This case study shows how a company weighed down by spiraling cloud costs and complex compliance requirements achieved operational clarity through a well-planned cloud migration. 

Zensung® struggled with underutilized EC2 instances, rising AWS spend, and manual compliance oversight. Migrating to Azure not only addressed these issues but delivered immediate gains cost optimization, simplified governance, and stronger access and identity control. 

Cloud 9’s role was pivotal. By mapping Zensung’s business challenges and designing a migration strategy aligned with both present and future needs, Cloud 9 transformed a fragmented, high-cost environment into a streamlined, secure, and scalable cloud ecosystem. 

Zensung® faced several cloud, cost, and governance challenges that limited operational efficiency and future scalability: 

• High AWS monthly expenditure due to underutilized EC2 instances and the absence of Reserved Instances or Savings Plans. 

• Security gaps resulting from scattered third-party integrations and distributed tools, increasing misconfiguration risks. 

• A fragmented cloud environment with limited visibility, complicating workload management, and governance. 

• Manual, time-consuming compliance processes for data residency, access control, and policy enforcement. 

• A complex IAM structure with numerous roles and policies, making identity and access management slow and error prone. 

Solution:

Cloud 9 designed and executed a secure, cost-efficient, and AI-ready cloud transformation strategy tailored to Zensung’s requirements. 

1. Seamless AWS-to-Azure Migration Framework

Using Azure Migrate, Cloud 9 implemented an automated migration with minimal downtime. All workloads—including the AI/ML environment—were transitioned into equivalent, optimized Azure VM configurations. 

2. Cost-Optimized Azure Architecture

Cloud 9 redesigned the environment using Azure Hybrid Benefits, Reserved Instances, and cloud rightsizing to dramatically reduce operational costs. 

3. AI/ML-Ready Azure Platform Modernization

The AI/ML workloads were modernized through Azure Machine Learning, GPU-optimized VM SKUs, and scalable compute resources for faster, cost-effective model training and deployment. 

4. Centralized Monitoring & Insights Framework

Azure Monitor and Log Analytics were deployed to unify performance, cost, and security visibility under one dashboard, improving observability across all workloads. 

Results:

• 30–45% Reduction in Monthly Cloud Costs
  Achieved through rightsizing, Reserved Instances, Azure Hybrid Benefits, and optimized storage/network configurations. 

• 70% Reduction in Manual Compliance Effort
  Automated governance via Azure Policy and Microsoft Defender for Cloud significantly reduced audit preparation and enforcement workloads. 

• 60% Improvement in Security Posture
  Consolidated identity, policy control, and hardened configurations lifted the security score across workloads. 

• 99.9%+ Availability Post-Migration
  Azure’s built-in redundancy, availability zones, and continuous monitoring improved reliability. 

• Real-Time Operational Visibility
  Centralized dashboards enabled faster detection and resolution, cutting issue resolution time by more than 50%. 

Want to streamline a fragmented cloud environment? Cloud 9 can guide your move to a secure and scalable Azure ecosystem.