After studying how companies deploy generative AI applications, I noticed many similarities in their platforms. This post outlines the common components of a generative AI platform, what they do, and how they are implemented. I try my best to keep the architecture general, but certain applications might deviate. This is what the overall architecture looks like.
Plan finances, make strategic decisions, and do risk assessment. Guesstimate uses stochastic models, Monte Carlo simulations, and sensitivity analyses.
Debugging distributed database mysteries with Rust, packet capture and Polars
Unravel a mysterious network bandwidth issue in QuestDB's primary-replica replication was identified and resolved. Learn about the tools and techniques used, including Rust for packet capture and Python with Polars for data analysis, to optimize network performance.
Browsers have been getting some pretty important features at a rapid pace lately. Features that might take several JavaScript (or CSS) libraries to implement are now available in browsers out of the box.