Case Studies

How a Leading HR Solutions Provider Achieved 30% Cloud Cost Savings Through SQL Optimization

Discover how GeoPITS helped a top HR tech firm enhance database performance, reduce cloud spending, and achieve faster application response times.

Overview

A well-established HR services company was experiencing rising cloud costs and inconsistent application performance. As their client base grew, the existing infrastructure struggled to scale efficiently - calling for an optimized SQL environment to support long-term stability and cost efficiency.

The Challenge

Their current process did not allow optimal utilization of resources and hence leading to increasing cloud costs every month.

Due to inefficient management of resources the client's application was running slow and causing unexpected downtimes due to application traffic.

Our Solution

Our in-housing monitoring system was deployed on the DB servers to capture the performance baseline for all the queries, SPs and functions. Our system captures granular details about each configuration, queries and SPs.

Based on the recommendations of the audit report, the team started the optimisation process by correcting the required SQL configurations, tuning queries and SPs. Each change was carefully pushed and monitored. Version history of the changes made on the environment was maintained and the impact of each change was captured.

Once optimization process was completed, our DB team continued to monitor and track the SQL Server environment and the queries’ execution time to arrive at the new baselines for all the SPs & queries.

Benefits

Reduced computation cost in cloud by 30%

Payslip download time brought down to 3 seconds from 55 seconds

Server was made stable and scalable which made it well-equipped to handle 300 more organisations' HR resource data in the consecutive year.

Business Impact

Cost Efficiency

Reduced the total cloud computation cost by 30%, hence allowing for sustainable resource utilization.

Faster Operations

Reduced payslip download time from 55 seconds to just 3 seconds, greatly improving end-user satisfaction.

Scalable Infrastructure

Stabilized the server environment to accommodate an additional 300+ organizations during the following year.

Continuous Monitoring

Established an ongoing performance tracking system for proactive issue detection and optimization.

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