Cloud Optimization
WoodSkine — Cloud Cost Reduction & Elastic Infrastructure
Cloud spend reduced ~40%; 99.9%+ uptime maintained throughout migration.
What We Were Asked to Solve
WoodSkine’s platform had grown organically and was bleeding cloud spend on over-provisioned, poorly structured AWS infrastructure. Unoptimized Lambda functions, expensive always-on EC2 instances, and no autoscaling meant costs scaled linearly with traffic — unsustainably for a growth-stage company.
5-Step Engagement Framework
Technical Forensic Call
Mapped all AWS resources, identified the top 10 cost drivers, and quantified monthly waste.
Architecture Audit & Blueprint
Designed an elastically-scaled architecture and wrote a cost-reduction roadmap with projected savings per workload.
System Hardening
Migrated to containerized workloads, implemented autoscaling groups, and set up cost allocation tags across all environments.
High-Velocity Migration Sprints
Iteratively migrated services with zero-downtime deployments using blue-green strategy.
Hardened Handoff
Delivered full IaC (Terraform), runbooks, cost dashboards, on-call documentation, and team onboarding.
Technologies Used
AWS (EC2, Lambda, RDS, ECS, CloudFront) · Terraform · Docker · GitHub Actions · Datadog
Measurable Outcomes
- ✓ Cloud spend reduced by ~40% within 60 days of deployment
- ✓ 99.9%+ uptime maintained throughout the entire migration
- ✓ Zero production incidents during the migration window
- ✓ Full IaC coverage — infrastructure reproducible in under 15 minutes
- ✓ Engineering team onboarded to cost-conscious cloud practices
“We were burning cash on cloud without knowing it. Zenveus came in, found the leaks, and fixed them — all while keeping the platform running without a single outage.”
CTO, WoodSkine
Chief Technology Officer
Related Work
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