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Project Overview:

A growing technology-focused organization wanted to modernize its cloud ecosystem to support rapid scaling, reduce operational overhead, and improve visibility across microservices. The existing Azure deployment, though functional, was becoming increasingly complex and expensive for their long-term goals. Our DevOps engineering team was trusted to design and execute a seamless migration from Azure Kubernetes Service (AKS) to Google Kubernetes Engine (GKE), along with database, CI/CD, and monitoring ecosystem migration.

Business Industry:

Cloud Computing
Website Development

Services:

Cloud Computing

Impact we Created

30%

Cost Reduction

Faster Deployments & Higher Reliability

Stronger Observability

Challenge:

Despite having a well-structured Azure setup, the client faced several limitations:

  • Complex multi-subnet VNet architecture requiring intensive management
  • High operational overhead for AKS node pools and networking components such as Bastion, NAT, and NSGs
  • Fragmented monitoring relying heavily on custom Prometheus/Grafana integrations
  • Cost inefficiencies from VM usage and scaling constraints
  • CI/CD pipelines need significant adjustments to support growing workloads
  • Desire for more automation and developer-friendly toolchains

The business wanted a cloud platform that offered simpler operations, more automation, and better cost control—leading to the evaluation of GCP.

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Solutions:

We executed a structured, phased migration plan to ensure zero data loss, minimal downtime, and a smooth transition.

  1. Cloud Architecture Mapping
  2. Kubernetes Migration to GKE
  3. Database Migration
  4. CI/CD Pipeline Enhancements
  5. Monitoring & Logging Modernization
  6. Security & IAM Hardening

Ready to modernize your cloud infrastructure - Hire DevOps engineers from our expert team or contact us today for seamless Azure-to-GCP migrations and scalable solutions. Let's optimize your operations and reduce costs together.​

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