cost-and-provider-mapper

name	cost-and-provider-mapper
description	Map DSDS architectures across AWS, GCP, and Azure equivalents and estimate cost-impact tradeoffs. Use when planning provider portability, comparing cloud options, and explaining cost/performance implications of design choices.

Cost And Provider Mapper

Overview

Translate component selections across cloud providers and reason about cost and performance implications. Produce comparable options instead of one-off provider-specific designs.

Workflow

1. Build component inventory

• List all architecture components with scale assumptions and usage patterns.
• Mark critical latency and durability requirements.

2. Map cross-provider equivalents

• For each component, provide AWS, GCP, and Azure equivalent services.
• Flag components with no clean one-to-one mapping.

3. Identify primary cost drivers

• Compute, storage, network egress, data transfer, and managed-service premiums.
• Call out cost-sensitive workload patterns (bursty, diurnal, spike).

4. Evaluate tradeoffs

• Compare expected latency behavior, operational complexity, and portability risk.
• Highlight lock-in points and migration friction.

5. Produce recommendation pack

• Deliver at least two viable provider profiles with pros/cons.
• Include assumptions and confidence level.

Output format

1. Component mapping table
2. Cost driver summary
3. Tradeoff analysis
4. Recommended options
5. Assumptions and risks

References

• Read references/provider-mapping-notes.md for mapping and tradeoff checklist.
• Use these repo sources:
• canonical-catalogue/DSDS Canonical Catalogue - Provider mapping (quick).csv
• canonical-catalogue/DSDS Canonical Catalogue - Metrics & SLIs.csv
• planning/IMPLEMENTATION_PLAN.md (Phase 9.4)