Cost Optimization Metrics
Actual AWS cost reductions from real client implementations
AWS Monthly Spend
$2,904
Before
→
$810
After
72%
Cost Reduction
EC2 Instance Costs
$600/day
Before
→
$345/day
After
42%
Reduction
S3 Storage Costs
$11.80/day
Before
→
$0.50/day
After
96%
Reduction
Data Transfer Costs
$65/day
Before
→
$15/day
After
77%
Reduction
EC2 Instances Cost Trend: Daily costs reduced from ~$600/day to ~$345/day through spot instances and Karpenter optimization
Performance Improvements
Real response time and throughput improvements from actual deployments
API Response Time
450ms
Before (P95)
→
195ms
After (P95)
57%
Faster
Database Query Time
800ms
Before
→
130ms
After
84%
Faster
Deployment Time
45 min
Before
→
6 min
After
87%
Faster
Cache Hit Rate
68%
Before
→
91%
After
+23%
Improvement
Reliability Metrics
Uptime, incident reduction, and alert optimization results
Production Incidents
4-5/month
Before
→
0
After (6 months)
100%
Reduction
Alert Volume
~195/week
Before
→
15/week
After
92%
Noise Reduction
Mean Time to Detection
15 min
Before
→
2 min
After
87%
Faster
Mean Time to Resolution
45 min
Before
→
10 min
After
78%
Faster
Scaling Capabilities
Infrastructure scaling metrics from real growth scenarios
User Growth Handled
5,000
Users (Start)
→
15,000
Users (6 months)
3x
Growth
Auto-Scaling Range
Fixed
Before
→
6-18 nodes
After (Auto)
Dynamic
Scaling
Database Load
100%
Primary DB
→
~30%
Primary DB
70%
Load Reduction
Data Source: All metrics shown above are from actual client implementations. We maintain detailed documentation including AWS cost reports, monitoring dashboards, deployment logs, and incident records. Metrics are anonymized to protect client confidentiality. Request access to detailed case studies for complete technical implementation details.