Executive Overview
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$2.84M
Total MTD Spend
$487K
Estimated Waste
$312K
Savings Realized
67%
Budget Used
1,247
Resources Tracked
34%
Untagged Resources
Monthly Cloud Spend
$2.84M
▲ 12.4% vs last month
Budget: $4.2M | 67% used
Estimated Waste
$487K
▲ 8.1% — action needed
17.1% of total spend
Savings Achieved
$312K
▼ MTD savings target on track
Goal: $400K | 78% achieved
RI / SP Coverage
61%
▲ 5.2% vs last quarter
Target: 80% | Gap: 19%
Multi-Cloud Spend Over Time
DAILY · USD · ALL CLOUDS
Spend by Cloud
CURRENT MONTH
Amazon Web Services $1.24M
Microsoft Azure $842K
Google Cloud $516K
Oracle OCI $238K
Spend by Service Category
TOP 6 CATEGORIES
Cost by Environment
PROD · DEV · STAGING
FinOps Maturity Score
BY CATEGORY
Top Spending Teams THIS MONTH
Team / BU Cloud MTD Spend Budget % Used Waste % Trend Status
Platform Engineering AWS $412,800 $500,000
82%
18.2% ▲ 14% AT RISK
Data Analytics GCP $287,400 $350,000
82%
9.4% ▼ 3% ON TRACK
Product — Backend AZURE $341,200 $300,000
114%
27.6% ▲ 28% OVER BUDGET
ML / AI Research AWS $198,900 $250,000
79%
6.1% ▼ 2% ON TRACK
Infrastructure Ops OCI $87,300 $120,000
72%
14.8% → 0% ON TRACK
Compute Costs
$1.42M
▲ 9.2%
50% of total spend
Storage Costs
$487K
▲ 3.4%
17% of total spend
Networking Costs
$342K
▲ 18.7%
12% of total — spike detected
Database Costs
$421K
▼ 2.1%
15% of total spend
Cost by Service Category — Stacked
MONTHLY · 6M TREND
Top 10 Services by Cost
CURRENT MONTH
Resource Cost Breakdown TOP RESOURCES
Resource ID Service Cloud Region Team Daily Cost MTD Cost Projected Change
i-0a1b2c3d4e5f EC2 — r6g.8xlarge AWS us-east-1 Platform Eng $1,248 $37,440 $49,920 ▲ 22%
gke-cluster-prod-01 GKE Cluster GCP us-central1 Data Analytics $2,876 $86,280 $115,040 ▲ 31%
aks-prod-westeu AKS Cluster AZURE westeurope Product — BE $1,940 $58,200 $77,600 ▼ 4%
rds-prod-aurora-01 Aurora PostgreSQL AWS us-west-2 ML / AI Research $892 $26,760 $35,680 → 0%
bq-dataset-analytics BigQuery GCP us Data Analytics $1,104 $33,120 $44,160 ▼ 8%
Rightsizing Opportunities
187
▲ 23 new this week
Across all clouds
Potential Monthly Savings
$214K
▼ High confidence estimate
If all implemented today
Avg CPU Utilization
18.4%
▲ Low — overprovisioned
Target: >60% utilization
Always-On Dev VMs
64
▲ Running 24/7 needlessly
Est. waste: $28K/mo
CPU Utilization Distribution
ALL COMPUTE INSTANCES
Savings Opportunity by Cloud
MONTHLY POTENTIAL
Rightsizing Recommendations RANKED BY SAVINGS
Resource Cloud Current Size Recommended CPU Avg RAM Avg Monthly Cost Est. Saving Confidence Action
i-0a1b2c3d4e5f AWS r6g.8xlarge r6g.2xlarge 8.2% 22.1% $37,440 $28,080 HIGH
vm-prod-app-07 AZURE Standard_D32s_v3 Standard_D8s_v3 11.4% 19.8% $22,100 $16,575 HIGH
n2-standard-32-dev GCP n2-standard-32 STOP (idle) 2.1% 3.4% $8,640 $8,640 MEDIUM
oci-shape-bm-01 OCI BM.Standard3.64 VM.Standard3.8 17.3% 41.2% $14,200 $11,400 MEDIUM
Untagged Resources
423
▲ 34% of all resources
Finance cannot allocate costs
Partially Tagged
287
→ Missing key tags
23% of all resources
Fully Compliant
537
▲ 43% — improving
Target: 90% compliance
Unattributed Spend
$384K
▲ Cannot chargeback
13.5% of total MTD spend
Tagging Compliance by Cloud
% FULLY COMPLIANT
Missing Tags by Type
REQUIRED TAGS
Tag Compliance Trend
LAST 6 MONTHS
Compliance by Team
REQUIRED TAGS COVERAGE
ML / AI Research89%
Data Analytics76%
Infrastructure Ops61%
Platform Engineering54%
Product — Backend28%
Current RI/SP Coverage
61%
Target: 80%
Gap: 19% uncovered
Annual Commitment Savings
$847K
▼ vs on-demand pricing
Realized this fiscal year
Missed Savings Opportunity
$312K
▲ On-demand overspend
Could save with more RIs
RI Expiring in 90 Days
23
▲ Renewal action needed
Value: $184K annually
On-Demand vs Committed Spend
MONTHLY · 12 MONTHS
Coverage by Cloud Provider
RI + SP + CUD COMBINED
Active Commitments RESERVATIONS & SAVINGS PLANS
Commitment ID Cloud Type Service Start Date End Date Coverage Annual Value Utilization Status
ri-0x7f8a9b2c AWS 1-yr Reserved EC2 — r6g 2024-01-01 2024-12-31 60% $148,000
94%
ACTIVE
sp-compute-eu-01 AWS Savings Plan Compute 2024-03-01 2025-02-28 100% $96,000
88%
ACTIVE
cud-n2-us-central GCP CUD 3-Year Compute Engine 2023-07-01 2026-06-30 85% $72,000
72%
ACTIVE
ri-azure-westeu-d32 AZURE 1-yr Reserved VM D-series VMs 2024-02-01 2025-01-31 45% $84,000
54%
UNDERUSED
Projected Month-End Spend
$4.12M
▲ $88K over budget
95% confidence interval
Anomalies Detected
4
▲ 2 high severity
Last 7 days
Annual Run Rate
$33.8M
▲ 18% YoY growth
Based on 90-day trend
Forecast Accuracy
94.2%
▲ Prophet model (30d)
MAPE: 5.8%
Spend Forecast with Confidence Bands
ACTUAL + PROPHET FORECAST · 90-DAY OUTLOOK
Cost Anomaly Detection
LAST 30 DAYS · Z-SCORE METHOD
Unit Cost Metrics
COST PER UNIT · NORMALIZED
Cost per API call$0.00042
Cost per active user$3.47/mo
Cost per GB stored$0.0084
Cost per ML job$14.20
Cost per deployment$48.90
Critical Alerts
3
▲ Requires immediate action
Warning Alerts
4
→ Monitor closely
Info Alerts
12
→ FYI notifications
Resolved (7d)
28
▼ Good resolution rate
🔴 Critical Alerts
Budget Exceeded — Product Backend (Azure)
Team has spent $341,200 of $300,000 budget (114%). Overrun of $41,200. Escalate to team lead immediately.
2 hrs ago
CRITICAL
Cost Anomaly: GKE Cluster spend +340% vs baseline
gke-cluster-prod-01 (GCP, us-central1) spiked from $892/day avg to $3,924/day. Possible runaway job or misconfigured autoscaler.
4 hrs ago
CRITICAL
Reserved Instance Expiring in 7 Days — AWS us-east-1
RI ri-0x7f8a9b2c covers $12,300/mo of EC2 spend. Without renewal, cost increases 40% automatically. Renewal deadline: 2025-01-01.
1 day ago
CRITICAL
🟡 Warning Alerts
Platform Engineering approaching budget limit (82%)
At current burn rate, team will hit $500K budget in 6 days. Trending $412K MTD with 9 days remaining.
6 hrs ago
WARNING
64 dev/test instances running over weekend
Non-prod instances running outside business hours. Estimated unnecessary spend: $8,400 over past 3 weekends.
2 days ago
WARNING
247 untagged resources created this month
New resources being created without required tags. Teams: Product-BE (142), Infra Ops (67), Other (38).
3 days ago
WARNING
Azure RI utilization below threshold (54%)
ri-azure-westeu-d32 is 54% utilized vs 80% target. Wasted commitment: $38,640 annualized. Consider modifying or reselling.
4 days ago
WARNING
Active Policies
47
▼ All enforced
Policy Violations (7d)
124
▲ Needs remediation
Auto-Remediated
89
▼ 72% automation rate
Manual Review Needed
35
→ Awaiting approval
Policy Violations by Category
LAST 30 DAYS
Violation Trend
DAILY COUNT · 30 DAYS
Policy Registry POLICY AS CODE
Policy Name Cloud Category Type Violations (30d) Auto-Remediate Status
require-cost-center-tag AWS Tagging SCP 48 PARTIAL ACTIVE
no-public-ip-without-approval AZURE Security Azure Policy 12 YES ACTIVE
auto-stop-dev-nights-weekends GCP Lifecycle Org Policy 19 YES ACTIVE
max-instance-size-dev AWS Rightsizing SCP 3 NO ACTIVE
delete-snapshots-older-90d OCI Cleanup IAM Policy 7 YES DRAFT
Completed Initiatives
12
▼ $228K savings locked in
In Progress
8
→ $184K projected
Planned (Q1)
14
→ $340K projected
Blocked
3
▲ Needs unblocking
FinOps Initiative Timeline
Q4 2024 — Q2 2025
NOV 2024 · COMPLETED
Rightsizing Wave 1 — AWS EC2
Downsized 42 EC2 instances. Saved $78,400/month. Teams: Platform Eng, Data Analytics.
$78K/mo
DEC 2024 · COMPLETED
Tagging Policy Enforcement — AWS
Deployed SCPs requiring cost-center + environment tags. Compliance: 28% → 61%.
COMPLIANCE
JAN 2025 · IN PROGRESS
Savings Plans Expansion — Multi-Cloud
Increasing SP coverage from 61% → 80%. Negotiating 3-year CUDs with GCP for data platform.
$96K/yr
FEB 2025 · IN PROGRESS
Dev/Test Auto-Shutdown Policies
Deploying GCP Org Policies + AWS Lambda schedulers to auto-stop dev resources nights/weekends.
$28K/mo
MAR 2025 · PLANNED
Azure Rightsizing Wave — App Services
Target: Downsize 67 App Service plans. Projected savings: $44K/month.
$44K/mo
APR 2025 · PLANNED
FinOps Chargeback Model Go-Live
Full showback → chargeback transition. Each team owns their cloud P&L.
ORGANIZATIONAL
Q2 2025 · BLOCKED
OCI Compartment Restructure
Blocked: Pending OCI account team engagement + internal architecture review board approval.
BLOCKED
Savings Realization
MONTHLY · CUMULATIVE
Problem Severity Matrix
Problem Orgs Impact
Tagging Issues70–80%HIGH
Overprovisioned80%VERY HIGH
No Commitments60%HIGH
No Forecasting75%MED-HIGH
Multi-Cloud40%STRATEGIC