Weekend Reading #68

Weekend Reading: A weekly roundup of interesting Software Architecture and Programming articles from tech companies. Find fresh ideas and insights every weekend.

This week: DDD bounded contexts, Netflix Live Origin streaming infrastructure, Uber’s shift to cloud-native observability, and Lyft’s evolving feature store architecture.

Design Microservices: Using DDD Bounded Contexts

👉 Great if you’re designing large systems and want to reduce ambiguity between teams or modules.

The article describes how to define service boundaries using DDD and Bounded Contexts.  

Netflix Live Origin Platform

👉 Useful insight if you’re building low-latency streaming systems or real-time delivery platforms.

Netflix describes its custom origin service, built as a multi-tenant microservice on AWS, that provides reliable segment availability for live streams. 

Uber: From Monitoring to Cloud-Native Observability

👉 Recommended if you’re building modern observability stacks for microservices or hybrid cloud systems.

Uber shares theit jorney to evolve from traditional monitoring to a cloud-based monitoring and observability system.  

Lyft: Feature Store Architecture, Optimization, and Evolution

👉 Valuable if you’re building or scaling ML platforms with shared feature pipelines.

A deep dive into Lyft’s feature store infrastructure for machine learning. The article explains how the platform manages, optimizes, and develops feature definitions for both training and real-time inference.