Systems | Development | Analytics | API | Testing

Beyond console.log: Smarter Debugging with Modern JavaScript Tooling

Ask any JavaScript developer their most used debugging tool and chances are the answer will be console.log. It’s immediate, low friction, and available in every browser. For development, it’s fantastic. But for production and complex applications, if you rely on console.log alone, cracks begin to show. It lacks context, doesn’t persist, and makes reproducing or analyzing user-reported issues a challenge. In this article, we’ll look at smarter, scalable debugging strategies.

It's time to start prioritizing every side of API discovery

Join us for a deep dive into API discovery – and why it’s time to treat it like a first-class priority. In this session, we’ll explore what we mean by the “two sides of API discovery” and why unifying both sides with a comprehensive solution is critical to driving API adoption and reuse, strengthening your organization’s security posture, and mitigating the financial and developer productivity-related costs associated with API sprawl.

Kong AI Gateway 3.11: Reduce Token Spend, Unlock Multimodal Innovation

Today, I'm excited to announce one of our largest Kong AI Gateway releases (3.11), which ships with several new features critical in building modern and reliable AI agents in production. We strongly recommend updating to this version to get access to the latest and greatest that AI infrastructure has to offer.

Kong Gateway Enterprise 3.11 Makes APIs & Event Streams More Powerful

We’re excited to bring you Kong Gateway Enterprise 3.11 with compelling new features to make your APIs and event streams even more powerful, including: We’ll also touch on what’s new with Konnect networking and Active Tracing. There’s a lot to unpack, so keep on reading for the full story!

Build Your Own Internal RAG Agent with Kong AI Gateway

RAG (Retrieval-Augmented Generation) is not a new concept in AI, and unsurprisingly, when talking to companies, everyone seems to have their own interpretation of how to implement it. So, let’s start with a refresher. RAG (short for Retrieval-Augmented Generation) is a technique that injects relevant data from an external knowledge source directly into a prompt before sending it to a Large Language Model (LLM). “But wait, my model is already fine-tuned on my domain-specific data.

Bridging SQL and Vector DBs: Unified Data AI Gateways for Hybrid AI Stacks

AI systems need both structured data (like spreadsheets) and unstructured data (like images or text). SQL databases excel at structured data, while vector databases handle unstructured data for tasks like similarity searches. The solution? Hybrid AI stacks that combine both through unified Data AI Gateways.

Advanced Strategies to Deploy Phoenix Applications with Kamal

In the first part of our series, we explored how Kamal simplifies Docker-based deployments while providing a cloud-like developer experience. We covered the basics of containerizing Phoenix applications, configuring Kamal, managing secrets, and implementing a CI/CD pipeline for automated deployments.

Service Catalog in Kong Konnect: The End of API Sprawl

Are your developers tired of the endless search for APIs? When teams can't find the services they need, innovation slows to a crawl. Developers waste valuable time digging through old repositories and outdated documentation, leading to frustration and project delays. That's why we built the Kong Service Catalog.

Blueprint for Enterprise GenAI: Governance, Gateways, and Guardrails

Generative AI is transforming how businesses operate, with 74% of enterprises already deploying it in production by 2025. The technology offers measurable benefits like a 1.7x ROI and cost reductions of 26–31% in key areas like supply chain and customer operations. But with rapid adoption comes serious risks - data breaches, AI bias, and compliance issues are top concerns.

Microsoft Fabric Data Masking with Perforce Delphix: Demo

In this demo, see how Microsoft Fabric data masking works with Perforce Delphix Compliance Services. Steve Karam walks through how you can ingest, discover, and irreversibly mask sensitive data across 170+ sources — including Snowflake, Databricks, Fabric Lakehouse, and Azure Data Lake — with seamless integration into Microsoft Fabric. Learn how to: With Delphix Compliance Services, you can deliver compliant, quality, ready-to-use data for AI and analytics at the speed and scale necessary for enterprise-level innovation.