Integrations that fail to deliver consistent performance and suffer from long processing times inevitably fall short of the high standards set by today's dynamic business environment. Providing a seamless integration of Apache Kafka with various data sources and destinations is crucial in the fast-paced world of data streaming and real-time analytics.

Keeping your Node.js version up to date is essential for security, performance, and access to the latest features. New releases often include bug fixes, optimizations, and improvements that can enhance your development workflow. If you're using Windows, there are multiple ways to update Node.js, whether you prefer a simple installer, a package manager, or a version manager. In this guide, we’ll walk through different methods, so you can choose the one that best fits your needs.

2024 has been a transformative year for Katalon, filled with key updates and features designed to address the evolving needs of testers and teams worldwide. With 34 major releases across our suite of products, we’ve focused on making testing faster, smarter, and more efficient for a broad range of use cases. Here’s a look back at the most significant and impactful updates from 2024 to ensure you’re equipped for success in your testing journey.

Will developers and testers always be stuck advocating for quality, or can the technical and business sides ever connect?

Access to accurate, timely financial data is essential for finance professionals navigating the complexities of today’s dynamic business environment. In a world where business decisions need to be made quickly and confidently, having reliable data at your fingertips can make all the difference. Yet, achieving this level of insight is easier said than done.

Self-service financial reporting solution provides a new era of unmatched ease, flexibility, and accuracy for Microsoft Dynamics users.

Quality Assurance (QA) ensures that products meet defined standards and function as intended. As businesses grow and software becomes more complex, the need for scaling QA processes becomes even more noticeable. On the other hand, reporting helps track the progress of testing efforts, identifies defects, and measures the effectiveness of test strategies. Without proper reporting, it's challenging to maintain control over quality, especially as projects grow.

Production traffic can often be unpredictable, and distinguishing genuine user interactions from mere noise becomes a pivotal step in comprehensively grasping the types of requests and workflows occurring within your deployment. One important concept to explore in this context is shadow traffic, which plays a significant role in analytics and cybersecurity but is often misunderstood or rarely discussed.

It’s that time of year again—performance review season. Reviewing impact statements across various crafts, I’ve noticed a pattern among Quality Engineering (QE) professionals. Statements often focus on test cases, defects found, and deadlines met. But is that truly all we bring to the table? I believe there’s a much broader, often undervalued, impact on the QE role.

Generative AI’s potential to drive innovation, improve efficiency and create competitive advantages is enormous. However, the ability to fully realize the benefits of generative AI hinges on one crucial factor: data strategy. “Data Strategies for AI Leaders,” a report co-written by MIT and Snowflake, underscores how organizations must invest in robust data foundations to succeed in the AI era.