# Cloud FinOps Architecture Blueprint ## PHASE 1: AUDIT & IMMEDIATE QUICK WINS **Analysis:** At $45,000/month, running 150 EC2 instances with 24/7 Dev/QA environments is a massive capital drain. Development environments are typically only used 40 hours out of a 168-hour week. **Immediate Quick Wins:** 1. **Instance Scheduler:** Implement AWS Instance Scheduler. Shut down all non-production EC2 and RDS instances at 7:00 PM and start them at 7:00 AM on weekdays, and keep them completely off on weekends. *Estimated Savings: 65% reduction in Dev/QA compute costs.* 2. **EBS Volume Audit:** Terminate all unattached EBS volumes immediately. Developers often delete EC2 instances but forget to check the box to delete the root volume. 3. **Right-Sizing:** Review AWS Compute Optimizer. Downsize any instance running at < 10% average CPU utilization over the last 14 days (e.g., move from `m5.2xlarge` to `m5.large`). ## PHASE 2: ARCHITECTURAL MODERNIZATION **Compute Modernization:** - **Auto-Scaling Groups (ASG):** Instead of running a static fleet of 150 EC2s, configure ASGs triggered by CPU or network utilization. - **Spot Instances:** For background worker queues or stateless web servers, integrate AWS Spot Instances into your ASG. This can reduce compute costs for those specific nodes by up to 90% compared to On-Demand pricing. **Storage Modernization:** - Currently, 50TB of data sitting in S3 Standard is expensive. Implement an S3 Lifecycle Policy: Transition objects older than 30 days to S3 Standard-IA (Infrequent Access), and objects older than 90 days to Amazon S3 Glacier Deep Archive. ## PHASE 3: DISCOUNT & COMMITMENT STRATEGY **Commitment Model:** Compute Savings Plans. *Do NOT buy Reserved Instances (RIs) yet.* Once you have right-sized the instances and turned off Dev environments at night, your baseline compute will drop significantly. Once the new baseline is established (after 30 days), purchase a 1-Year Compute Savings Plan covering 70% of your consistent 24/7 production baseline. This provides a ~30% discount while leaving 30% of your fleet on-demand for flexibility. ## PHASE 4: COST GOVERNANCE & ALERTS **Tagging Strategy:** Implement an enforced AWS Tagging Policy. Every resource MUST have two tags: `Environment` (Prod, Stage, Dev) and `Team` (Frontend, Backend, Data). Resources spun up without these tags should be automatically terminated by AWS Config rules. **Billing Alerts:** Set up AWS Cost Anomaly Detection to alert a dedicated Slack channel immediately if daily spend spikes unexpectedly (e.g., a developer accidentally looping a Lambda function or leaving an expensive SageMaker notebook running).