The Challenge
Business Problem
Cloud bills grow unchecked because teams over-provision resources 'just in case.' Nobody reviews instance sizes, unused resources, or reserved instance coverage regularly.
The Approach
Solution Overview
Connect AWS MCP Server with Slack and Google Sheets to continuously analyze spending, identify waste, and recommend or auto-apply cost optimizations.
Step-by-Step
Implementation Steps
1
Collect Usage Data
Pull CPU, memory, and network utilization data for all cloud resources.
2
Identify Waste
Find idle resources, oversized instances, unattached volumes, and unused elastic IPs.
3
Generate Recommendations
Create prioritized optimization recommendations with estimated savings.
async function findSavings() {
const instances = await aws.describeInstances();
const recommendations = [];
for (const instance of instances) {
const cpuAvg = await aws.getMetric({ metric: 'CPUUtilization', instanceId: instance.id, period: '7d' });
if (cpuAvg < 10) {
recommendations.push({ resource: instance.id, type: 'downsize', currentType: instance.type, suggestedType: getSmallerType(instance.type), monthlySavings: estimateSavings(instance) });
}
}
await slack.sendMessage({ channel: '#cloud-costs', text: `Found $${sum(recommendations, 'monthlySavings')}/mo in potential savings across ${recommendations.length} resources` });
}4
Auto-Apply Safe Changes
Automatically apply low-risk optimizations like removing unattached volumes and releasing unused IPs.
Code
Code Examples
typescript
Savings Estimator
function estimateSavings(instance) {
const pricing = getInstancePricing(instance.type);
const smallerPricing = getInstancePricing(getSmallerType(instance.type));
return (pricing.hourly - smallerPricing.hourly) * 730; // hours per month
}Overview
ComplexityMedium
Estimated Time~12 hours
Tools Used
AWS MCP ServerSlack MCP ServerGoogle Sheets MCP Server
Industry
TechnologySaaSAll Industries
ROI Metrics
Time Saved10 hours/week
Cost Reduction20-40% reduction in cloud spend
Efficiency GainContinuous cost monitoring