MSSQL database optimization for a leading financial institution in Ireland

The collaboration focused on driving performance improvements and cost efficiencies through Intel’s cloud-optimized solutions, without requiring immediate hardware investments.
5 min read
Share
5 min read
Share

Overview

A major financial institution partnered with HCLTech to address performance challenges in its MSSQL database environment. 

The collaboration focused on driving performance improvements and cost efficiencies through , without requiring immediate hardware investments.

The Challenge

The client faced ongoing issues related to aging infrastructure and MSSQL performance, which were impacting business-critical workloads. Their key concerns included:

inner-image
  • Performance bottlenecks: MSSQL databases were underperforming due to outdated infrastructure
  • High TCO: The client wanted to enhance performance without incurring large-scale hardware upgrade costs
  • Manual optimization: The absence of automation made performance tuning time-consuming and inconsistent
  • Scalability concerns: Increasing operational demands made it challenging to maintain consistent database performance

The Objective

The partnership aimed to:

  • Improve MSSQL database performance without additional hardware investment
  • Reduce overall infrastructure costs through efficient tuning and workload segmentation
  • Leverage Intel’s optimization tools to enhance CPU utilization and IOPS
  • Provide strategic recommendations for future scalability and cloud adoption

 

inner-image

The Solution

HCLTech implemented a multi-step strategy focused on optimization and long-term value creation:

inner-image
  1. Workload segmentation: A detailed assessment was conducted to segment MSSQL workloads based on intensity, resource utilization and performance requirements. This allowed targeted tuning across workload categories
  2. Intel optimized cloud recipes: Preconfigured templates tailored for MSSQL optimization were deployed into the client's infrastructure. These cloud recipes provided performance improvements through software-level configuration changes, eliminating the need for immediate hardware upgrades
  3. Performance benchmarking: Benchmarked key performance indicators—such as transactions per minute (TPM) and new orders per minute (NOPM)—to validate the impact of the optimizations
  4. Recommendations for further optimization: Provided forward-looking suggestions including:
    • Increasing IOPS thresholds for high-performance workloads
    • Considering migration to Intel® Xeon® 5th Gen EMR (64 cores/socket)
    • Evaluating Intel-optimized cloud recipes for MSSQL on Cloud Database/RDS
cloude

The Impact

  • Performance improvement: The client achieved up to 17% increase in MSSQL performance without any hardware upgrades. Optimized CPU usage and improved IOPS contributed to higher system responsiveness and stability
  • Cost savings: The client avoided near-term capital expenditure by using Intel’s optimization recipes, achieving better performance within their existing infrastructure footprint
  • Strategic alignment and future readiness: Encouraged by the results, the client extended its collaboration with Intel for ongoing performance optimization and planning for future migration to cloud-native architectures
inner-image