Bookmarks
How we built our multi-agent research system
On the the engineering challenges and lessons learned from building Claude's Research system
Have you tried rubbing a database on it?
HYTRADBOI was a conference featuring lightning talks on innovative uses of databases for solving problems. Talks included topics like building data-centric apps, realtime machine learning, and interactive databases. The event focused on embracing new solutions and fostering professional behavior among attendees.
Building and operating a pretty big storage system called S3
Dr. Werner Vogels shares insights from working on Amazon's S3 storage system, highlighting the scale and unique challenges faced. S3's design incorporates innovative strategies to efficiently handle vast amounts of data across millions of hard drives while prioritizing customer experience. Vogels emphasizes the need for a broader perspective on software systems and the rewarding journey of scaling as an engineer at Amazon.
How Netflix Really Uses Java
The discussion at Netflix delves into how Java is utilized within the company's architecture, highlighting their transition to Java 17 and ongoing testing with Java 21. The move to newer Java versions resulted in significant performance improvements, such as 20% better CPU usage with Java 17. Additionally, the implementation of GraphQL Federation and virtual threads in Java 21 are key advancements that are expected to impact the way code is written and scaled within Netflix's Java stack. The company's shift from Java 8 to Java 17 and the ongoing evolution of their technology frameworks and tooling, particularly focusing on Spring Boot, demonstrate their commitment to staying current with Java developments.
Subcategories
- applications (9)
- compression (9)
- computer_vision (8)
- deep_learning (94)
- ethics (2)
- generative_models (25)
- interpretability (17)
- natural_language_processing (24)
- optimization (7)
- recommendation (2)
- reinforcement_learning (11)
- supervised_learning (1)