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system under test), such as:Īn observability platform adds to your analysis capabilities. Most of the tools can also extract information from the SUT (i.e. For example, the integration with observability platforms gives you the ability to massively expand your understanding of what is happening when a certain load is injected into the system and what are the main issues.Īll performance testing tools return the basic metrics you can expect, such as response time, throughput, error rate, and so on. Micro Focus LoadRunner can still be integrated with CI/CD, but you need to allocate some extra time on the setup phase and the analysis part.ĭepending on the coverage required from the testing practice, the integration with external tools can be a crucial point in tool selection. That can be done also at each commit, to address promptly any issues that could have a greater impact down the line.Īt the time of writing, JMeter, Tricentis Neoload, k6, and Gatling are the best choices when it comes to ease of setup, if you have to prioritize CI/CD readiness. It is then critical to know whether a tool can support automation to enable you to create a testing process of core components separately, in the early development stages. The integration with such tools leads to building and delivering a streamlined process and an optimal end result.

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This is a core feature since it’s required to effectively address the modern software development lifecycle and new paradigms like continuous integration and DevOps. Modern performance testing platforms have been natively designed to be integrated with continuous integration and delivery (CI/CD), while older ones are evolving to fill this gap. Citrix, SAP), relying on a tool like Tricentis NeoLoad or Micro Focus LoadRunner is a better bet. If there are complex app navigational paths composed of a lot of passages between different pages or non-HTTP protocols (e.g.

If we need to only test API requests, then an open-source solution such as JMeter can be more than adequate. In addition to that, there are important differences depending on the target application.

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HTTP/S scripting requires a lot of manual work, if not assisted by some sort of autocorrelation engine, which is typically provided by enterprise-grade platforms. What really makes the difference is the ability of the platform to support and automate testing script generation. HTTP/S protocol is the most widely used and the one that is supported by the widest range of tools and platforms. Some of the performance testing tools focus more on straight HTTP/S protocol, while others are certified on specific ones such as SAP. HTTP, SAP, GUI, Citrix, etc.), there are different options on the market. Depending on the protocols that are going to be tested (e.g.

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