
Explore Presto, an open-source distributed SQL query engine for data lakes. Learn its architecture, use cases, connectors, and performance benchmarking. Discover how Presto enables fast, scalable analytics on diverse data sources.

Explore strategies for managing high-demand AI services, including design for seamless changes, real-time monitoring, and auto-recovery using Kubernetes and Istio service mesh.

Explore GitLab's Tamland tool for capacity planning, leveraging long-term monitoring data and predictive forecasting to anticipate and address potential issues in large-scale service operations.

Explore QA topics with lightning talks on porting to Python 3 and test coverage metrics, offering quick insights into key software quality assurance concepts and practices.

Debunking myths about regulatory constraints on modern software development practices, emphasizing compatibility between compliance standards and agile methodologies for competitive advantage.

Yodeck's journey from zero QA to a robust department: strategies, challenges, and successes in building a quality assurance powerhouse from scratch in a fast-growing tech company.

Enhance front-end performance through browser-based load testing using Grafana and K6. Learn integration strategies, optimization techniques, and best practices for web applications.

Discover how to automate repetitive tasks like filling timesheets, posting updates, and managing environments using REST APIs, Selenium, and Python. Learn practical tips for identifying and simplifying tedious processes.

Explore negation's impact on neural information retrieval models, analyzing performance across architectures and proposing strategies to improve handling of negated queries.

Discover techniques for profiling and optimizing Apache Arrow on Arm platforms, including Top-down methodology, Arm SPE, and NEON. Learn to identify and resolve performance bottlenecks in complex workloads.

Explore pragmatic strategies for bridging the gap between data expectations and reality. Learn about integration tests, prioritization, and balancing technical and cultural measures in data quality management.

Explore RPA, TDD, and embedded systems integration using Robot Framework and Python. Learn to maximize testing potential in microcontroller environments through practical examples.

Explore Meta's innovative testing framework using privacy-safe synthetic data for compute engines, enhancing regression detection, test coverage, and release cycles in data warehousing.

Learn Robot Framework's keyword-driven approach for easy test automation, suitable for beginners and experienced testers alike.

Discover software engineering best practices for testing data science code, including mocking data and handling complex scenarios in machine learning projects.

Explore trust in engineering, its psychology, and relationship to time. Learn to create better trust rituals by reframing goals for improved team dynamics.

Explore APL's growth potential through packages and project management tools. Learn about Tatin registry, Cider, and alternatives for efficient library usage and development.

Explore CXL benchmarking techniques and insights with experts Adam Manzanares and Viacheslav Dubeyko, gaining valuable knowledge for Linux system optimization.

Explore practical algorithms for testing statistical correctness of samplers in high-dimensional settings, focusing on grey-box models and conditional sampling for efficient TV distance estimation.

Explore bounded pathwidth in control-flow graphs, its advantages over treewidth, and its applications in static analysis and compiler optimization. Gain insights into more efficient algorithms for program analysis.

Explore linear motors in 3D printing: functionality, control, performance testing, and potential advantages. Dive into electronics, compatibility, and real-world applications for this innovative technology.