Systems | Development | Analytics | API | Testing

The AI Blueprint for the Next Decade | BUILD 2025 Luminary Conversation

AI has already fundamentally changed how we interact with data on a daily basis, and it’s going to keep changing. As we embrace agentic and conversational AI tools, there remain foundational questions to answer about how and where we use this technology, and how we iterate and innovate with it for the future. Join Snowflake CEO Sridhar Ramaswamy for a fireside chat with two of the most influential figures in artificial intelligence: Andrew Ng, Executive Chairman of LandingAI and founder of DeepLearning.AI, and Swami Sivasubramanian, VP of Agentic AI at Amazon Web Services.

DreamFactory Data Integration Logging Best Practices

Data integration logging is the process of recording events and activities during data movement across systems, ensuring accuracy, troubleshooting, and regulatory compliance. In complex environments like those of Netflix and Airbnb, logging is critical for system reliability and performance. However, challenges such as managing large log volumes, inconsistent formats, and compliance requirements make effective logging difficult.

How To Use Software Testing Metrics To Drive Better Qa Decisions

Why do some QA teams consistently deliver reliable and high-quality software, while others toil to identify bugs and experience unstable releases? The real difference often is related to how easily the team is able to use software testing metrics to make measurable decisions. Often, the testing process turns out to be a routine checklist activity – run the tests, publish the results, and move on. However, without useful test metrics, the QA teams simply keep guessing.

Introducing the Katalon Support Assistant: Smart Support, Faster Answers

Getting the right answer to a technical question, right when you need it, can be the difference between a minor speedbump and a major roadblock. We all know the feeling of being stuck on a specific error or needing a quick "how-to" guide to keep a project moving. That's why we’re excited to announce that the new 24/7 Katalon Support Assistant is now live in production! It's an AI-powered technical support agent and the fastest way to get the help you need, anytime.

Building a Business Case for Test Automation in Insurance industry

Insurance companies face unique challenges in delivering reliable software quickly. Policy updates, claims processing, and regulatory compliance all demand precision and speed. Manual testing alone can create delays, introduce errors, and increase operational risk. That's where test automation for insurance industry comes in. Repetitive regression tests that previously take up so much time can easily be automated.

Fix an error in Copilot without leaving your IDE

Production errors are every developer's nightmare. You're enjoying your coffee when suddenly alerts start firing - users are experiencing crashes, and you need to find and fix the issue fast. Today, we'll walk you through how to use AI to diagnose and fix critical errors in an application using Rollbar's MCP (Model Context Protocol) server.

Securing Government Procurement with Low-Code Platforms

Procurement applications sit at the heart of government operations. These systems are prime targets for cyber attacks because they manage critical, high-value data, including: They also connect with core enterprise systems (e.g., ERP, HR, financial management), creating additional risk points. In the wrong hands, this data could allow adversaries to piece together strategic mission capabilities. In this environment, security isn’t optional—it’s foundational.

Cloud vs. On-Premise: Incident Response with DreamFactory

When it comes to handling security breaches, cloud and on-premise environments offer vastly different incident response approaches. Here's what you need to know: Cloud setups prioritize speed and automation. They reduce recovery times by up to 80% with tools like automated playbooks, real-time monitoring, and built-in redundancy. On-premise systems offer full control over hardware and data but rely heavily on manual processes, leading to 25% longer recovery times on average.

Load Vs Performance Vs Stress Testing: Differences & Examples

Load testing, performance testing and stress testing are often mixed up, but in today’s CI/CD pipelines and production-grade engineering, they are solving completely different purposed. If you want to: Automate testing within CI/CD pipelines, such as with Keploy, JMeter, Locust, or k6 This guide discusses the difference like Performance testing, Load testing and Stress testing.