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Distributed Readings

Aggregating engineering wisdom, one blog at a time.

11 new this week
1 bookmarked
7 sources
Fetched April 13th, 2026
Cloudflare

500 Tbps of capacity: 16 years of scaling our global network

How to scale a global content delivery and DDoS mitigation network to handle massive throughput (500 Tbps) while maintaining capacity to protect against record-breaking attacks.

load-balancing distributed-systems
3 min
Cloudflare

Welcome to Agents Week

How to enable AI agents to operate effectively at the edge of the internet with the security, performance, and reliability characteristics of Cloudflare's existing infrastructure.

distributed-systems security
4 min
Meta

Escaping the Fork: How Meta Modernized WebRTC Across 50+ Use Cases

Meta needed to modernize WebRTC across 50+ use cases while maintaining synchronization with upstream open-source development, avoiding the drift that typically occurs when large projects fork internally.

distributed-systems real-time-systems
5 min
Meta

Trust But Canary: Configuration Safety at Scale

Safely deploying configuration changes at scale while minimizing the risk of widespread failures caused by faulty configurations.

observability distributed-systems
5 min

Fetched April 6th, 2026
LinkedIn

Announcing Our LinkedIn-Cornell 2024 Grant Recipients

Advancing AI research requires collaboration between industry and academia, but funding and partnership models need structured programs.

ml-systems general
3 min
LinkedIn

Career stories: Influencing engineering growth at LinkedIn

Growing engineering teams at scale requires clear career frameworks and mentorship to help engineers develop technical leadership skills.

general
3 min
LinkedIn

Career stories: The math-music connection in data science

Data science teams need diverse skill sets that blend mathematical rigor with creative problem-solving to build effective ML systems.

ml-systems general
3 min
Meta

AI for American-Produced Cement and Concrete

Designing high-quality, sustainable concrete mixes that are produced in the United States while optimizing for performance characteristics.

ml-systems general
5 min
Meta

KernelEvolve: How Meta’s Ranking Engineer Agent Optimizes AI Infrastructure

Meta needed to automatically optimize low-level infrastructure and kernel-level parameters for AI ranking models to improve performance without manual tuning.

ml-systems distributed-systems
5 min