A well-established HR services company partnered with Geopits to address rising cloud costs and inconsistent application performance. As its client base expanded, the existing infrastructure faced challenges scaling efficiently, necessitating an optimized SQL environment designed for long-term stability and cost efficiency.

Business Challenges

The company's inefficient resource utilization led to rising cloud costs, increasing expenses every month.

Inefficient resource management

Poor resource management slowed down the application and caused unexpected downtime.

Downtime during peak traffic

Unexpected downtime occurred during periods of high traffic, when reliability mattered most.

Scaling client growth

As the client base expanded, the existing infrastructure faced challenges in scaling efficiently.

Project Objectives

Geopits partnered with the HR solutions provider to build an optimized SQL environment for long-term stability and cost efficiency.

Key Goals:

Reduce cloud computation costs without sacrificing performance
Eliminate downtime during high-traffic periods
Establish ongoing visibility into database performance

Solution Provided by Geopits

Geopits deployed an in-house monitoring system, powered by GeoOps, on the client's DB servers to capture performance baselines for all queries, stored procedures, and functions, gathering granular detail on configurations and execution.

Full audit and tuning

A full audit informed corrections to SQL configurations and tuning of queries and stored procedures.

Controlled rollout

Each change was pushed and monitored carefully, with version history maintained to track its impact.

Post-optimization monitoring

The SQL Server environment continued to be monitored after optimization, establishing new performance baselines for all queries and procedures.

Performance baselines

Granular baselines across queries, stored procedures, and functions gave the team a clear before-and-after view of impact.

Results & Business Impact

The optimization efforts reduced cloud spending, accelerated daily operations, and provided the team with lasting visibility into performance.

Capabilities

Before

After

Cloud costs

Rising monthly, inefficient utilization

30% lower, more sustainable utilization

Pay slip download time

55 seconds

3 seconds

Scalability

Strained under client growth

Stabilized to onboard 300+ new organizations

Monitoring

Ad hoc, reactive

Continuous, baseline-driven

Key outcomes

Cost efficiency

Cloud computation costs were reduced by 30%, enabling more sustainable resource utilization.

Faster operations

Pay slip download time was reduced from 55 seconds to 3 seconds, significantly improving end-user satisfaction.

Scalable infrastructure

The server environment was stabilized to support 300+ additional client organizations, ensuring future growth.

Continuous monitoring

An ongoing performance tracking system was established for proactive issue detection, optimization, and long-term stability.

Conclusion

Geopits partnered with the HR solutions provider to optimize its SQL environment, reducing cloud costs by 30% and cutting pay slip download time from 55 seconds to 3 seconds, while establishing lasting visibility into performance.

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