
Discover how model checkers like Alloy can find complex bugs and validate architectural proposals without running or viewing code, through formal specifications and simulations of system operations.

Explore Netflix's innovative approach to detecting anomalies in complex distributed systems using stream processing and simple algorithms, without relying on machine learning.

Explore the implementation of Fitbit's frontend server, covering queueing theory, software design, GC tuning, and Netty library, with practical insights on building fast, stable, scalable, and extensible systems.

Explore high-volume, low-latency performance engineering at MasterCard, covering real-time fraud detection, system architecture, testing strategies, and optimization techniques for millisecond-level transaction processing.

Explore Zipline, Airbnb's declarative feature engineering library for ML, reducing data preparation time from months to days and enabling efficient point-in-time correct feature generation.

Explore distributed tracing in microservices: concepts, implementation patterns, and troubleshooting techniques. Learn about OpenTelemetry and its benefits for modern, polyglot environments.

Explore the evolution and challenges of distributed build systems, focusing on Google's scalable solutions for fast and resilient development workflows.

Explore Netflix's multi-region strategy for improved availability and latency, including algebraic models, incident management, and design considerations for efficient failovers and user steering.

Explores deep learning model sparsity via Tensor-with-Sparsity-Attribute, enabling efficient sparse models across various patterns and optimization techniques, delivering significant speedups compared to state-of-the-art solutions.

Explores improving application performance by deliberately delaying and reordering network packets to increase traffic locality, enhancing cache efficiency in high-speed network interfaces.

Innovative virtual switch solution preventing packet loss and improving network performance through dynamic queuing, doorbell queues, and overlay network techniques for enhanced application responsiveness.

Innovative system for metadata-private voice communication, scaling to 32K users with low latency. Utilizes untrusted infrastructure and novel mailbox assignment, improving on existing solutions for secure communication.

Explore TEMERAIRE, a hugepage-aware memory allocator enhancing TCMALLOC to reduce CPU overheads, improve application performance, and optimize fleet efficiency in warehouse-scale computing.

Explore power capping in data centers with Thunderbolt, a system optimizing throughput and quality of service. Learn about hardware-agnostic solutions for safe power oversubscription and task-level QoS differentiation.

Explore Clipper, a low-latency prediction serving system that enhances machine learning deployment with improved latency, throughput, accuracy, and robustness across various frameworks and applications.

Explore Facebook's TAO, a distributed data store designed for efficient social graph access. Learn about its architecture, API, and how it handles billions of reads and millions of writes per second.

Explore a secure data-sharing system that protects user privacy and ensures data integrity through decentralized trust, hiding identities and detecting server-side violations.

Explores a new availability metric for cloud applications: windowed user-uptime. Discusses its advantages over traditional metrics in accurately reflecting user experience and distinguishing outage patterns.

Explore Wikipedia's server-side architecture, from routers to microservices, and learn how open-source technologies power one of the world's top websites.

Explores intra-process isolation for high-throughput data plane libraries, proposing protected libraries as a new OS abstraction to achieve safety and performance in kernel-bypass approaches for managing high-speed devices.

Explore AIFM, a high-performance system enabling efficient use of remote memory in datacenters. Learn about its API, runtime, and benefits for applications facing memory constraints.