How Netflix Uses Caching

Netflix redesigned Maestro's internal workflow engine, replacing the legacy Conductor 2. x-based stateless worker model with a custom stateful actor model built on Java 21 virtual threads.

This article discusses how Netflix built a resilient data platform using a Write-Ahead Log (WAL) to address data consistency, reliability, and operational efficiency challenges at scale.

The article discusses the evolution of Netflix's Tudum architecture, transitioning from a CQRS model utilizing Kafka to a more efficient system based on RAW Hollow.

Netflix's TimeSeries Data Abstraction Layer is designed to efficiently store and query vast amounts of temporal event data with low latency.

MezzFS is a tool developed by Netflix that mounts cloud objects as local files using FUSE, significantly enhancing their media processing platform.

The article discusses the implementation of cache warming at Netflix, focusing on the EVCache system that supports various services.

This article discusses Netflix's approach to scaling its time series data storage architecture in response to increased demand from global expansion and new features.

The article discusses the evolution of application data caching from RAM to SSD, highlighting the introduction of EVCache, a distributed in-memory caching solution.

The article discusses the open-source release of the Fast JSON API gem for Ruby on Rails applications, emphasizing its performance benefits over Active Model Serializer (AMS).

This article discusses Netflix's evolution of its time series data storage architecture to manage the massive growth of viewing history data.

The article discusses how Netflix's Open Connect Content Delivery team predicts content popularity to enhance infrastructure efficiency.

The article discusses how Netflix utilizes data science to enhance its content delivery network, Open Connect, which serves video streams to over 100 million members globally.

The article discusses Netflix's content distribution strategy through its Open Connect network, focusing on the processes involved in title readiness, proactive caching, and the architecture of Ope...

The article discusses Netflix's implementation of application data caching using SSDs, focusing on the EVCache architecture and the introduction of the Moneta project.

The article discusses Netflix's Experimentation Platform, emphasizing the importance of A/B testing in enhancing user experience through data-driven decisions.

The article discusses Netflix's evolution towards a global cloud architecture, emphasizing the transition from a single point of failure to a multi-regional deployment.

The article discusses the caching strategies employed by Netflix to enhance user experience through low-latency and high-reliability data access.

The article discusses how Netflix optimizes its content caching strategy during the holiday season to accommodate predictable viewing patterns.

The article discusses the implementation of the Falcor library for Android, focusing on its efficient data fetching and cache coherence capabilities.

The article discusses the development of the HTML5 Video Playback UI at Netflix, focusing on strategies and techniques for building a user-friendly interface that maintains consistency with the pre...

The article discusses the system architectures used by Netflix for personalization and recommendation, emphasizing the integration of online, nearline, and offline computation methods.

The article announces EVCache, a distributed in-memory caching solution based on memcached and spymemcached, optimized for Netflix's cloud infrastructure.

The article discusses the benchmarking of high-performance I/O using SSDs for Apache Cassandra on AWS, highlighting the advantages of the new hi1. 4xlarge instance type.

The article discusses Netflix's implementation of EVCache, a scalable memcache-based caching solution designed to enhance performance in cloud applications.