The features that enable performance excellence

NeoLoad AI Chat is a context-aware conversational interface embedded directly in NeoLoad Web. It serves as the unified gateway to agentic workflows, NeoLoad Model Context Protocol (MCP) tools across all areas of the platform, and cross-product workflows connecting Tricentis and third-party MCP-enabled tools. Expert-level performance engineering, driven conversationally.

NeoLoad’s MCP connects to all critical areas of NeoLoad Web, enabling AI-driven control of infrastructure management, scenario configuration, test execution, analysis, reporting, and more through natural language. Accessible directly within NeoLoad via AI Chat or externally through compatible LLMs, MCP extends NeoLoad into cross-platform workflows across your SDLC toolchain.

AI-powered insights embedded directly in NeoLoad Web results views to automatically detect anomalies, identify probable root causes, and surface actionable guidance across RED (Rate, Error, Duration) and virtual user metrics with intelligent interval generation. Augmented Analysis provides the foundational layer supporting NeoLoad’s agentic analysis workflows.

Support front-end and back-end testing with both browser-based and protocol-based approaches from within the same solution and the same interface, reducing the learning curve and increasing the ability to deliver performance results.

RealBrowser is built on modern, efficient technology, consuming roughly 30% fewer memory and CPU resources than legacy browser-based testing tools.

RealBrowser leverages the same user interface and design features NeoLoad customers are accustomed to. This simple no-code/low-code approach with powerful record/play capabilities allows non-experts to quickly design performance scenarios, while still providing performance experts all capabilities and metrics they would expect from a flagship solution.

With RealBrowser, you can now rapidly create performance tests in minutes, and provide meaningful performance test results back to the development team within hours of a build being completed.

Faster design of the painful task of correlating dynamic parameters with:

• Pre-defined rules for the most common frameworks: .Net, JSF, Oracle E-Business, Siebel, and more
• Automatic detection and handling of application-specific parameters

NeoLoad aims to bridge the gap between Dev and QA by enabling DevOps teams to design and run performance tests as code (YAML) with their everyday development tool/IDE or CLI. Test as code and code-less testing let any user harness all the scalability, and test results analysis power, that are solution hallmarks.

NeoLoad provides SOAP/Web Services support with options for REST and WSDL API testing. NeoLoad enables you to easily import Swagger/OpenAPI file or URL to quickly get a NeoLoad performance test scenario that matches the API definitions.

Convert existing functional test scripts to performance test scripts to accelerate performance test design and maintenance. NeoLoad converts Tricentis Tosca and Selenium functional tests into performance test scripts.

Quickly update a test script with a new recording and automatically keep variable extractors, think times, SLAs, loops, JavaScript, validations, and more from the original design. Merely follow the Script Update wizard to guide you through matching up the transactions between the new recording and old recording, check that everything is merging, adding, or deleting correctly, and NeoLoad handles the rest.

Test earlier in the application lifecycle by testing at the API level.

• SOAP / REST support
• Assisted design with Swagger/Open API import and highly efficient extractors for fast test design and fewer errors in scripting
• The API test cases can be created from NeoLoad GUI for the best efficiency, or from a YAML descriptor, to ease the collaboration and allow a simple text file edition
• Test standalone APIs or APIs within end-to-end tests. Same solution, same skills
• Devs, QA, PO, Ops share a common view of API performance

NeoLoad supports both graphical and code-based approaches to performance engineering: create, define settings, and run performance tests as code using a YAML-based description format which is human readable, implementation agnostic, and domain specific to load testing. It’s great for developers, performance engineers, and business experts to collaborate on SLOs (Service Level Objectives), environment details such as service endpoint details, and load testing details such as ramp-up semantics.

Overriding a NeoLoad Project: NeoLoad provides the unique capability to override a GUI-based Project with a YAML text file so that it’s easy to set any environment contextual settings in an automated process.

100% YAML-based projects: An alternative is to create a 100% YAML-based project to define your API test.

NeoLoad supports Jenkins Pipeline as Code.

NeoLoad supports the monitoring of a broad range of infrastructure technologies including operating systems, application servers, web servers, databases, and network devices. See more technologies.

Integrate with JMeter and Gatling

Make better use of early development performance tests from tools like JMeter and Gatling by ingesting and centralizing all executed test results in NeoLoad and leveraging NeoLoad’s substantially more robust analysis capabilities.

Integrate with Dynatrace, AppDynamics, New Relic, and Datadog

Collect performance metrics at the application components level to dive deeper into the performance load test analysis. Combining information obtained from performance testing (NeoLoad) with in-depth metrics from an application performance management tool helps accelerate the identification of root cause in highly complex applications.

Automatic pass/fail performance SLA validation enables you validate every build.

AI-powered insights embedded directly in NeoLoad Web results views to automatically detect anomalies, identify probable root causes, and surface actionable guidance across RED (Rate, Error, Duration) and virtual user metrics with intelligent interval generation. Augmented Analysis provides the foundational layer supporting NeoLoad’s agentic analysis workflows.

Controller and LoadGenerator Docker images are provided on DockerHub to ease the deployment of NeoLoad in a Docker-based environment.

NeoLoad natively interacts with container orchestrators such as Kubernetes, OpenShift, Microsoft AKS, Amazon EKS, and Google GKE to provision and use load testing infrastructure automatically, on demand. Controllers and load generators are spun up for the duration of the test and released once the test is finished. No need to write lengthy scripts to provision machines, manually connect dynamic testing resources to CI pipelines, or manually change the number of load generators used for a test.

Reserve load testing infrastructure (i.e., controllers and load generators) and virtual users by date and duration to guarantee resources are dedicated for application performance testing for a specific team or team member and avoid testing schedule conflicts among the teams.

Manage and share test versions in Git or SVN. NeoLoad provides native integration for both standards to improve collaboration using the same corporate shared tools.

For the most real-world simulated mobile and web applications tests, NeoLoad emulates users accessing the server with varying bandwidths, latency, and packet loss with preconfigured values for varying signal strengths of 3G, 4G, WiFi, and more.