Systems | Development | Analytics | API | Testing

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KPIs for Cost Management: Evaluating Costs in Databricks

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.

Turbocharging Atlas: How we reduced server initialization time to less than 2 minutes

ThoughtSpot prioritizes the high availability and minimal downtime of our systems to ensure a seamless user experience. In the realm of modern analytics platforms, where rapid and efficient processing of large datasets is essential, swift metadata access and management are critical for optimal system performance. Any delays in metadata retrieval can negatively impact user experience, resulting in decreased productivity and satisfaction.

Functional Testing: An In-Depth Overview

To define it simply, we can say- Functional testing ensures every part of an application does exactly what it’s supposed to do. It’s about verifying that the software’s functions and features behave as expected from an end-user’s perspective. And unlike other types of testing, such as performance or load testing, functional testing focuses on the functionality itself rather than factors like speed or stability under load.

New Challenges in Software Quality Brought by GenAI and LLMs | Federico Toledo | #Testflix2024

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.

Combining Automation Frameworks with Design Patterns | Raneesh Chaudhary | #Testflix2024

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.

What is Test Observability in Software Testing?

In software testing, it is our job to understand how applications behave in their real-world environment. With observability, teams gain a better view: not just detecting issues but understanding why they’re occurring in the first place. In testing observability, unlike traditional monitoring, which typically signals when things go wrong, observability focuses on why and where it happened so the team can optimize system health.

Why CSPs Should Consider Using GPU-as-a-Service

When it comes to building AI models, the process is often oversimplified as “just get a GPU and start building.” While securing access to GPUs can be a challenge, gaining access to GPU clusters is only the beginning of the journey. The real complexity lies in effectively leveraging GPU capabilities to deliver meaningful business impact.