---
title: Cost Optimization
category: product
entity_type: skill
price: $15
canonical: https://forgehouse.ai/skills/cost-optimization/
lang: en
hreflang_alt: https://forgehouse.ai/tr/skiller/cost-optimization/
last_updated: 2026-06-20
---

# Cost Optimization

> Optimize cloud costs through resource rightsizing, tagging strategies, reserved instances, and…

A systematic framework for cutting cloud spend across AWS, Azure, and GCP without sacrificing performance or reliability. It works through four levers: cost visibility, resource rightsizing, smart pricing models, and architecture optimization, and prioritizes the biggest line items first so effort lands where the savings are. Backed by tagging discipline, waste detection, and commitment strategy, it turns an opaque bill into a governed, accountable cost.

## Use cases
- Bringing down a cloud bill that has grown faster than usage
- Rightsizing over-provisioned compute and database instances
- Choosing between reserved, savings-plan, and spot pricing for a workload
- Setting up cost allocation tags and budget alerts for governance
- Sweeping for idle resources: unattached volumes, stale snapshots, idle load balancers
- Applying storage lifecycle policies to move cold data to cheaper tiers

## Benefits
- Cloud spend drops while performance and reliability stay intact
- Optimization effort targets the 20 percent of resources driving 80 percent of cost
- Idle and unused resources stop quietly accumulating charges
- Teams gain cost visibility and ownership instead of an opaque monthly bill

## What’s included
- A four-lever framework covering visibility, rightsizing, pricing, and architecture
- Reserved-instance, savings-plan, and spot or preemptible strategy across all three clouds
- Tagging standards with Terraform default-tags enforcement
- Storage lifecycle and multi-tier patterns for hot, warm, cold, and archive data
- Budget-alert and cost-anomaly-detection setup
- A weekly waste-detection routine and a full cost optimization checklist

## Who it’s for
Engineering and platform teams running cloud infrastructure who want to reduce spend systematically and build a culture of cost accountability.

## How it runs
The recurring cost-reduction loop the skill runs against a cloud account, step by step:
1. Establishes visibility before touching anything: mandatory cost allocation tags (Environment, CostCenter, Owner, Project) enforced via Tag Policy and Terraform default_tags, budget alerts at the 80 percent threshold, and anomaly detection so a spend spike pages someone instead of appearing on next month's invoice.
2. Applies Pareto to the bill: pulls the top services from Cost Explorer, since roughly five services typically carry 80 percent of spend, and deliberately ignores small line items until the big ones are handled.
3. Runs the weekly waste sweep: unattached EBS volumes, orphaned Elastic IPs, stale snapshots, idle load balancers and instances under 5 percent CPU get flagged, each finding carries a 48-hour action SLA.
4. Rightsizes and scales to zero: over-provisioned instances are downsized from real utilization data, dev and staging environments shut down outside working hours on a scheduler, and every always-on resource has to answer why it runs 24/7.
5. Locks in pricing discounts with data, not guesses: three months of utilization history first, then Reserved Instances or Savings Plans for the stable baseline (30 to 72 percent off) and Spot for batch and CI workloads (up to 90 percent off).
6. Closes the loop continuously: S3 lifecycle tiers at 30, 90 and 365 days, weekly cost reviews against the dashboards, and Compute Optimizer or Trusted Advisor recommendations triaged on the same cadence.

## FAQ
### I am on a single cloud, not all three. Does it still apply?
Yes, the four levers work whether you run AWS, Azure, GCP or just one of them, and they need visibility into your billing to find the biggest line items. A single provider only narrows the scope.

### How does it cut spend without quietly hurting performance or reliability?
Rightsizing targets provisioned capacity you are not using rather than the headroom you depend on, and it starts with the biggest line items so effort follows impact. The goal is removing waste, not trimming into the limits your workload genuinely needs.

### Does it actually make the changes or just recommend them?
It produces the prioritized plan, the rightsizing targets and the pricing-model call, but pulling the trigger in your cloud console stays with you. Any contract negotiation also stays yours, since those carry real operational risk.

## Price
$15, one-time, no subscription. VAT included.

Related guide: [How to run a marketing agency with AI automation](https://forgehouse.ai/guides/ai-marketing-agency-automation/)
