Future Improvements
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Included in this chapter:
- The improvement loop and the six WAF pillars
- Reading improvement signals off the platform
- Cloud-first for new work, the ladder for old work
- Exam-pattern recognition
Where improvement signals come from
| Signal source | Active Assist / Recommender | Gemini Cloud Assist | Carbon Footprint |
|---|---|---|---|
| What it produces | Per-resource recommendations and insights with estimated impact | Natural-language design, troubleshooting, and optimization guidance | Gross emissions reporting by project, service, and region |
| Primary pillars served | Cost, security, performance, reliability, manageability, sustainability | Operational excellence and cost (design and optimize across lifecycle) | Sustainability |
| Best for | An actionable, prioritized backlog of concrete fixes | Exploratory design help and root-cause-driven optimization | Measuring emissions so you can target reductions |
| Output you act on | Apply or dismiss a specific recommendation (e.g. rightsize a VM) | Generated guidance, queries, or IaC you review and apply | A metric you reduce via region choice and reclaiming waste |
Decision tree
Cheat sheet
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References
- Google Cloud Well-Architected Framework Well-Architected
- Well-Architected Framework: Cost optimization pillar Well-Architected
- Well-Architected Framework: Operational excellence pillar Well-Architected
- Active Assist / Recommender overview
- Gemini Cloud Assist overview
- View Carbon Footprint data
- What is Cloud Run
- GKE Autopilot overview
- Migrate to Google Cloud: Get started Well-Architected