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title: Best ByteByteGo posts — March 2025 | daily.dev
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# Best of ByteByteGo — March 2025

1. 1  
[](https://daily.dev/posts/ep156-software-architect-knowledge-map-nnkwtmraa "EP156: Software Architect Knowledge Map")  
Article  
![Avatar of bytebytego](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/35be29234ee14d01a9cd049c52e12753)ByteByteGo · 1y  
EP156: Software Architect Knowledge Map  
Becoming a Software Architect involves mastering programming languages, gaining proficiency in essential tools, understanding key design and architectural principles, and acquiring knowledge in platforms, data analytics, networking, and security. Supporting skills such as decision-making, communication, and leadership are also crucial for a well-rounded skill set.  
382  
4
2. 2  
[](https://daily.dev/posts/what-is-the-most-popular-open-source-ai-stack--znc9rnt2c "What Is the Most Popular Open-Source AI Stack?")  
Video  
![Avatar of bytebytego](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/35be29234ee14d01a9cd049c52e12753)ByteByteGo · 2y  
What Is the Most Popular Open-Source AI Stack?  
Open-source AI provides freedom to experiment and develop without proprietary restrictions with frameworks and tools like Next.js, Streamlit, Gradio, and FastAPI. The data layer involves retrieval-augmented generation (RAG), vector databases, and tools for diverse file formats. The back end includes FastAPI, Langchain, Metaflow, and OLama, facilitating scalable AI operations. The ecosystem also includes community-driven models from Hugging Face and dynamic LLMs like Mistral and DeepSeek.  
275
3. 3  
[](https://daily.dev/posts/how-netflix-stores-140-million-hours-of-viewing-data-per-day-h6vabpgul "How Netflix Stores 140 Million Hours of Viewing Data Per Day")  
Article  
![Avatar of bytebytego](https://media.daily.dev/image/upload/t_logo,f_auto/v1/logos/35be29234ee14d01a9cd049c52e12753)ByteByteGo · 1y  
How Netflix Stores 140 Million Hours of Viewing Data Per Day  
Netflix handles millions of hours of viewing data daily by using Apache Cassandra for flexible, scalable data storage. The system has evolved to manage the increasing volume and complexity of data, implementing strategies such as horizontal partitioning, compressed storage for older data, and efficient data retrieval methods. To further optimize performance and reduce costs, Netflix redesigned its architecture to categorize data by type and age, improving both storage efficiency and retrieval speeds.  
120

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