Cloud Solutions | Wolk Inc Case Study
Multi-Cloud Migration & Cost Optimization for an Enterprise SaaS Provider
How Wolk Inc led a hybrid-cloud migration program that improved resilience, disaster recovery posture, and infrastructure efficiency for an enterprise SaaS business.
At a Glance
- 60% reduction in infrastructure spend after migration and optimization
- 99.99% uptime maintained after the move to a resilient multi-cloud footprint
- 3 cloud providers coordinated under a single operating model
- Disaster recovery time objective reduced to under 15 minutes
60%
Reduction in infrastructure spend after migration and optimization.
99.99%
Uptime maintained after the move to a resilient multi-cloud footprint.
3
Cloud providers coordinated under a single operating model.
<15 min
Disaster recovery time objective after failover design improvements.
What changed and why it mattered
The client had outgrown its on-premise footprint and needed modernization without service instability or a prolonged transition period.
The underlying challenge
The infrastructure estate had grown in fragments. Costs were rising faster than revenue efficiency, provisioning was inconsistent, and recovery planning was not aligned to enterprise uptime expectations.
Leadership needed a migration that improved resilience and governance while still producing visible financial upside for the business.
What we delivered
- Multi-cloud target architecture spanning AWS, Azure, and GCP with clear workload placement rules.
- Migration sequencing that reduced operational disruption and protected core customer-facing systems.
- Infrastructure automation and repeatable provisioning using Terraform, Ansible, and cloud-native controls.
- Cost governance and rightsizing to reduce waste, improve visibility, and support forecasting.
- Disaster recovery alignment and failover playbooks for higher resilience under operational pressure.
How the program rolled out
Phase 1: Estate assessment
Existing workloads, costs, resiliency gaps, and migration dependencies were mapped.
Phase 2: Target architecture
Workload distribution, identity boundaries, and failover patterns were defined.
Phase 3: Migration waves
Services moved in controlled phases with rollback safety and monitoring.
Phase 4: FinOps hardening
Cloud governance and cost controls were introduced to keep savings durable.
Outcome for leadership and operations
- The client came out of the program with a more resilient infrastructure platform and materially lower ongoing spend.
- Engineering benefited from faster provisioning and cleaner environment management.
- Leadership gained confidence in uptime, recovery readiness, and cloud economics.
“Architecture, automation, and cost governance were treated as one program rather than three separate streams.”