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Cost and Efficiency Gains from Deloitte’s Use of Amazon EKS and vCluster

9 May 2026 by
TechStora

Challenges in Managing Dedicated Amazon EKS Clusters

Deloitte faced significant operational inefficiencies when managing dedicated Amazon EKS clusters for their quality assurance (QA) testing environments. Each testing requirement demanded a new cluster, which took between 30 to 45 minutes to provision. This delay disrupted development timelines and introduced operational bottlenecks.

Additionally, the infrastructure setup for these clusters was resource-intensive. Every environment required its own load balancers, DNS configurations, and monitoring agents, leading to substantial duplication. The platform team also faced a heavy workload managing these clusters, further consuming resources and adding to operational costs.

These inefficiencies extended to access management complexities. Teams had to configure multiple AWS Identity and Access Management (IAM) roles and Kubernetes Role-Based Access Control (RBAC) settings for each cluster, which increased the risk of errors and further delayed testing processes.

High Costs from Redundant Infrastructure

The reliance on multiple dedicated clusters resulted in elevated AWS infrastructure costs. Each cluster carried its own set of supporting components, including Application Load Balancers (ALBs) and Route 53 DNS records. These duplications amplified the expenses for what were often temporary and short-lived environments.

Such resource redundancy not only impacted the financial efficiency of Deloittes operations but also limited their ability to scale testing environments effectively. With QA engineers reliant on platform teams for provisioning, the process became a costly bottleneck that hindered independent workflows.

Implementing vCluster for Streamlined Operations

To address these challenges, Deloitte integrated Amazon EKS with vCluster. This approach replaced multiple dedicated clusters with a single Amazon EKS host cluster, which provided the necessary compute and networking resources. vCluster then allowed the creation of lightweight virtual clusters on top of this host infrastructure.

Each virtual cluster acted as an independent Kubernetes environment, enabling QA teams to test application components in isolation without the need for dedicated clusters. This reduced provisioning times significantly, as virtual clusters could be deployed within minutes instead of nearly an hour.

Reducing Costs and Operational Overhead

By consolidating infrastructure, Deloitte eliminated the need for redundant components like multiple load balancers and DNS setups. This not only minimized AWS costs but also reduced the platform teams administrative burden. The lightweight nature of virtual clusters further optimized resource usage.

Moreover, vCluster simplified access management. Since virtual clusters operated within the same Amazon EKS host cluster, fewer IAM roles and RBAC configurations were required. This streamlined approach improved security and reduced the chances of misconfigurations.

Impact on Testing Efficiency and Cost Savings

The new implementation led to an 89% reduction in testing environment provisioning time. QA teams could now deploy virtual clusters in minutes, allowing them to work more independently and complete testing cycles faster. This significantly improved team productivity and project timelines.

From a financial perspective, Deloitte achieved substantial cost savings by avoiding the expenses associated with running multiple dedicated clusters. The solution also enabled better resource utilization, aligning infrastructure usage with actual requirements and minimizing waste.

Overall, combining Amazon EKS with vCluster allowed Deloitte to address both time and cost inefficiencies while empowering their teams to operate more effectively.