Raiffeisen Bank Aval Rightsizes Their VM Footprint with Densify
Customer Success Story
Raiffeisen Bank Aval Chooses Densify for Cloud Resource Alignment
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.
The Solution: Scientific Workload Placement & Rightsizing
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:
CPU and memory thresholds and overcommit ratios
Time-of-day utilization patterns
Recurring transaction activities
Production versus test and dev environments
Windows and Linux software licencing
Benchmarks of new HPE Synergy 480 Gen10 hardware
High availability
Transformation Summary
The results of Densify’s rightsizing and optimal placement of VMs across Raiffeisen’s private cloud infrastructure
The Result: Optimal Placement & Performance
Having implemented Densify’s recommendations, Raiffeisen Bank Aval rightsized their VMs with optimal placement across their private cloud infrastructure, achieving:
The provisioning of 14 HPE Synergy 480 ESXi hosts, compared 38 hosts originally
Their VM-to-host ratio safely increased from 24:1 to 66:1
Results of Scientific Rightsizing
Densify machine-learning-powered rightsizing enabled a 37% reduction in ESXi hosts and a 63% increase in VM-to-host ratio
Transform Your Infrastructure, On- & Off-Prem!
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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