SaaS Application Optimisation

MeKosha Solutions was enlisted to assess and optimize a SaaS Application, focusing on server performance, network latency, and database efficiency.

HRMS Optimization Overview
CHALLENGES

The challenges that we solve

  • Infrastructure: CPU usage was stable, but performance peaked at noon; memory footprint needed optimization.
  • Disk Latency: Application server disk latency exceeded acceptable thresholds (11% above 2ms).
  • Network: No bottlenecks, but traffic between application and database could be streamlined.
  • Software: Performance issues due to large datasets, suboptimal SQL queries, and missing Foreign Keys.
  • Security: Data encryption at the database level posed a risk of potential breaches (e.g., MITM attacks).
SOLUTIONS

The solutions we provide

  • Infrastructure Optimization: Enabled memory utilization metrics in Azure for 30 days to monitor and assess server memory usage and swap utilization.
  • Disk and Storage Solutions: MeKosha identified the need for better disk logging to reduce latency and suggested improvements.
  • SQL Optimization: Recommendations included indexing Foreign Keys instead of removing them, which could improve SQL query execution times.
  • Encryption and Data Management: Strengthened encryption at the database level and suggested adding file integrity markers (MD5).
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OUR SERVICES

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  • OPTIMIZED PERFORMANCE

    CPU, memory, and network usage stayed within limits, with improved memory management.

  • REDUCED LATENCY

    Disk latency was resolved, boosting file handling and query performance.

  • FASTER QUERIES

    Indexing and foreign key optimizations sped up SQL query times, improving HRMS responsiveness.

  • ENHANCED SECURITY

    Stronger encryption practices reduced the risk of data breaches.

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MeKosha Solutions enables businesses focus on tackling their business challenges, while we ensure the upkeep , security and integrity of IT infrastructure through real-time data, automation, and analytics supported by the openMDM platform.

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