Systems | Development | Analytics | API | Testing

Kong's Dedicated Cloud Gateways: A Deep Dive

In case you missed it, we recently made a big announcement around beta GCP support for Kong’s Dedicated Cloud Gateways (DCGWs). There’s a lot of good stuff in there, but TL;DR DCGWs now support all three of the major cloud service providers (CSPs): AWS, Azure, and GCP at a 99.95% SLA with support for over 25 regions around the globe. Being the first API management vendor to support managed gateway deployments with all three CSPs has a lot of folks excited, for obvious reasons.

How to Avoid java.util.concurrent.TimeoutException

When Java operations hit their time limits, they throw java.util.concurrent.TimeoutException. This checked exception appears in scenarios ranging from thread synchronization barriers that never complete to Selenium tests waiting for elements that never appear. The challenge isn't just catching these exceptions—it's designing your code to handle timing constraints intelligently.

Beyond Banking: The Journey Into AI-Powered Customer Experiences

In this episode of the "Data Cloud Podcast," Dana Gardner, Principal Analyst at Interarbor Solutions, sits down with Ameesh Paleja, Executive Vice President of Enterprise Platform Technology at Capital One. They explore how Capital One leverages modern data architecture, automation, and AI to improve customer interactions and experiences. The conversation delves into the importance of standardized data, the role of AI-driven personalized services, and the integration of marketing and AI strategies.

Breaking Down Silos: Aligning QA, Dev, and DevOps to Build Better APIs

Software release cycles are accelerating. In fact, 85% of organizations now release at least once per month, with a 51% increase in automated testing spend last year alone. Yet API quality still breaks down. Why? APIs sit at the center of this acceleration, but as velocity increases, many organizations face a persistent challenge.

Prepare and Clean Education Data for Reports Instantly by Typing What You Need | Demo

Transform Raw Education Data into Reports Instantly by Typing What You Need Whether it's student records, attendance logs, or academic performance data, preparing education datasets is now easier than ever. With Astera’s AI-powered Data Prep, educators and analysts can clean, filter, and reshape education datasets using simple natural language commands. No technical expertise required. See how easily you can turn scattered education datasets into structured, report-ready insights through a chat-based interface.