Tag: systems engineering

This is a classic reference for understanding PostgreSQL below the SQL surface. Query processing, storage, concurrency, and transaction behavior become much less mysterious when the internals are visible.

Keeping the original http URL is intentional because that is the source that resolves. This is reference material, not a polished marketing page.

This is a good systems explanation for software developers who use databases every day but have not built a mental model of parsing, planning, storage, indexes, and execution.

Worth keeping because better database intuition changes how you design APIs, migrations, reports, and data products.

This older workflow/state-machine link is worth keeping because the lesson keeps repeating: protocols, product flows, and background jobs become easier to reason about when states and transitions are explicit.

It is not modern tooling guidance. It is a useful reminder that workflows are a modeling technique before they are a SaaS category.

This is a useful architecture link because CQRS is powerful and easy to overapply. Separating reads from writes can clarify a system, but it can also introduce synchronization, consistency, and mental overhead.

The value here is the warning label as much as the pattern. Architecture patterns should earn their complexity.

This belongs in the queue because "event-driven" can mean several different things, and teams get into trouble when they use the same phrase for different architectures.

It is especially useful for product and data systems where event notification, event-carried state transfer, sourcing, and stream processing all imply different failure modes.