
Explore memory disaggregation and pooling through CXL technology, covering transparent tiering, fabric management, and advanced data services for modern computing architectures.

Explore CXL technology's impact on data center architecture, focusing on memory expansion, storage integration, and Samsung's innovations in memory semantic SSDs and computational storage.

Explore CXL memory module innovations, focusing on DRAM-level performance, data persistence, and security enhancements for improved system architecture and power management solutions.

Explore the potential of CXL-based NAND solutions, examining practical applications, technical hurdles, and emerging opportunities in memory expansion and data-centric computing technologies.

Explore memory disaggregation and tiering in CXL technology, comparing it with storage evolution patterns while examining OS support, drivers, and real-time implementation challenges.

Learn to build localized Elixir applications for global or specific audiences. Explore design patterns, workflows, and libraries to improve user experience and engagement through effective localization techniques.

Explore AWeber's decade-long use of RabbitMQ in production, covering topologies, standards, monitoring, and operational management for high-volume message delivery.

Explore scalable multi-tenant frontend architecture for e-commerce platforms. Learn about tenancy models, isolation strategies, and serverless computing. Discover solutions for domain mapping, routing, and caching in a practical demo.

Explore chaos engineering war games to enhance system resilience. Learn strategies for stakeholder engagement, tabletop exercises, and environment-based simulations to prepare for unexpected scenarios.

Explore intentional technical debt as a strategic tool for rapid development, using Squarespace's Email Campaigns as a case study. Learn practical guidelines for leveraging tech debt effectively.

Enhance communication abilities and boost confidence through effective public speaking techniques and presentation strategies.

Implement a component to measure e-commerce search engine relevance using NDCG theory. Learn practical details, integration, and ROI for preventing relevance regressions.

Explore an unbiased neural ranking model for product search, leveraging implicit customer feedback and addressing position bias to improve e-commerce search results.

Explore OTTO's journey in building and reinventing autosuggest infrastructure, covering deep technology, architecture, scalability, and team insights for high-performance e-commerce solutions.

Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.

Explore ML-powered search development through hypothesis-driven approaches. Learn from Uzum Market's journey in building a large-scale search system for e-commerce, focusing on metrics, evaluation, and AB testing.

Explore methods to evaluate embedding-based retrieval quality using organizational knowledge, improving relevance and expanding recall for e-commerce search beyond historical data.

Explore fairness in search results with NIST Scientist Emeritus Ellen Voorhees, discussing challenges and potential solutions in information retrieval systems.

Explore significant A/B test results of Vector (Hybrid) Search in e-commerce, revealing revenue increases and improved user engagement. Learn about embedding creation and result blending techniques.

Discover how User Behavior Insights system standardizes data collection for search professionals, enabling improved relevance and user experience through analysis of search patterns and behaviors.

Explore practical cases of splitting monolith applications into microservices, focusing on e-commerce and financial domains using Spring Boot, MongoDB, and Kafka.