Systems | Development | Analytics | API | Testing

Precise cost forecasting and management are essential, yet 80% of data management experts struggle (Forrester). The challenges stem from a lack of granular visibility, siloed data, and the absence of AI-driven predictive tools. Discover your new set of metrics to understand and optimize your spending with Unravel Data. Join this Weekly Walkthrough series, FinOps Metrics that Matter, to understand these core metrics to speak the language of both finance and data engineering, and bridge the gap between technical and business stakeholders.

This video provides a tour of the main Confluent Cloud interface, and shows you how to set up your first cluster.

In this session, we’re diving into seven powerful approaches to take your REST API testing to a whole new level. It’s not just about covering the basics – it’s about digging deeper to uncover hidden issues and truly understand how your APIs perform in various scenarios. You'll walk away with techniques that don’t just make your tests more effective but also give you insights that are critical for building resilient, reliable systems.

In a world where AI is advancing at lightning speed, it’s easy to wonder where humans fit in. But as Anuj Magazine explores in this session, there are core virtues that set us apart — qualities that no machine learning model or algorithm can replicate. These are the strengths that make us adaptable, compassionate, and resilient, enabling us to navigate not just technology, but life itself with purpose and meaning. This talk is a reflection on what it means to be human in an AI-driven world and why those timeless virtues will only grow more vital.

Learn how Speedscale Ephemeral Environments can simulate production conditions and data in a cluster or even locally on your laptop. Speedscale is different from other ephemeral environments since it automatically generates environments modeled after real traffic. This is enabled by sidecars and operators, backended with a sanitized cloud data warehouse.

In this session, we’re getting into how AI and machine learning are transforming test automation from a traditional, often repetitive process into something dynamic, efficient, and intelligent. It’s not just about speeding things up; it’s about creating smarter tests that adapt to changes, predict issues before they arise, and ultimately make your testing process more resilient. If you're looking to future-proof your testing strategies, this talk will give you the insight you need to do just that.

In this episode, we sit down with Ash Winter, seasoned community-focused tester, coach, and co-author of Team Guide to Software Testability. Ash brings his wealth of knowledge to discuss how testability isn't just about testing, but a team effort that transforms the way we build and maintain software. Key topics covered: Ash's enthusiasm and practical approach make this episode a must-listen for testers, developers, and tech leaders looking to improve their processes.

In this insightful session, Raneesh Chaudhary dives into the world of automation frameworks and how design patterns can empower them to handle more complex, "heavier" lifting. With design patterns as a foundation, scaling becomes a whole lot easier, setting your automation frameworks up for high-impact, long-term success. Raneesh walks us through the practical benefits of incorporating design patterns like the Facade, Factory, and Singleton, each bringing unique strengths to the table—from simplifying complex systems to managing resources efficiently.

In this compelling talk, Federico delves into the new challenges in software quality brought by the rise of Generative AI (GenAI) and Large Language Models (LLMs). As these advanced technologies become more integrated into applications, ensuring their quality presents unique hurdles. He explores the specific quality concerns associated with using LLMs, GenAI, and Retrieval-Augmented Generation (RAG), and discuss innovative testing approaches tailored to these systems. This session is designed to help you navigate these complexities, ensuring your applications not only meet but exceed quality standards.

Precise cost forecasting and management are essential, yet 80% of data management experts struggle (Forrester). The challenges stem from a lack of granular visibility, siloed data, and the absence of AI-driven predictive tools.Discover your new set of metrics to understand and optimize your spending with Unravel Data. Watch this Weekly Walkthrough series, FinOps Metrics that Matter, to understand these core metrics to speak the language of both finance and data engineering, and bridge the gap between technical and business stakeholders.