Architecture

One team owns the contract while consumers participate through compatibility tests and change visibility.

Start from observable failures and invariants, then introduce algorithms as tools that preserve them.

Allocate a percentile-aware deadline across work, dependencies, queues, and limited retries.

Stage exposure, define observability and rollback signals, and test compatibility before scaling traffic.

Give newcomers a map, a runnable path, progressive tasks, and feedback loops instead of a document dump.

Place data and behavior that change under one invariant behind the same consistency boundary.

Keep domain decisions behind ports and push transport and storage details to adapters.

State a measurable hypothesis, control the workload, compare distributions, and retain a rollback path.

Review correctness under concurrency, bounds, failure behavior, observability, and rollout—not only syntax.

Strong internal boundaries earn optional distribution without paying network and operations costs early.

Share constraints and alternatives early, assign decision ownership, and record unresolved risks.

Record context, forces, decision, consequences, and revisit triggers while the reasoning is fresh.

Translate user journeys into load, latency, consistency, privacy, availability, and cost envelopes.

Each service adds deployment, ownership, observability, compatibility, and failure-management obligations.

Automate checks for the architectural properties that must remain true as teams and systems change.