Insights
Engineering Insights
Practical writing on software architecture, SaaS products, AI automation, legacy modernisation, and the business of building reliable systems.
Curated links from external sources — not 360Softy original articles.
Amazon Aurora Pricing: The many surprising costs of running an Aurora database
Amazon describes Aurora as a scalable database that's simple to manage, but if you've ever gone through the "Create database" wizard, you know that's not quite an accurate statement. From instance types to storage configurations to monitoring your database, there is much to consider when trying to price an Amazon Aurora cluster. In this article, we'll cover all the little details you'll need to understand the Amazon Aurora pricing model to get an accurate estimate for an Aurora database. The inf
Video generation models as world simulators
We explore large-scale training of generative models on video data. Specifically, we train text-conditional diffusion models jointly on videos and images of variable durations, resolutions and aspect ratios. We leverage a transformer architecture that operates on spacetime patches of video and image latent codes. Our largest model, Sora, is capable of generating a minute of high fidelity video. Our results suggest that scaling video generation models is a promising path towards building general
Prisma | A Business Case for Extended ESOP Exercise Windows
Explore extending ESOPs to 10 years, considering fairness, economics, benefits, challenges with Prisma's example, and startup compensation.
React Labs: What We've Been Working On – February 2024
In React Labs posts, we write about projects in active research and development. We’ve made significant progress since our last update, and we’d like to share our progress.
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