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Google Cloud Waf Cost Optimization

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  • Cloud and DevOps
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From the author

Evaluates Google Cloud workloads for cost efficiency and FinOps alignment using the Google Cloud Well-Architected Framework Cost Optimization pillar. Use when the user asks to analyze Google Cloud spend, reduce cloud bills, rightsize resources (for example, Compute, GKE, Storage, Databases), evaluate discount options (for example, CUDs, SUDs, Spot VMs), or eliminate idle capacity. Do not use for standalone product pricing lookups or non-cost architecture design.
— the description by Google

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill provides a structured approach to managing and reducing Google Cloud costs by applying the Cost Optimization pillar of the Google Cloud Well-Architected Framework. It emphasizes the FinOps lifecycle—Inform, Optimize, and Operate—to help organizations move from reactive spending to proactive, value-driven cloud financial management. The skill covers visibility tools, resource rightsizing, commitment strategies like CUDs and SUDs, and governance practices to ensure sustainable cloud efficiency.

What it does

  • Provides strategies for visibility using Cloud Billing reports and Looker Studio.
  • Identifies opportunities for rightsizing compute, storage, and database resources.
  • Explains how to leverage discount models including CUDs, SUDs, and Spot VMs.
  • Offers guidance on implementing lifecycle policies for storage cost management.
  • Suggests network optimization techniques like using Standard Network Tiers and Cloud CDN.
  • Includes a validation checklist for auditing existing cloud architectures.

When to use it

  • When analyzing current Google Cloud spend to identify waste.
  • When planning to rightsize infrastructure for better cost efficiency.
  • When evaluating commitment options like CUDs versus passive SUDs.
  • When establishing a culture of cost awareness and FinOps governance.
  • When auditing an architecture against Well-Architected Framework standards.

Advantages

  • Aligns cloud spending directly with measurable business value.
  • Promotes continuous improvement through iterative FinOps cycles.
  • Provides actionable, framework-aligned recommendations for diverse Google Cloud services.
  • Helps balance technical performance requirements with cost constraints.

Usage examples

“How can I reduce my monthly Google Cloud compute bill?”
The agent will provide a strategy covering rightsizing via Active Assist, evaluating CUDs and SUDs, and identifying idle resources.
“What are the best practices for managing storage costs in Cloud Storage?”
The agent will recommend using Storage Insights to analyze access patterns before implementing lifecycle policies to move data to lower-cost tiers.
“How do I improve cost visibility across my organization's projects?”
The agent will suggest using labels for attribution, setting up BigQuery billing exports, and creating custom dashboards in Looker Studio.
“Audit my current architecture for cost optimization.”
The agent will walk through the validation checklist, asking about labeling, budget alerts, and resource utilization to identify gaps.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/google/google-cloud-waf-cost-optimization/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip google-cloud-waf-cost-optimization.zip -d .agents/skills

Documentation by Google

Google Cloud Well-Architected Framework skill for the Cost Optimization pillar

Attribution

MUST READ: Before executing any gcloud, REST API, or MCP command, you MUST read and follow the instructions in Usage Attribution.

Overview

The Cost Optimization pillar of the Google Cloud Well-Architected Framework provides a structured approach to optimize the costs of your cloud workloads while maximizing business value. Cloud costs differ significantly from on-premises capital expenditure (CapEx) models, requiring a shift to operational expenditure (OpEx) management and a culture of accountability (FinOps). The FinOps lifecycle consists of three iterative phases:

  • Inform: Visibility and allocation. Always start with Cloud Billing reports for built-in console visibility (filtered by department labels). Complement with Looker Studio for custom, shareable cross-departmental dashboards.

  • Optimize: Rates and usage. Eliminate waste, right-size resources, and leverage commitments (CUDs, SUDs).

  • Operate: Continuous improvement. Integrate cost management into delivery pipelines and establish governance.

Operational instructions

  • Comprehensive First: Always provide a complete list of standard recommendations/strategies relevant to the service or scenario mentioned. Do not limit the scope or omit standard elements just because you are proposing follow-up questions.

  • Full Conjunction: When an instruction bundles multiple actions (e.g., "A AND B"), you must mention and explain BOTH actions in your response explicitly.

  • Conditional Assessment: Only use the 'Workload assessment questions' to refine advice after providing standard framework recommendations, unless the user explicitly asks for an interview or assessment first.

Core principles

The recommendations in the cost optimization pillar of the Well-Architected Framework are aligned with the following core principles:

Relevant Google Cloud products

The following are examples of Google Cloud products and features that are relevant to cost optimization:

  • Visibility and monitoring:

    • Cloud Billing reports: Built-in dashboards for visualizing spending and trends. Essential for visibility within the console.

    • BigQuery billing export: Enables granular, custom analysis of billing data using SQL and BI tools.

    • Looker Studio: Used for creating detailed, shared cost dashboards and reports. Use alongside Cloud Billing reports for custom visual insights.

    • Billing alerts and budgets: Automated notifications when spending reaches predefined thresholds.

    • Storage Insights: Used to analyze Cloud Storage access patterns and identify cost-saving opportunities.

  • Automation and optimization tools:

    • Recommender / Active Assist: Automatically identifies idle resources, rightsizing opportunities, and unused commitments.

    • Cloud Hub Optimization: Integrates billing and resource utilization data to help developers and application owners quickly identify their most expensive, fluctuating, or underutilized cloud resources.

    • FinOps hub: Presents active savings and optimization opportunities in one dashboard.

    • Billing quotas: Limits on resource consumption to prevent unexpected cost spikes.

  • Efficient infrastructure:

    • Managed services and serverless services: Services like Cloud Run, Cloud Run functions, and GKE Autopilot reduce operational overhead and pay-per-use scaling.

    • Compute Engine:

      • Committed Use Discounts (CUDs): Best for predictable, steady-state workloads.

      • Spot VMs: Best for fault-tolerant, interruptible, or unpredictable batch tasks.

      • Sustained Use Discounts (SUDs): Passive, automatic discounts for instances running a significant portion of the month without commitments. Always mention this as a passive alternative or complement to CUDs.

    • Cloud Storage Lifecycle Policies: Automated moves data to lower-cost storage classes (Nearline, Coldline, Archive) based on age or access. Note: Always recommend Storage Insights first to understand current access patterns before defining lifecycle rules.

    • Networking and Content Delivery:

      • Location awareness: Keep traffic within a single region where possible to avoid inter-region data transfer costs.

      • Cloud CDN: Caches content to reduce data egress from the origin.

      • Network Service Tiers: Offers Standard Tier as a lower-cost option compared to Premium Tier for latency-tolerant traffic.

      • Cloud Interconnect / Direct Peering: Optimizes costs for high-volume data transfer to on-premises environments. Note: Always clarify hybrid connectivity options when discussing egress control, as on-premises sync is often a factor in multi-regional designs.

    • Managed Databases:

      • Instance sizing: Right-size CPU and memory based on Cloud Monitoring metrics.

      • High Availability (HA): Implement HA only for production environments to avoid doubling node costs for all environments.

      • Storage Optimization: Optimize storage costs by managing backup retention policies AND explicitly identifying and deleting unused or idle resources (like unused and orphaned disks, expired snapshots, or idle instances).

  • Organization and governance:

    • Resource Manager: Logical structure (Organizations, Folders, Projects) for cost attribution.

    • Labels: Metadata tags for categorizing and filtering costs by environment, team, or application.

    • Organization Policy Service: Enforces constraints (e.g., restricted regions or machine types) to control costs.

Workload assessment questions

Ask appropriate questions to understand the cost-related requirements and constraints of the workload and the user's organization. Choose questions from the following list:

  • How do you incorporate cost considerations into your cloud architecture design process?

  • How do you foster a culture of cost awareness among your development teams?

  • How do you monitor and manage cloud costs across different projects or departments?

  • What strategies do you use to optimize the cost of your compute resources?

  • How do you balance cost optimization with the need for agility and innovation?

  • How do you ensure that you are not over-provisioning cloud resources?

  • How do you use data and analytics to drive cost optimization decisions?

  • How do you optimize costs in different environments (e.g., development, testing, production)?

  • How do you ensure that your cost optimization efforts are sustainable and ongoing?

  • How do you measure the success of your cloud cost optimization initiatives?

Validation checklist

Use the following checklist to evaluate the architecture's alignment with cost-optimization recommendations:

  • Cost Attribution: 100% of resources are labeled with key metadata (e.g., env, team, app).

  • Granular Visibility: BigQuery billing export is enabled and used for regular cost reviews.

  • Budgets and Alerts: Every project or business unit has defined budgets and active alerts.

  • Rightsizing: Resources are regularly adjusted based on rightsizing suggestions provided by Active Assist Recommender.

  • Commitment Strategy: Spend is reviewed monthly to optimize Committed Use Discount (CUD) coverage. For non-committed workloads, verify if Sustained Use Discounts (SUDs) are being captured automatically.

  • Idle Resource Management: Unused disks, IP addresses, and idle VMs are identified and removed monthly.

  • Managed Services: Serverless options are preferred for new workloads unless specific technical constraints exist.

  • Storage Tiers: Lifecycle policies are active for all major storage buckets to minimize archival costs. Be aware of retrieval fees associated with Nearline, Coldline and Archive storage classes.

  • Network Egress: Data transfer is minimized by keeping traffic regional, using Cloud CDN, and leveraging Standard Network Tier where appropriate. High-volume on-premises traffic uses Direct Peering or Cloud Interconnect (always verify if hybrid connectivity is involved).

  • Native Reporting: Cloud Billing reports must be used for standard views of spending trends in the console.

  • Custom Dashboards: Looker Studio is used for advanced, shareable, and customized reporting.

Files

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Requirements and compatibility

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

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Published by
Google
Publisher
Google (Official)
Source
google/skills · skills/cloud/google-cloud-waf-cost-optimization · commit 2194d3b
Licence
Apache License 2.0 (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
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