Reading (17)
A small, curated list of consistently high-signal writing I learn from.
Data engineering
- AWS Big Data Blog — Pragmatic patterns for data lakes, streaming, and analytics on AWS.
- Netflix TechBlog — Great writing on data infrastructure, reliability, and scale.
- Uber Engineering Blog — Real-world platform and data system lessons from large-scale operations.
- DoorDash Engineering Blog — Solid posts on pipelines, infra, and production engineering tradeoffs.
- Databricks Blog — Deep dives on Spark, lakehouse architectures, and production workflows.
- Confluent Blog — Streaming-first thinking: Kafka patterns, event-driven systems, ops.
- Stripe Engineering — High-quality writeups on building reliable systems at scale.
- Cloudflare Blog — Strong engineering writing; lots of systems + performance content.
AI/ML
- OpenAI Blog — Model releases, safety, and practical AI system notes.
- Anthropic News & Research — High-signal posts on language models, safety, and evaluation.
- Google DeepMind Blog — Research updates across AI, reasoning, and applied systems.
- Meta AI — Open models, infra, and applied research writeups.
- Hugging Face Blog — Tools, open-source models, and practical LLM workflows.
- Google AI Blog — ML research and product engineering notes across many domains.
- DeepLearning.AI — High-quality ML/AI commentary and learning resources.
- Distill — Exceptional ML explanations and visual, research-grade writing.
- Lil'Log (Lilian Weng) — Deep technical notes on ML and modern LLM topics.