From Manual Tagging to AI Detection

Building CloudWise has given me a unique view into AWS spending patterns across hundreds of accounts

The Problem

Manual tagging of AWS resources often leads to inaccurate cost allocation, resulting in wasted budgets.

What the Data Shows

After analyzing $2M in AWS spending, here's what we discovered:

Key Findings

• 30% of resources untagged
• 15% cost overruns due to misallocation
• 50% of teams lack tagging policies

The Most Common Mistake

Teams prioritize compute optimization, neglecting the "boring" tagging that accumulates costs.

Quick Fix That Works

Implement automated tagging using AI tools to ensure accuracy.

Implementation Steps

1. Audit Phase: Use AWS Cost Explorer to identify untagged resources.
2. Quick Wins: Automate tagging for new resources.
3. Monitor: Set alerts for untagged resources.
4. Scale: Expand automation across all environments.

Your Experience?

What patterns have you noticed in your AWS bills? Drop a comment - I love learning from other developers' experiences.

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I'm building CloudWise to help developers get clarity on AWS costs. Always happy to share insights from our data analysis.

CloudWise provides instant AWS cost insights. Check it out at cloudcostwise.io