{
  "id": "stack-profile:infrastructure-cost-optimization",
  "_kind": "StackProfile",
  "_file": "domain/stack-profiles/deep-stacks-6.yaml",
  "_cluster": "domain",
  "attributes": {
    "displayName": "Infrastructure Cost Optimization (Python, Terraform, PostgreSQL, Grafana, Prometheus)",
    "description": "A FinOps platform that continuously monitors, analyzes, and optimizes\ncloud infrastructure spending across multi-cloud environments. Python\nscripts and scheduled jobs collect cost and usage data from cloud\nprovider APIs, normalize it into a common schema, and load it into\nPostgreSQL for analysis. Terraform modules encode rightsizing\nrecommendations as infrastructure changes that can be reviewed and\napplied through pull requests. Grafana dashboards visualize cost\ntrends, budget burn rates, and anomaly alerts with drill-down by\nteam, service, and resource type. Prometheus collects utilization\nmetrics to correlate with spending data for waste detection. The\ntradeoff is the lag between cost data availability and actionable\nrecommendations, and the organizational challenge of attributing\nshared infrastructure costs.\n",
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      "language:python",
      "tool:terraform",
      "tool:psql",
      "tool:grafana",
      "tool:prometheus",
      "library:boto3",
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