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GCP to OCI Case Study

35% Cloud Cost Optimization & 6-Week Zero-Downtime Migration

How Cyber Oxygen seamlessly migrated 50+ microservices from GCP to OCI, slashing infrastructure spend while maintaining 100% uptime.

35% Reduced Spend | 100% Uptime | 6-Week Delivery | 40% Faster Issue Resolution

 

The Challenge

A mid-sized SaaS provider was experiencing rapid user growth, but their Google Cloud Platform (GCP) infrastructure costs were scaling at an unsustainable rate. To regain control of their budget and leverage specialized database pricing, they made the strategic decision to migrate their entire environment to Oracle Cloud Infrastructure (OCI). However, with a 24/7 global user base, they needed a partner capable of executing a complex, multi-cloud migration flawlessly within a tight 6-week timeframe.

The Cyber Oxygen Solution

Our team engineered a comprehensive, zero-downtime migration strategy centered on modern DevOps workflows and Infrastructure as Code (IaC).

  • Automated Infrastructure: We utilized Terraform to script and provision the new OCI environment, ensuring a precise, repeatable, and error-free deployment ahead of schedule.
  • Container Orchestration: We successfully transitioned over 50 active microservices into the OCI Kubernetes Engine (OKE), meticulously redesigning compute shapes and autoscaling policies to match actual workload demands.
  • Cross-Cloud Observability: To ensure a smooth transition, we deployed Prometheus and Grafana alongside native cloud tools. This single-pane-of-glass dashboard granted the engineering team real-time visibility across both GCP and OCI.

The Results

The transition was invisible to the client’s end-users, but the business impact was immediate.

  • Cost Efficiency: Reduced monthly cloud infrastructure spend by 35% within the first quarter of deployment.
  • Flawless Execution: Achieved absolute zero downtime throughout the 6-week migration of the 50+ microservices.
  • Enhanced Operations: Equipped the internal IT team with centralized monitoring, reducing Mean Time To Resolution (MTTR) for bugs and performance issues by 40%.

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Proven Results

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