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Benchmark-driven cloud optimization: Intel’s role in a seamless Azure migration

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A global security services provider was undergoing a strategic migration from on-prem infrastructure to . To ensure a smooth and cost-effective transition, HCLTech collaborated with Intel to identify optimal cloud configurations tailored to the client’s compute requirements.

The Challenges

The client’s existing VM landscape was diverse and lacked visibility into performance metrics, making planning difficult.

  • The client had a diverse set of virtual machines (VMs) with varying workloads and configurations
  • There was a lack of visibility into current CPU platforms and resource utilization, making it difficult to assess consolidation opportunities
  • Some database servers exhibited a 1:1 CPU-to-memory ratio, which is atypical and required further investigation
Challenges

The Objectives

The goal was to ensure a performance-optimized and cost-efficient transition to Microsoft Azure.

  • Identify Azure instances that deliver the best cost per dollar and total cost of ownership (TCO)
  • Map Intel-based VMs to every workload line item
  • Enable performance-driven and cost-driven migration decisions
  • Recommend configurations that support future consolidation and optimization
Objectives
The Objectives

The Solution

HCLTech worked closely with to:

  • Analyze the existing on-prem VM inventory and map each workload to an Intel-based Azure VM
  • Use Intel’s benchmarking data to recommend Azure instances that deliver optimal performance for the client’s specific workloads. This included:
    • Selecting VM series with local storage for database workloads to enhance IOPS and reduce latency
    • Recommending F-series VMs for non-mission-critical SQL workloads with low CPU memory ratios
  • Provide cost comparisons across different models, excluding BYOL and enterprise discounts, to ensure transparency
  • Suggested the use of the Dr.Migrate solution to streamline the migration process
Solution

The Impact

The collaboration enabled a validated, performance-optimized migration path to Azure.

  • The client received a 1:1 line-item recommendation for all the primary and DR workloads
  • Intel’s benchmarking insights ensured that each VM recommendation was performance-validated, leading to better resource utilization and cost efficiency
  • Opportunities for VM consolidation were identified, especially for SQL workloads with unusual CPU memory ratios
  • The groundwork was laid for further optimization once CPU and memory utilization data became available
The Impact