Decision framework

Architecture principles

A practical framework for choosing what to build, what to defer, how to operate it, and how to recover it.

01

Architecture must be deliverable

A diagram that the available team cannot implement is not a viable architecture.

In practice
Size boundaries, operations, and sequencing to the real team and deadline.

02

Design rollback before migration

Production change requires a tested recovery path.

In practice
Define stop conditions, recovery ownership, and data handling before cutover.

03

Complexity must buy measurable value

Additional infrastructure must address a demonstrated constraint.

In practice
Prefer simpler boundaries until scale, isolation, or ownership evidence justifies more.

04

Operational readiness is architecture

Monitoring, logging, alerting, incident response, and ownership belong in the design.

In practice
A production diagram is incomplete when it ends before observability and recovery.

05

Standards should enable teams

Governance should reduce ambiguity and repeated decision-making.

In practice
Use paved paths and review criteria rather than one-size-fits-all approval gates.

06

Modernization is evolutionary

Existing systems and organizational constraints are architecture inputs.

In practice
Create safe seams for change instead of assuming a full rewrite is available.

07

Evidence precedes optimization

Performance and reliability claims require measurements.

In practice
Establish baselines and failure signals before tuning or scaling.