A system design refresher covering five topics: the architectural differences between CPUs, GPUs, and TPUs and when to use each; how OAuth 2 Authorization Code Flow with PKCE and Client Credentials Flow work; how distributed tracing works using OpenTelemetry; a deep dive into GPU internal architecture including Streaming Multiprocessors, warp schedulers, CUDA cores, and memory hierarchy; and four practical API Gateway use cases including rate limiting, auth centralization, request aggregation, and multi-client versioning.
Table of contents
✂️ Cut your QA cycles down to minutes with QA Wolf (Sponsored)CPU vs GPU vs TPUHow OAuth 2 WorksHow Distributed Tracing Works at the High Level?How GPUs Work at a High LevelTop 4 API Gateway Use CasesSort: