Cost & Performance Architecture
Part 5: Running It Like a Platform
Part 5, “Running It Like a Platform,” has so far covered how to operate the platform (DataOps, orchestration, metadata) and how to keep it trustworthy and safe (quality, MDM, security, governance) — this group closes that arc by asking whether the result is actually sustainable to run. A platform can be reliable, well-governed, and still architecturally broken if nobody priced the storage tiers, the compute pattern, or the query shape it invites. The two topics here are that closing pair: cost as a first-class design constraint across storage, compute, and egress, and performance tuned deliberately by workload rather than chased generically — the last lever an architect pulls before the course turns, in Part 6, to serving that platform’s output and keeping it up.
mindmap
root((Cost & Performance Architecture))
("Cost as an Architectural Decision")
("Performance Architecture: Tuning by Workload")
Topics
| # | Topic |
|---|---|
| 1 | Cost as an Architectural Decision: Storage, Compute & Egress Economics |
| 2 | Performance Architecture: Tuning by Workload |
| ← Previous: Security & Governance: Access Control, Federated Governance & Compliance by Design | Next: Cost as an Architectural Decision: Storage, Compute & Egress Economics → | |:—|—:|