Systems | Development | Analytics | API | Testing

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.

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.

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.

Create an internal API & service inventory with Konnect Service Catalog

In this livestream, we’ll show you how to use Konnect Service Catalog to build and maintain a centralized inventory of your internal APIs and services. Learn how to improve visibility, enforce automated governance, and enhance collaboration across teams. We’ll highlight key features and best practices that help boost your security posture, improve developer collaboration, and enforce compliance—so your organization can operate with better API oversight.

From Assistants to Impact. How AI is Driving ROI for Insurers with Appian

Automation has long been a key driver of efficiency. Traditional RPA and IDP technology promised to relieve carriers from rekeying, extracting data from forms, and other repetitive tasks. At Appian, we saw early that automation in isolation doesn't achieve transformative outcomes. Why? Because AI has too often been deployed at the edges of workflows: copilots, chatbots, or analytics dashboards that assist us when prompted.

Elixir background jobs: choosing the right tool for the job

With its vast ecosystem, Elixir offers multiple solutions for running things in the background. To a newcomer or even an experienced developer, the variety of options might seem daunting. Some tools that used to be popular have fallen into the maintenance limbo, while others have emerged as default choices.

Connecting SAP Hana Odata Connector to anything with DreamFactory

DreamFactory simplifies SAP HANA integration by automating API creation, eliminating the need for complex custom development. It supports seamless connections between SAP HANA's OData services and other applications, ensuring secure data access and improved efficiency. Here's how it works: What It Does: DreamFactory generates REST APIs for SAP HANA, enabling CRUD operations on data without requiring deep technical expertise. Key Features: Automated API creation for SAP HANA data.

What Is Spiral Model In Software Engineering?

Would you believe me if I say there is a development methodology that considers changing requirements and technical risks as part of the process instead of obstacles to be overcome? Sounds crazy, right? That’s exactly what I thought about the Spiral Model until I took a closer look. I’m not saying it’s perfect for every project or that we should all use it. But for certain types of projects, the messy, uncertain, high-stakes ones, it may be just what you need!

From Flaky to Reliable: How QMetry Keeps Your Pipeline Clean

Not every failure is a bug and not every bug is what it seems. Sometimes, a test fails without warning. No code changes, no environment issues, just a red mark where there should be green. You rerun it, and it passes. These are flaky tests. And they do more than create noise. They drain team time, stall releases, and make it harder to trust automation at all. Left unchecked, they quietly become one of the most expensive problems in testing.