Cost Optimization and Managed Operations
Took over operational management of a large-scale e-commerce platform on AWS, implementing cost optimization, automated incident response, and disaster recovery across multiple regions.
Industry
E-Commerce / Retail
Duration
Ongoing (24+ months)
Engagement model
Managed operations engagement covering 24/7 monitoring, incident response automation, infrastructure optimization, and disaster recovery implementation.
99.99%
platform uptime
up from 98.5%
45%
AWS cost reduction
12 min
mean time to resolution
down from 4 hours
The platform experienced frequent outages during peak traffic events, monthly AWS bills exceeded budget by 60%, and the internal team lacked the capacity to manage infrastructure while also shipping product features. No documented runbooks or disaster recovery procedures existed.
Client context: A large-scale e-commerce platform on AWS was experiencing operational strain — frequent outages during peak traffic, runaway cloud costs, and no documented recovery procedures.
We established a managed operations practice with 24/7 monitoring, automated incident response via PagerDuty, and comprehensive runbooks for all critical paths. Infrastructure was refactored with Terraform, auto-scaling was tuned for traffic patterns, and a multi-region DR strategy was implemented and tested quarterly.
Operational assessment
Audited existing infrastructure, identified failure patterns, and mapped all critical service dependencies and traffic flows.
Monitoring and incident response
Deployed 24/7 monitoring with PagerDuty integration, built comprehensive runbooks, and established automated incident escalation workflows.
Infrastructure optimization
Refactored infrastructure with Terraform, tuned auto-scaling for traffic patterns, and implemented rightsizing and reserved instance strategies.
DR and resilience
Designed and implemented a multi-region disaster recovery strategy with quarterly testing and automated failover procedures.
Platform uptime improved from 98.5% to 99.99%
AWS spend reduced by 45% through rightsizing and reservations
Mean time to resolution reduced from 4 hours to 12 minutes
Successfully handled 10x traffic spikes during peak events
Architecture
- Auto-scaling tuned to traffic patterns with predictive scaling policies
- Multi-region active-passive DR with Route 53 failover
- Automated incident response via PagerDuty and Lambda
Business Goals
- Eliminate unplanned downtime during peak traffic events
- Reduce monthly AWS spend to within budget targets
- Free internal team to focus on product development
Constraints
- No downtime allowed during infrastructure refactoring
- Multi-region deployment with complex traffic routing
- Internal team capacity already fully allocated to feature work
Tech Stack