SaaS
From On-Premise Data Center to Multi-Region Cloud in 16 Weeks
A Series B SaaS company was running critical workloads in a co-located data center whose lease was expiring in six months. We designed and executed a full cloud migration to GCP — Terraform-first, Kubernetes-native, zero downtime — and cut their infrastructure bill by 40% in the process.
Outcome
40% infrastructure cost reduction, zero-downtime migration
The Challenge
On-Premise Infrastructure With a Six-Month Deadline
The company had operated in a co-located data center for five years. The infrastructure had grown organically: bare-metal servers with hand-applied configurations, no infrastructure as code, manual deployment processes, and a single-region topology that left the business exposed to a complete outage if one rack failed.
- —Data center lease expiring in six months with no renewal option — migration was not optional, and any delay risked business continuity
- —No infrastructure as code — every server was configured manually, with configuration drift between environments and no reproducible provisioning process
- —Single-region architecture with no failover capability — the business had experienced two outages in the past year totaling 14 hours of downtime
- —Manual deployment process requiring SSH access, hand-edited config files, and no rollback mechanism — deployments were high-risk events that required all-hands availability
Architecture
A Cloud-Native Stack Built for Resilience and Automation
We designed the GCP target architecture to address every structural weakness in the current data center setup — multi-region high availability, infrastructure as code from day one, GitOps-based deployment automation, and observability built into every layer.
GKE Multi-Region Clusters
Two Google Kubernetes Engine clusters — primary in us-central1, secondary in us-east1 — with Global Load Balancing providing automatic failover. Applications are deployed to both regions simultaneously; failover is transparent to users.
Terraform Module Library
A library of 24 reusable Terraform modules covers every GCP resource: VPCs, GKE clusters, Cloud SQL, Cloud Storage, IAM, and monitoring. All infrastructure changes go through Terraform — no manual GCP console modifications allowed.
ArgoCD GitOps
ArgoCD manages all Kubernetes deployments from a dedicated GitOps repository. Application state is declarative and version-controlled; any divergence triggers an automatic sync or alert — eliminating configuration drift.
Prometheus and Grafana Observability
Prometheus scrapes metrics from all services and infrastructure components. Grafana dashboards provide real-time visibility into application health, resource utilization, and business SLOs — with PagerDuty alerting for any threshold breach.
Cloud SQL with Regional Failover
PostgreSQL databases migrated to Cloud SQL with automatic regional failover configured. Point-in-time recovery enabled with 30-day retention. Read replicas in both regions reduce cross-region latency for read-heavy workloads.
Workload Identity and IAM
Kubernetes service accounts mapped to GCP service accounts via Workload Identity — eliminating static credentials entirely. All IAM roles follow least-privilege principles with automated policy validation in the CI pipeline.
Our Approach
A Phased Migration With Traffic Shifting and Instant Rollback
We ran the data center and GCP environments in parallel for eight weeks, migrating services one by one using weighted traffic shifting. Each service migration included a 72-hour validation window before the data center instance was decommissioned — ensuring no service was cut over before its GCP counterpart was proven stable.
IaC-first approach — every GCP resource was provisioned through Terraform before a single workload migrated; no exceptions made even under time pressure
Chose GKE Autopilot over Standard mode for stateless workloads — reduced cluster management overhead and improved bin-packing efficiency, contributing directly to the cost reduction
Used Global Load Balancing for active-active multi-region rather than active-passive failover — eliminates cold-start latency on failover and distributes load across regions during normal operation
Blue-green cutover for the database layer — migrated to Cloud SQL with a read replica in GCP, then promoted to primary during a scheduled low-traffic window with a tested rollback procedure in place
Results
A More Reliable, More Affordable Infrastructure Stack
40%
Infrastructure cost reduction
0
Minutes of downtime during cutover
99.99%
Uptime SLA achieved post-migration
15min
Average deployment cycle time
The data center was fully decommissioned one week ahead of the lease deadline. The new GCP infrastructure costs 40% less than the co-location contract — primarily from right-sized compute, committed use discounts, and elimination of 12 over-provisioned bare-metal servers. Deployment cycles dropped from 3-hour manual processes to automated 15-minute GitOps-driven releases.
Ready to Modernize Your Infrastructure?
Whether you are facing a data center deadline or simply outgrowing on-premise constraints, we will design and execute a migration that eliminates risk and cuts costs.
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