Go back to all articles

Synthetic Testing

Mar 28, 2019
3 min read

Synthetic testing is a way to check the IT system’s performance in terms of infrastructure and application performance metrics such as disk reading or writing speed, the speed of memory page communication, and network utilization.

Problems it will solve

  • Optimizing infrastructure costs by choosing the most effective configuration with regard to the user operation and system-scaling opportunities and providing the customer with information about the parameters of server resource loading (CPU, Memory, I/O) and IT system performance.
  • Minimizing the risks related to poor system performance due to the discrepancy between the real configuration performance and the performance specified by the vendor by discovering any performance problems during the synthetic test.

The report on performance testing includes (Deliverables)

  • Information about which hardware infrastructure is the most effective, and also its characteristic features during system scaling or increasing the load with regard to the specifics of the IT system
  • Information about the correspondence of the system performance to the parameters specified by the vendor
  • Load-testing scripts

Scope of work

  • 01
    Creating methodology for synthetic testing
  • Gathering and analysis of utilization statistics of the instrument resources for the production environment
  • Coordinating performance requirements
  • Determining test scenarios
  • Determining the components of synthetic testing
  • Creation of a test plan
  • 02
    Creation of a test model
  • Installing the tools for synthetic testing
  • Creating synthetic testing scenarios
  • Preparing test data
  • Description of the instructions for conducting the test
  • 03
    Test preparation
  • Checking the operability of the test environment
  • Tuning of the monitoring tools
  • Conducting trial tests
  • 04
    Conducting tests
  • Launching the synthetic tests of the system in accordance with the coordinated scenarios
  • 05
    System analysis
  • Analyzing the results of synthetic testing
  • Recommendations for the improvement of the system’s architecture and infrastructure

Tools and licences

  • ioZone
  • ioMeter
  • MS Visual Studio
  • IBM Rational Performance Tester
  • Silk Performer

Related Services:

Table of contents

    Related insights in blog articles

    Explore what we’ve learned from these experiences
    7 min read

    Throughput in JMeter: What Is It & How It Works

    jmeter throughput preview
    Aug 18, 2025

    Key Takeaways Throughput in JMeter defines how quickly a system can handle requests during a test. For performance engineers, it’s one of the core indicators that show whether an application can keep up with real-world demand. In this article, we’ll explore what throughput in JMeter actually measures, how it differs from metrics like concurrent users, […]

    3 min read

    AI in Load Testing: Tools, Capabilities, Limitations, and Future Trends

    ai in load testing preview
    Aug 14, 2025

    Load testing has always been essential for ensuring applications can handle real-world traffic, but the process traditionally demands deep technical expertise, time-intensive setup, and painstaking manual analysis. AI is changing that. By automating scenario creation, optimizing test parameters, and delivering clear, data-driven reports, AI is lowering the barrier to entry and speeding up feedback loops. […]

    4 min read

    Scalability Testing: A Complete Guide

    scalability testing preview
    Aug 11, 2025

    Key Takeaways When your user base grows, your application faces new challenges. Scalability testing in software testing helps you anticipate these moments clearly and confidently. Instead of guessing if your system can keep pace, you’ll know exactly how it behaves under increasing pressure. In this guide, we’ll cover precisely what scalability testing is, why it […]

    4 min read

    JMeter Ramp Up Period Explained

    jmeter ramp up period preview
    Aug 8, 2025

    Key Takeaways The Apache JMeter ramp up period defines how quickly test threads start, shaping the load profile your system experiences. A poorly chosen value can distort results — too fast and you simulate unrealistic spikes, too slow and you never reach steady state.  This guide clarifies what is ramp up period in JMeter, how […]

  • Be the first one to know

    We’ll send you a monthly e-mail with all the useful insights that we will have found and analyzed