A newsletter covering several system design topics. The main focus is a comparison of three data architecture approaches: data warehouses (structured, schema-first, fast queries), data lakes (raw storage, flexible but prone to chaos without governance), and data mesh (decentralized ownership by domain teams, suited for larger orgs). Additional sections cover API design concepts (REST, GraphQL, gRPC, security, reliability), four server-update patterns (polling, long polling, SSE, webhooks), and the distinction between SLI, SLO, and SLA in service reliability.
Table of contents
✂️ Cut your QA cycles down to minutes with QA Wolf (Sponsored)Coding Agents Explained: How Claude Code, Codex & Cursor Actually WorkData Warehouse vs Data Lake vs Data MeshAPI Concepts Every Software Engineer Should KnowPolling vs Long Polling vs Webhooks vs SSESLA vs SLO vs SLIBuild with Claude Code — Course Direction SurveySort: