
From Legacy Systems to Cloud-Native Agility: How Cloud 9 Infosystems Accelerates AWS Modernization
Modernize legacy systems with AWS—secure, scalable, and cloud-native solutions by Cloud 9 Infosystems.
Zensung® combines deep insurance domain expertise with advanced technology to deliver measurable value to insurers, partners, and policyholders. Its flagship platform, Zensure®, enables carriers to shift from traditional operations to digital-first, embedded, and ecosystem-driven models without disruption.
More than a technology vendor, Zensung® acts as a strategic transformation partner. Its modular and scalable solutions allow insurers to quickly modernize, unlock operational agility, and elevate performance across the full insurance value chain.
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:
Cloud 9 designed and executed a secure, cost-efficient, and AI-ready cloud transformation strategy tailored to Zensung’s requirements.
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.
Cloud 9 redesigned the environment using Azure Hybrid Benefits, Reserved Instances, and cloud rightsizing to dramatically reduce operational costs.
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.
Azure Monitor and Log Analytics were deployed to unify performance, cost, and security visibility under one dashboard, improving observability across all workloads.
Achieved through rightsizing, Reserved Instances, Azure Hybrid Benefits, and optimized storage/network configurations.
Automated governance via Azure Policy and Microsoft Defender for Cloud significantly reduced audit preparation and enforcement workloads.
Consolidated identity, policy control, and hardened configurations lifted the security score across workloads.
Azure’s built-in redundancy, availability zones, and continuous monitoring improved reliability.
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.
Size: 1,000+ employees
Location: Mumbai
Financial Services

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