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Cloud Cost Analysis

Analyze and optimize cloud infrastructure costs — identifying waste, right-sizing resources, evaluating reserved vs on-demand pricing, and producing savings roadmaps with ROI projections.

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System Design Document
cloud-cost-analysis/
    • aws-quarterly-review.md4.1 KB
  • SKILL.md6.8 KB
cloud-cost-analysis/examples/aws-quarterly-review.md
aws-quarterly-review.md
Markdown
1# Q4 2025 AWS Cost Analysis — Relay Logistics
2 
3## Spend Summary
4 
5Analysis period: October-December 2025. Account: relay-prod (ID 481923756012).
6 
7| Service | Monthly Cost | % of Total | Trend (3mo) |
8|------------------|-------------|------------|-------------|
9| EC2 / Compute | $67,400 | 41% | +18% |
10| RDS (PostgreSQL) | $34,200 | 21% | +6% |
11| S3 / Storage | $19,800 | 12% | +14% |
12| Data Transfer | $16,500 | 10% | +31% |
13| ElastiCache | $11,300 | 7% | flat |
14| Other | $14,800 | 9% | +4% |
15| **Total** | **$164,000**| **100%** | **+14%** |
16 
17Data transfer is the fastest-growing category. Cross-AZ traffic between the API tier and RDS accounts for $9,200/mo of the $16,500.
18 
19## Waste Identification
20 
21| Resource | Type | Issue | Monthly Cost | Est. Savings |
22|----------|------|-------|-------------|-------------|
23| 14 unattached EBS volumes | gp3 | Orphaned after Nov migration | $840 | $840 |
24| staging-api (3 instances) | m5.xlarge | Running 24/7, used Mon-Fri 9-6 | $1,620 | $1,050 |
25| qa-db-cluster | db.r5.2xlarge | 4% avg CPU, <1 GB data | $2,100 | $1,680 |
26| route-optimizer-snapshots | EBS snapshots | 340 daily snapshots, no lifecycle policy | $1,900 | $1,520 |
27| demo-environment | Full stack | Last accessed Sept 12, running since July | $3,200 | $3,200 |
28 
29**Total identifiable waste: $8,290/month ($99,480/year)**
30 
31## Right-Sizing Recommendations
32 
33Based on 30-day CloudWatch metrics (Nov 15 - Dec 15):
34 
35| Resource | Current | Avg CPU | Avg Mem | Recommended | Monthly Savings |
36|----------|---------|---------|---------|-------------|-----------------|
37| api-prod-1 through api-prod-4 | m5.2xlarge | 14% | 31% | m5.xlarge | $720 (x4 = $2,880) |
38| shipment-worker-1..3 | c5.4xlarge | 11% | 18% | c5.xlarge | $460 (x3 = $1,380) |
39| analytics-db-replica | db.r5.4xlarge | 19% | 42% | db.r5.2xlarge | $1,040 |
40| cache-routing | cache.r5.2xlarge | 8% | 22% | cache.r5.large | $680 |
41 
42**Total right-sizing opportunity: $5,980/month**
43 
44## Pricing Model Optimization
45 
46Current mix: 92% on-demand, 8% reserved (legacy 1-year RIs expiring March 2026).
47 
48- **Compute Savings Plan (1-year):** Commit $28/hr based on floor utilization across all regions. Projected savings: $8,400/mo (31% discount vs. on-demand).
49- **RDS Reserved Instances (1-year):** Reserve the primary db.r5.2xlarge (recommended post-downsize) and two read replicas. Break-even at month 8. Savings: $4,100/mo.
50- **Spot for batch workers:** The route-optimizer fleet (6 c5.2xlarge) is fault-tolerant with checkpointing. Spot discount at current pricing: 68%. Savings: $3,800/mo with 2-minute interruption handling already in place.
51- **Staging scheduling:** Stop staging-api and staging-worker nightly 7 PM - 7 AM and weekends. Savings: $1,050/mo.
52 
53## Savings Roadmap
54 
55| Priority | Action | Monthly Savings | Effort | Timeline |
56|----------|--------|----------------|--------|----------|
57| P0 | Delete 14 orphaned EBS volumes | $840 | 1 hour | This week |
58| P0 | Shut down demo environment | $3,200 | 1 hour | This week |
59| P0 | Add snapshot lifecycle policy (keep 7 days) | $1,520 | 2 hours | This week |
60| P0 | Schedule staging environments | $1,050 | 1 day | This week |
61| P1 | Right-size api-prod instances (m5.xlarge) | $2,880 | 3 days | 2 weeks |
62| P1 | Purchase 1-year Compute Savings Plan | $8,400 | 1 day | 30 days |
63| P1 | Reserve downsized RDS instances | $4,100 | 1 day | 30 days |
64| P2 | Move route-optimizer to spot fleet | $3,800 | 1 sprint | 60 days |
65| P2 | Right-size remaining instances | $3,100 | 1 week | 60 days |
66| P2 | Move cross-AZ traffic to same-AZ placement | $4,600 | 2 sprints | 90 days |
67 
68## ROI Projection
69 
70- **Quick wins (week 1):** $6,610/mo savings, 0 engineering days
71- **Medium-term (30 days):** $21,890/mo cumulative, ~5 engineering days ($4,000 implementation cost)
72- **Full realization (90 days):** $33,490/mo = **$401,880/year**, ~22 engineering days ($17,600 implementation cost)
73- **Net first-year savings:** $384,280 (after implementation cost)
74- **Spend reduction:** 20.4% of current monthly bill
75 
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