The chapter explores the challenges faced by application developers in handling hardware complexities and emphasizes the importance of simplifying their work for better focus on product development. It also delves into the evolution of database management systems towards automation and optimization through optimizers, highlighting the historical shift from manual tuning to automated adjustments based on workload. Additionally, different deployment strategies for machine learning models are discussed, focusing on techniques like sharding model weights, considerations for latency and model size, and the trade-offs between various sharding methods.

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode