Systems | Development | Analytics | API | Testing

What is an AI Gateway?

Ever wondered what an AI Gateway is? Think of it as an airport for your AI traffic! We break down how an AI Gateway can: Act as a central access point for different AI models. Provide security for your LLM prompts. Route traffic to the best model for the job. Save on AI costs with features like response caching. Learn the basics of this essential tool that helps manage AI and LLM costs, security, and efficiency.

Xray Requirement Coverage explained: automating quality with Test Executions

Xray’s Requirement Coverage refers to how defined requirements inside a specific project are being validated by tests. Each requirement – whether Jira Story, Epic or Feature - should be connected to one or more test cases. When these tests are being executed and the results are being reported, the coverage status of the requirements automatically updates. Bottom line, only creating tests is not enough.

TCP Proxy: Expose TCP Ports Publicly

Today, we’re announcing the public preview of TCP Proxy — a new way to expose TCP ports publicly. Until now, services on Koyeb could only be publicly exposed via HTTP, HTTP/2, WebSocket, and gRPC protocols. TCP-based workloads were limited to private access within the mesh network for service-to-service communication. With TCP Proxy, that changes. You can now make any TCP service publicly accessible with minimal configuration.

How to Build a Multi-LLM AI Agent with Kong AI Gateway and LangGraph

In the last two parts of this series, we discussed How to Strengthen a ReAct AI Agent with Kong AI Gateway and How to Build a Single-LLM AI Agent with Kong AI Gateway and LangGraph. In this third and final part, we're going to evolve the AI Agent with multiple LLMs and Semantic Routing policies across them. In this blog post, we'll also explore new capabilities introduced in Kong AI Gateway 3.11 that support other GenAI infrastructures.

Benefits of Test Management in Software Testing Life Cycle

Automation testing for websites is one of the fastest ways to improve software quality while speeding up delivery. It removes repetitive manual work and ensures that every release is tested thoroughly before going live. Effective automation testing becomes even more powerful when paired with a solid test management strategy. The benefits of test management in testing process include better organization, clearer visibility, and improved collaboration across teams.

Top 15 Best Regression Testing Tools For Web Applications

Regression testing tools for web applications help you ensure that updates to your code do not break existing features. They automate repetitive test cases so your team can release faster and with more confidence. Choosing the right tool matters. There are many automated regression testing tools and web app regression testing software available. Some focus on speed, some on cross-browser testing, and others on AI-powered features that reduce maintenance work.

RBAC vs ABAC: API Security Implications

Securing APIs requires managing who can access resources and under what conditions. Two primary models stand out: Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC). Here's the key takeaway: RBAC assigns permissions based on predefined roles, making it simple to manage in structured environments. ABAC evaluates multiple real-time attributes for dynamic, granular control, ideal for complex or evolving scenarios.

We Do Advising Differently: Our 10-Step Approach to Advisory Services

As I recently transitioned to Qlik's Professional Services team to lead Advisory Services, I embraced a clear mission: to engage in high-level discussions with business stakeholders that drive faster value and enhance your return on investment (ROI). By employing a structured 10-step approach grounded in a repeatable agile methodology, we are actively enabling out customers to overcome challenges and achieve their strategic objectives.

Ep 33 | AI Means Nothing If You Don't Know Why You're Using It with Cassie Kozyrkov

In the race of not being left behind in adopting new technology—like AI—enterprises often overlook the most straightforward, strategic question: what decision are we trying to make? Cassie Kozyrkov, first and former Chief Decision Scientist at Google and founder of Kozyr, joins The AI Forecast to reframe the conversation. Her take? It’s not about the genie granting the wish—in this case, AI; it’s about the wisher.