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High load systems

Ensure the stability, performance, and maintainability of your IT system under high load.

  • Design and implement a high-capacity and defect-tolerant architecture for your software ecosystem

  • Learn how your software handles increasingly high numbers of users and eliminate performance bottlenecks

  • Monitor your system performance and get comprehensive reports

  • Automate performance testing and engage it on a regular basis

Services for improving system performance

High load system implementation

  • Capacity planning
  • Performance evaluation of the cloud environment
  • Load simulation
  • Improvement recommendations
  • Post-implementation re-evaluation
  • Reporting and visualization

All-around performance testing

  • Load testing
  • High-volume transaction testing
  • Varying stress testing
  • Scalability testing
  • Endurance testing
  • Crash testing
  • End-to-end and custom testing scenarios

End-to-end performance optimization

  • Analysis of performance bottlenecks with improvement recommendations
  • Implementation of best-suited strategies and tech stack for top performance
  • Re-evaluation of system performance

System performance monitoring

  • Visualization of detailed performance statistics via capacity dashboards
  • Client-side statistics like response time, HPS, throughput
  • Server-side statistics like CPU and memory usage, I/O and network usage

Tools for performance testing and monitoring

Performing various load testing operations

  • Jmeter

  • wrk/wrk2

  • k6

  • Gatling

Collecting, aggregating, analyzing, visualizing, and monitoring time series data

  • Grafana

  • InfluxDB

  • Amazon CloudWatch

  • Google Cloud Operations

  • Telegraf

  • New Relic

Custom performance testing solutions

  • Load testing scripts

  • Load emulators

We use many more tools for performance testing and monitoring than those listed above. Contact us to learn what else we have to offer.

Approach to building high load systems

  • System performance audit

    Load testing

    Bottleneck discovery

  • Performance engineering strategy

    List of possible improvements

    Capacity planning

  • System performance optimization

    Infrastructure changes

    Architecture updates

  • System performance re-evaluation

    Regular performance tests and monitoring

    Further system support and upgrades

Build a reliable and high-performing software system

Implement a fault-tolerant architecture built on the principles of security, scalability, and modularity.

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