and how it works: Why It’s Important: APIs are crucial for enterprise operations, but manual documentation often lags behind code updates, leading to errors, delays, and increased support costs. Challenges of Manual Documentation: It’s time-consuming, prone to human error, and pulls developers away from critical tasks.

How the Application and Request Contexts Work in Python Flask

If you have spent some time developing Flask applications, you have probably encountered terms like request, session, current_app, and g. You might even use them daily. But have you ever stopped to think about how Flask makes these seemingly global objects available exactly when you need them, especially in a multi-threaded web server environment? Well, the magic lies in Flask's context system. In this article, you will learn what contexts are in Flask and how to use them with practical examples.

Playwright vs Selenium: Key Differences

You’ve just wrapped a long sprint. Deadlines are tight, and QA is struggling with flaky test runs. Your team debates the age-old question should we stick with Selenium or finally migrate to Playwright? It’s not just about speed anymore; it’s about control, visibility, and smarter automation. The truth is, both Playwright and Selenium have their strengths but only one fits your product, pace, and team DNA.

Speedscale: Avoid Regulatory Icebergs with Traffic Replay, and Save Money

It has never been more critical to establish a solid foundation for regulatory compliance. Regulations govern a wide range of functions. Some of them are obvious, such as health and human services, patient data, medical devices, and credit payments. Some of them are less obvious, especially with the ever-changing definition of what constitutes private and identifiable data. This article provides an overview of regulatory compliance challenges and the hidden risks organizations face beneath the surface.

Introducing NeoLoad MCP: AI-Powered performance testing

NeoLoad has long been at the forefront of modern performance testing, trusted by enterprises around the world to help them test earlier, test faster, and scale performance across even the most complex environments. Its intuitive design and powerful automation have made it the go-to solution for teams seeking speed, reliability, and breadth of capabilities. Today, expectations for software teams continue to grow.

Top Software Development Models Explained(2025): From Waterfall to Agile

Ever wondered why some software projects soar while others stall out? It’s not just the tech stack, it’s the game plan behind it. With the global software development market projected to hit $570 billion in 2025 and growing at 12.9% CAGR, picking the right development model isn’t just smart-it’s survival.

GDPR Compliance in Software Development: Principles, Tools, and Development Practices

Since GDPR rolled out in 2018, enforcement has intensified. In 2023 alone, EU regulators levied roughly €2.1 billion in fines for non-compliance. That includes a jaw-dropping €1.2 billion strike against Meta for unlawful data transfers between the EU and the U.S., marking it the most significant GDPR penalty. Let’s be real. Data is serious business, and building software without GDPR compliance is like launching a bank without a vault.

Introducing Konnect Debugger: Get Unprecedented API Traffic Visibility

We're excited to announce the general availability of Konnect Debugger, formerly known as Active Tracing during its tech preview phase. This powerful debugging and observability solution in Kong Konnect has evolved from a focused tracing tool into a comprehensive debugging platform.

Rate Limiting vs Throttling: Multi-Tenant API Use Cases

Rate limiting and throttling are two key strategies for managing API traffic in multi-tenant systems. While both aim to maintain performance and prevent misuse, they work in different ways: Rate Limiting: Sets strict caps on the number of requests a user can make within a specific time frame. Extra requests are rejected outright with an HTTP 429 status code. Throttling: Dynamically adjusts request processing speeds based on system load. Extra requests are slowed down or queued rather than blocked.

From CI pipelines to sheet-metal sorcery: Bitrise introduces "Mini Orchard"

TL;DR – No flaky builds because of “data‑center air” at Bitrise! We built our own chassis that can talk to the Bitrise scheduler, can pre‑cool itself, and squeezes 32 Mac minis into a 6 rack unit oversized pizza box—while looking downright gorgeous doing it. We call it the mini Orchard.