Module 33: Cloud Platform Decisions

MODULE 33 · 4 LESSONS

Map one portable application architecture onto AWS, Google Cloud and Azure while keeping identity, networking, data and cost visible.

Project checkpoint: Produce three deployment diagrams and a weighted decision record for CourseFlow; implement only the option that matches real constraints.

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Module 33 learning loopA four-step visual showing compute, managed PostgreSQL, identity and networking, observability.Module 33 learning loop1Compute2Managed PostgreSQL3Identity AndNetworking4Observability

Module 33 learning loop

  1. 1Compute
  2. 2Managed PostgreSQL
  3. 3Identity And Networking
  4. 4Observability
Module 33 learning loop: a practical sequence used in this lesson.

What this module changes in your work

  • Map CourseFlow onto managed AWS building blocks without pretending a logo list is an architecture.
  • Make a defensible platform decision while distinguishing healthy managed-service dependence from accidental coupling.
  • Use compute, managed PostgreSQL, identity and networking in one coherent implementation.
  • Complete this evidence-backed checkpoint: Produce three deployment diagrams and a weighted decision record for CourseFlow; implement only the option that matches real constraints.

Lessons

PROJECT CHECKPOINT

Turn cloud platform decisions into evidence

Produce three deployment diagrams and a weighted decision record for CourseFlow; implement only the option that matches real constraints.

  • Write acceptance criteria for compute before implementation.
  • Keep the change small enough that a reviewer can connect it to the intended behavior.
  • Use the most direct check available for managed PostgreSQL and save the result.
  • Record one decision you would keep and one you would revisit after feedback.

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