Development PlatformAWS Cost OptimizationECS ModernizationAWS
Case Study · Multi-Service Development Platform

Development Environment Cost Optimization & Modernization

A multi-service development platform reduced AWS infrastructure costs by 20–35% through ECS-based redesign, scheduled scaling, and resource consolidation.

Client Profile
Multi-Service Development Platform
IndustryMulti-Service Platform
RegionAWS
StackECS on EC2, RDS, VPC, CloudWatch
Duration4–6 Weeks
20–35%
Infrastructure cost reduced
ECS
Modernized architecture
10–6
Scheduled scaling hours: Mon–Sat
RDS
Databases migrated & consolidated
The Challenge

Growing development workloads. Rising infrastructure costs.

As development workloads expanded across the platform, AWS infrastructure costs climbed steadily. Resources ran continuously regardless of actual usage, and fragmented environments made operations harder to manage.

Before

Fragmented & always-on

  • Multiple databases running separately across different VPCs
  • Compute resources running 24/7 even outside working hours
  • Workloads spread across different VPCs with no centralized management
  • Increasing infrastructure cost as more development workloads were added
  • Monitoring and maintenance required excessive operational effort
After

Centralized & scheduled

  • Centralized ECS-based architecture with organized VPC structure
  • Scheduled scaling: workloads run 10 AM–6 PM, Mon–Sat only
  • Databases migrated into new RDS instances within updated environment
  • ECS Auto Scaling adjusts resources based on actual workload demand
  • Centralized CloudWatch monitoring for infrastructure visibility
Our Approach

Three steps. Assessment to optimization.

We followed a structured approach: assess the existing environment, migrate workloads to a centralized ECS architecture, and optimize with scheduled scaling and monitoring.

Step 1 · Week 1–2 · Assessment & Architecture Design

Environment review & architecture planning

  • Reviewed existing development environment and resource utilization
  • Identified compute resources running outside business hours unnecessarily
  • Mapped database deployments spread across multiple VPCs
  • Designed new centralized ECS-based architecture with organized VPC structure
  • Planned database migration strategy to minimize disruption
Step 2 · Week 3–4 · Migration & Deployment

ECS cluster deployment & database migration

  • Deployed new ECS cluster for development applications
  • Created organized VPC structure for centralized workload management
  • Migrated existing databases to new RDS instances
  • Moved workloads to ECS services for better scalability and resource control
  • Configured ECS Auto Scaling policies based on workload demand
Step 3 · Week 5–6 · Optimization & Cleanup

Scheduled scaling, monitoring & cleanup

  • Implemented scheduled scaling: 10 AM–6 PM, Monday–Saturday
  • Integrated Amazon CloudWatch for centralized monitoring
  • Removed old and unused RDS resources after successful migration
  • Validated application stability and development workflow continuity
  • Documented new architecture and operational procedures
Results

What changed, measurably.

The engagement delivered cost reduction, operational simplification, and workload flexibility through a modernized, centralized architecture.

20–35% Cost Reduction

Development infrastructure cost reduced through better workload scheduling, removal of unused resources, and improved compute utilization.

20–35%

Scheduled Scaling

Workloads now run only during business hours (10 AM–6 PM, Mon–Sat), eliminating idle compute usage overnight and weekends.

Simplified Operations

Centralized ECS architecture and CloudWatch monitoring reduced operational effort and improved infrastructure visibility.

Workload Flexibility

ECS Auto Scaling adjusts resources based on actual demand instead of keeping infrastructure continuously active.

The environment became easier to manage and monitor, and the operations team gained better visibility into infrastructure usage and AWS spending.

PL
Platform LeadMulti-Service Development Platform (anonymized)
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