Suppliers Canada Densify
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Densify has re-imagined infrastructure optimization and control for the cloud era with its next generation analytics service. Densify delivers operational simplicity while scientifically balancing infrastructure supply and application demand to maximize efficiency and cost-savings while enabling better performance.
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Densify is a predictive analytics service that optimizes cloud environments in real time, enabling customers to operate with less cloud cost, less infrastructure and better performing applications. Below is a collection of stories of how we have helped our customers achieve exceptional outcomes. Densify provides cloud cost visibility and reporting, in addition to making recommendations on which cloud resources to purchase that best fulfill the demands of your applications.

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Densify is a provider of Industrial IoT infrastructure as a service (iaas) technologies, and also active in the finance and insurance industries.
Infrastructure as a Service (IaaS)
Private Cloud
Use Cases
Process Control & Optimization
Finance & Insurance
Cloud Planning, Design & Implementation Services
Densify’s Technology Stack maps Densify’s participation in the infrastructure as a service (iaas) IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
  • Devices Layer
  • Robots
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
Number of Case Studies1
Raiffeisen Bank Aval's Cloud Resource Alignment with Densify: A Case Study
Raiffeisen Bank Aval, one of the top five commercial banks in Ukraine, faced a significant challenge in modernizing their private cloud infrastructure. The bank was struggling with validating hardware requirements against purchase recommendations made by the hardware vendor. This resulted in an expected additional 33% in hardware costs for the transformation project. The existing cloud environment had a VM-to-host ratio of 24:1, and it consisted of 38 VMware hosts and 923 virtual machines. The bank needed a solution that would help them avoid these additional expenses and ensure that their private cloud resources were perfectly aligned to workload demand patterns and business cycles.
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