Systems | Development | Analytics | API | Testing

How Gateway Federation Brings Order to Chaos in Your API Ecosystem

As organizations grow, so does API sprawl. Different teams deploy different gateways. Business units run isolated API stacks. Regions operate independently. The result? Fragmentation, duplicated effort, inconsistent governance, and reduced visibility. *In this video, we explain*: If you're managing APIs across multiple environments and want clarity, control, and scalability — this is where to start.

Best tool for AI-powered automated testing: Reflect vs. ACCELQ

If you’re shipping multiple releases weekly and your team is drowning in test maintenance, you’ve likely discovered the painful truth about traditional automation: code-heavy frameworks break faster than your developers can ship features. Every CSS class rename triggers test failures. Every component refactoring creates maintenance sprints.

Introducing the DreamFactory AI Academy | DreamFactory

Artificial intelligence is transforming how organizations access and analyze data. But for most teams, connecting AI tools to real business data remains a major challenge. Security, governance, and integration complexity often slow down or completely block AI adoption. To help developers and data teams bridge that gap, we are excited to introduce the DreamFactory AI Academy.

How to make APIs AI-ready | Automating reviews with Swagger Studio & Spectral

As AI agents increasingly interact with APIs, design clarity and structured metadata matter more than ever. In this focused demo, Senior Solutions Engineer Mairtín Conneely take us through how to use Spectral rulesets in Swagger Studio to automatically enforce AI-ready API design standards across your OpenAPI definitions. This video covers:What “AI-ready” API design meansCreating custom Spectral rulesImporting governance rules into Swagger StudioRunning automated AI-readiness checksScaling API quality with governance automation.

Kong Insomnia Named in Gartner's Market Guide for API and MCP Testing Tools

We’re proud to share that Kong Insomnia has been recognized as a vendor in the Gartner Market Guide for API and MCP Testing Tools in February, 2026. In a rapidly evolving landscape where AI-driven integration and MCP servers are reshaping how APIs are built, tested, and consumed, being recognized by Gartner validates what our community and customers already know: Insomnia is a serious, enterprise-ready platform for modern API development and testing.

Is Prompt Engineering Dead? Here is the Reality... #promptengineering #generativeai #llm #ai

Remember the ‘Prompt Engineer’ hype? It’s died down, but prompts are still the heart of AI. They shape an LLM’s personality and focus by guiding its vast knowledge. Curious how these system prompts fit into complex, multi-agent enterprise systems? Listen to the complete breakdown in *EP 19: Demystifying Agents*

Debugging Encrypted Microservice Traffic with Speedscale's eBPF Collector

Production bugs that only reproduce in actual traffic can be some of the most frustrating bugs in software development. You can stare at your logs, add traces to your code, add instrumentation – and still not be able to see the actual requests that went over the wire. And that gets even harder when the requests are encrypted and the system is a black box. You can use tools like Wireshark or Kubeshark to capture the requests.

Spring Boot API Testing: A Practical Guide for Enterprise Teams

Enterprise Spring Boot APIs should be tested at three levels: unit tests for business logic, integration tests for external service behavior, and traffic replay for production edge cases. Most teams only do the first. This guide shows all three using a real Spring Boot application that calls external APIs (SpaceX, US Treasury) with JWT authentication. The kind of service that looks simple in development and breaks in production.

How to Evaluate and Replace Your API Platform Without Disrupting External Integrations

Replacing an API platform while partners depend on live integrations requires disciplined evaluation, precise compatibility planning, and a rollout that avoids downtime. This guide provides a practical playbook for IT and project managers to assess readiness, choose a target platform, and migrate with confidence. You will learn how to baseline current behavior, design a versioning and compatibility strategy, and stage a controlled cutover.