Why Are Cloud Infrastructure Costs Surging?
A SaaS technology provider faces an unexpected 46% surge in cloud infrastructure expenses following a migration. The team must optimize workload sizing and commitments to restore budget discipline without degrading performance.
Context
You are a Cloud Engineer at a B2B software-as-a-service platform. Three months ago, the infrastructure group completed a lift-and-shift migration of the core monolithic services and supporting databases from an on-premise data center to a public cloud environment.
While system availability has remained steady at 99.98%, the monthly cloud bill for last month reached $82,400 against an approved budget of $56,000. Finance and the Infrastructure Lead have set a hard target: bring monthly recurring cloud spend below $58,000 within two months without compromising the 99.95% service level agreement.
You have two hours before the weekly infrastructure review to inspect the resource profile, evaluate optimization levers, and prepare your formal proposal for the Infrastructure Lead.
Your Task
Prepare a memorandum for the Infrastructure Lead structured in exactly three parts:
- Recommendation — the single primary strategy and technical path chosen to reduce monthly cloud expenditure below $58,000 sustainably.
- Impact — projected monthly dollar savings, resulting total cloud bill, break-even timeline, and operational risk assessment against the 99.95% SLA.
- Implementation Plan — sequence of technical initiatives, assigned ownership, milestones, and governance controls across the 60-day rollout window.
Available Data
Current Monthly Cloud Spend by Service Group
| Service Component | Sizing / Configuration | Provisioned Count | Monthly Cost ($) | Avg CPU Utilisation | Avg Memory Utilisation |
|---|---|---|---|---|---|
| Core Application VMs | 16 vCPU, 64 GB RAM | 24 instances | $24,192 | 7.4% | 18.2% |
| Reporting Workers | 8 vCPU, 32 GB RAM | 12 instances | $6,048 | 12.1% | 24.5% |
| Production Relational DB | Primary + 2 Read Replicas (32 vCPU, 128 GB) | 3 nodes | $18,450 | 28.6% | 45.0% |
| Staging & Testing VMs | Mixed (4-8 vCPU) | 18 instances | $7,200 | 3.2% | 11.0% |
| High-Performance SSD Storage | 120 TB Provisioned IOPS | - | $14,400 | N/A (32 TB used) | N/A |
| Standard Object Storage | 85 TB Standard Tier | - | $2,040 | N/A | N/A |
| Inter-Region & Egress Data | Uncompressed API telemetry | - | $10,070 | N/A | N/A |
| Total | $82,400 |
Operational Observations
- The initial cloud deployment mirrored on-premise hardware allocations one-for-one without performance testing or autoscaling.
- Staging and development environments run continuously 24 hours a day, 7 days a week, despite developer activity occurring strictly Monday through Friday between 08:00 and 19:00.
- Storage volumes were provisioned for three-year projected capacity with high-performance IOPS enabled across all application tiers regardless of I/O throughput requirements.