Systems | Development | Analytics | API | Testing

bugfender

How to Use GraphQL with Angular Using Apollo Client

Jun 18, 2025 By Wisdom Ekpotu In Bugfender
You’ve probably heard of the concept of ‘Frontend decides, backend delivers’ in app development. On the off-chance that you haven’t, it means that the frontend defines the data it needs, and the backend acts on this instruction. This makes the data-fetching process more efficient, simplifies the error handling process and frees us, the devs, from the need to constantly make backend changes. The GraphQL query language for APIs, developed by Facebook, is a vital tool in this regard.
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antino

Role of AI in Banking and How AI is Gaining Momentum?

Jun 18, 2025 By Radhakanth Kodukula In Antino
Let’s take a moment to think about how far we’ve come. Remember when opening a bank account meant sitting at a branch, filling out stacks of paperwork? Or when transferring money meant writing a cheque and hoping it cleared in a few days? Now, you can do all of that and so much more, with just a few taps on your phone. So, what changed? And more importantly, what’s driving this massive shift in how we bank today? The answer lies in one word: AI in Banking.
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kong

72% Say Enterprise GenAI Spending Going Up in 2025, Study Finds

Jun 18, 2025 By Eric Pulsifer In Kong
Enterprise adoption of large language models (LLMs) is surging. According to Gartner, more than 80% of enterprises will have deployed generative AI (GenAI) applications or used GenAI APIs by 2026, up from just 5% in 2023. That stark increase paints a telling picture: LLMs have evolved from a fringe technology to a cornerstone of business development and productivity. But as with any new technology, competition is fierce.
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kong

Kong's Dedicated Cloud Gateways: A Deep Dive

Jun 18, 2025 By Michael Field In Kong
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.
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rollbar

How to Avoid java.util.concurrent.TimeoutException

Jun 18, 2025 By Rollbar Editorial Team In Rollbar
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.
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Beyond Banking: The Journey Into AI-Powered Customer Experiences

Jun 17, 2025 By Snowflake Inc. In Snowflake
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.
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smartbear

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

Jun 17, 2025 By Steven Pepa In SmartBear
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.
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Prepare and Clean Education Data for Reports Instantly by Typing What You Need | Demo

Jun 17, 2025 By Astera Software In Astera
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.
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