COST

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Icon 2 Codecollection: rw-cli-codecollection


GCP cost management toolkit: generate historical cost reports by service/project using BigQuery billing export

Tasks:
  • Generate GCP Cost Report By Service and Project Show More
    Common scenarios that might relate to this command or script:
    1. **Cost Visibility Initiatives**: When organizations need detailed visibility into GCP spending across multiple projects and services. 2. **Multi-Project Management**: For teams managing multiple GCP projects who need consolidated cost views and comparisons. 3. **Budget Planning**: When finance teams need accurate historical spending data to inform budget allocation and forecasting. 4. **Cost Optimization Projects**: During cloud cost optimization initiatives to identify high-spend areas and opportunities for savings. 5. **Regular Financial Reviews**: As part of monthly or quarterly financial reviews to track spending trends and validate budgets. 6. **Chargeback/Showback**: For organizations implementing cost allocation models where project costs need to be tracked and reported to different teams or departments. 7. **Cost Anomaly Detection**: To establish baseline spending patterns and identify unusual cost spikes or anomalies. 8. **Service-Level Analysis**: When teams need to understand which GCP services (Compute, Storage, BigQuery, etc.) are driving costs.
  • Get GCP Cost Optimization Recommendations

Icon 1 3 Troubleshooting Commands

Icon 2 Contributed by assistant

Icon 2 Codecollection: rw-cli-codecollection


Comprehensive Azure cost management toolkit: generate historical cost reports by service/resource group, analyze subscription cost health by identifying stopped functions on App Service Plans, propose consolidation opportunities, analyze AKS node pool utilization, and estimate potential cost savings with configurable discount factors

Tasks:
  • Generate Azure Cost Report By Service and Resource Group
  • Analyze App Service Plan Cost Optimization
  • Analyze AKS Node Pool Resizing Opportunities Based on Utilization Metrics