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Category: Blog

Why Application Isolation Is Not Enough for Cloud Security to Protect Your Data in the Cloud

As multi-tenancy risks mount, especially in storage, enterprises in regulated industries are shifting to single-tenant cloud architectures like Volumez to ensure provable isolation, compliance, and trust without sacrificing cloud agility.

Case Study: Stopping Fraud at Transaction Speed – How a Global Payments Leader Achieved 3X Faster Decisions with Volumez on Azure

By leveraging Volumez on Azure, the company transformed a challenging cloud migration into a competitive advantage—achieving low-latency performance, tripling fraud detection speed while cutting storage and compute costs by up to 50%.

Resilient by Design: How Volumez Elevates Multi-Zone High Availability  

Resilient by Design: How Volumez Elevates Multi-Zone High Availability

Volumez redefines cloud resilience by slashing complexity and cost, bringing enterprise-grade high availability and disaster recovery to multi-AZ environments.

Case Study: How a Technology Powerhouse Transformed Oracle on AWS and Saved Over $400K per Deployment

By streamlining infrastructure and optimizing Oracle licensing, Volumez revolutionized the company’s cloud economics—unlocking major cost savings, operational efficiency, and scalable innovation. This bold move redefined what’s possible for Oracle in the cloud.

New Independent Benchmark Shows Up to 80% Savings and Superior Latency vs AWS and Azure 

Volumez redefines cloud database storage by delivering dramatically superior performance and cost savings—up to 80% over native block storage—while OCI leads in both speed and affordability, making Volumez DIaaS the clear choice for any business seeking scalable, high-performance, and resilient public cloud solutions.

IT Press Tour 2025: Maximize GPU Yield and Automate AI/ML Data Pipelines with Volumez 

Volumez solves AI/ML infrastructure bottlenecks with Data Infrastructure as a Service platform, increasing GPU utilization to nearly 100% and simplifying deployments for data scientists.

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