Raiffeisen Bank Aval is one of the top five commercial banks in Ukraine. The bank offers a wide range of standard and up-to-date banking services used by more than 2.5 million customers.
Partnered with Densify, Raiffeisen Bank Aval avoided significant expenses in additional hardware procurement by ensuring private cloud resources are perfectly aligned to workload demand patterns and business cycles.
Raiffeisen faced an initiative to modernize their private cloud infrastructure, but the team encountered difficulties with validating hardware requirements against purchase recommendations made by the hardware vendor. As a result, an additional 33% in hardware costs were expected for this 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.
Having ingested all historical VM utilization metrics across the private cloud infrastructure, Densify leveraged machine-learning-driven analytics to model the utilization patterns, establishing unique workload profiles for 923 of Raiffeisen’s VMs.
Understanding the workload profiles and new hardware benchmarks, Densify performed in-depth predictive analysis across the infrastructure to scientifically place these workloads onto fewer hosts, while at the same time rightsizing the VMs based on demand patterns.
Densify considered the following factors during multidimensional permutation analysis:
Densify machine learning can continuously optimize your VM footprint, ensuring all workloads get exactly the resources they need. See how we can help you in a 1:1 demonstration.
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