Gatling Integrations

Grafana Labs provides an open and composable observability stack built around Grafana, the leading open source technology for dashboards and visualization. Recognized as a 2025 Gartner® Magic Quadrant™ Leader for Observability Platforms and positioned furthest to the right for Completeness of Vision, Grafana Labs supports over 25M users and 5,000+ customers. Grafana Cloud is Grafana Labs’ fully managed observability platform designed for scale, intelligence, and efficiency. Built on the open-source LGTM Stack—Loki for logs, Grafana for visualization, Tempo for traces, and Mimir for metrics—it delivers a complete, composable observability experience without operational overhead. Grafana Cloud leverages machine learning and intelligent data management to help teams optimize performance and control costs. Features like Adaptive Metrics and cardinality management automatically aggregate high-volume telemetry data for precision insights at a fraction of the cost. With AI-driven alerting and incident correlation, teams can detect anomalies faster, reduce alert fatigue, and focus on what matters most—system reliability and user experience. Grafana Cloud supports OLAP-style analysis through integrations with analytical databases and data warehouses, allowing teams to visualize and correlate multi-dimensional datasets alongside observability data. Seamlessly integrated with OpenTelemetry and hundreds of data sources, Grafana Cloud provides a single pane of glass for monitoring applications, infrastructure, and digital experiences across hybrid and multi-cloud environments. Backed by Grafana Labs’ global expertise and trusted by 5,000+ customers, it empowers organizations to achieve observability at scale—open, intelligent, and future-ready.

Postman is a collaborative platform tailored for API development, aimed at streamlining the process of creating APIs while promoting teamwork, which leads to the quick production of high-quality APIs. Its various features support every stage of API development, thereby enhancing collaboration and expediting the process of building superior APIs. Users have the ability to rapidly and easily send requests for REST, SOAP, and GraphQL APIs right within Postman, which optimizes their workflow significantly. Moreover, it offers the capability to automate manual testing, integrating these tests into your CI/CD pipeline to prevent potential issues when new code is deployed. The platform also enables effective communication regarding API behavior by allowing users to simulate endpoints and their responses without needing a backend server. Additionally, you can create and publish visually appealing, machine-readable documentation, making your API more user-friendly and accessible. Regular monitoring of performance and response times keeps you updated on the health of your API, allowing for proactive management. Furthermore, Postman encourages a shared environment for both the creation and consumption of APIs, fostering real-time collaboration among team members, which can lead to more innovative solutions. This combination of features not only enhances productivity but also helps teams work more cohesively towards developing robust APIs. Postman’s AI Agent Builder is a comprehensive tool that accelerates the creation, testing, and deployment of AI agents by providing easy integration with APIs and LLMs. It allows users to quickly turn APIs into agent-ready tools, test LLMs’ performance and costs, and compare responses to choose the best model. The no-code platform features a visual canvas that lets developers design and configure agent workflows with ease.

The Dynatrace software intelligence platform transforms organizational operations by delivering a distinctive blend of observability, automation, and intelligence within one cohesive system. Transition from complex toolsets to a streamlined platform that boosts automation throughout your agile multicloud environments while promoting collaboration among diverse teams. This platform creates an environment where business, development, and operations work in harmony, featuring a wide range of customized use cases consolidated in one space. It allows for proficient management and integration of even the most complex multicloud environments, ensuring flawless compatibility with all major cloud platforms and technologies. Acquire a comprehensive view of your ecosystem that includes metrics, logs, and traces, further enhanced by an intricate topological model that covers distributed tracing, code-level insights, entity relationships, and user experience data, all provided in a contextual framework. By incorporating Dynatrace’s open API into your existing infrastructure, you can optimize automation across every facet, from development and deployment to cloud operations and business processes, which ultimately fosters greater efficiency and innovation. This unified strategy not only eases management but also catalyzes tangible enhancements in performance and responsiveness across the organization, paving the way for sustained growth and adaptability in an ever-evolving digital landscape. With such capabilities, organizations can position themselves to respond proactively to challenges and seize new opportunities swiftly.

Jenkins, a leading open-source automation server, features a vast array of plugins that streamline the processes of building, deploying, and automating projects. Its flexibility enables Jenkins to serve not just as a basic continuous integration (CI) server but also as a robust continuous delivery platform suited for a variety of projects. This independent, Java-powered application is ready for immediate use, with installation options for Windows, Linux, macOS, and various Unix-like systems. Setting up Jenkins is made simple through its user-friendly web interface, which includes real-time error detection and built-in guidance. With countless plugins available in the Update Center, Jenkins integrates effortlessly with nearly every tool in the continuous integration and delivery ecosystem. The architecture of these plugins allows for substantial growth, providing nearly infinite possibilities for augmenting Jenkins’s capabilities. Furthermore, Jenkins can effectively distribute tasks across several machines, which significantly speeds up the processes of building, testing, and deploying in diverse environments, ultimately enhancing productivity. This remarkable adaptability positions Jenkins as an essential component in contemporary software development workflows, making it a favored choice among developers. Its ongoing evolution ensures that Jenkins remains relevant and powerful in meeting the ever-changing needs of software projects.

Bamboo offers outstanding support for the "delivery" aspect of continuous delivery. By automating the repetitive tasks linked to deploying across different environments, its deployment projects facilitate a smoother release process, while also allowing you to oversee the entire operation with permissions tailored to each environment. This capability not only boosts efficiency but also provides greater control over the deployment process, making it a valuable tool for developers. Furthermore, the ability to customize deployment settings enhances the overall effectiveness of the workflow.

vStellar is a next-generation test automation framework that brings speed, accuracy, and scalability to software quality assurance through an intuitive low-code environment. It combines UI, API, and mobile testing capabilities under one roof, allowing QA teams to manage the full testing lifecycle—from creation to reporting—without switching tools. Designed for both developers and non-technical users, vStellar offers a plugin for IntelliJ IDEA that enables test case design, execution, and analysis directly within the IDE. Its parallel execution engine ensures faster results, while integrations with CI/CD systems, version control platforms, and third-party services streamline workflows across teams. With built-in cross-browser, performance, and accessibility testing, vStellar empowers teams to validate every layer of an application efficiently. Detailed dashboards provide deep insights into test coverage, success rates, and performance metrics. The platform supports automated reporting and real-time collaboration, helping QA teams catch issues early and release confidently. Trusted by technology leaders worldwide, vStellar has earned praise for its rapid setup, minimal maintenance, and exceptional adaptability. Its cloud-based architecture ensures smooth scaling as projects grow, maintaining consistency across test environments. Whether you’re modernizing legacy systems or building cutting-edge apps, vStellar gives you the power to test smarter and deliver faster.

Experience a cohesive testing journey that encompasses diverse test categories. With our platform, you can apply the same testing scripts whether you're evaluating a web application across a variety of browsers, operating systems, and devices, verifying your APIs' functionality, or performing comprehensive load testing. Our enterprise-ready SaaS solution, provided by Testable and hosted in the cloud, allows you to run tests either in the cloud environment or on-premises using your favorite open-source tools, all while we take care of the test execution, offer real-time reporting, conduct in-depth analysis, and ensure secure cloud storage. Moreover, you can opt to deploy our testing platform on your own infrastructure, safely shielded behind your firewall. With advanced, scalable, and adaptable packaging options—including a user-friendly one-click Kubernetes Helm package—you can conduct functional tests across multiple browsers, operating systems, and devices simultaneously. In addition, you will receive a real-time report featuring live interactive sessions, videos for every virtual user, screenshots, assertions, performance metrics, trend analysis, and a plethora of other insights aimed at refining your testing approach. This all-encompassing strategy guarantees that you possess all the essential tools to elevate your testing initiatives efficiently, ultimately leading to improved software quality.

Optimize your performance testing, analysis, and reporting workflows to remove the monotonous tasks that developers find unappealing. This optimization allows you to maintain product quality while reducing mental fatigue among your development team, which is crucial in agile settings. Designed to support multiple teams navigating complex agile methodologies, this solution enables efficient performance management even with a smaller number of performance engineers. It encourages a uniform approach to performance testing across the organization, ensuring consistency and reliability. Furthermore, it allows for the exchange of performance testing knowledge among any team involved in any project at any time, thereby embedding performance testing in the developer culture and improving the overall quality of websites and services. Perfana equips teams to evaluate their software's performance not just before production but also with every new build, making the process simple and effective. Our plugin integrates effortlessly with popular CI servers, allowing all teams to validate performance with each build or release, thus reinforcing a continuous focus on quality throughout the development lifecycle. This all-encompassing strategy not only boosts productivity but also cultivates an environment of collaboration and ongoing enhancement, leading to better outcomes for all projects involved. As a result, teams are better equipped to react swiftly to performance issues, ensuring that the final product exceeds expectations.

Gatling Studio is a desktop application that effectively converts real user interactions from web browsers into actionable load tests, utilizing the robust Gatling engine in a Java/Maven project format in just minutes. Users can either record a live browsing session or import a previously captured HAR file, with the software intelligently filtering out non-essential elements such as static content, ads, and external trackers, while permitting customization of user flows based on domain or request type. This streamlined approach results in the automatic generation of production-ready Gatling code, which can be version-controlled and refined as necessary. Once the project is created, users can open it in an Integrated Development Environment (IDE), commit changes to source control, and customize it with injection profiles or parameterization, thus enabling local execution with Gatling Community Edition or scaling operations with Gatling Enterprise Edition. The application supports Windows, macOS, and Linux platforms and integrates seamlessly with Chromium-based browsers, making it a valuable tool for performance engineers, QA teams, and developers aiming to simplify test creation while following comprehensive “test-as-code” practices. With its intuitive interface and powerful features, Gatling Studio significantly boosts the overall efficiency and effectiveness of load testing workflows, ensuring that teams can deliver high-quality applications faster than ever before.

Klaros-Testmanagement is a highly regarded testing tool from Germany, developed since 2009 and utilized by teams of all sizes globally to organize and carry out their testing efforts effectively. Its functionality encompasses every facet of the testing process, including planning, creation, execution, assignment, evaluation, reporting, and overall test assessment. Furthermore, Klaros-Testmanagement provides interoperability with various tools like JIRA, Redmine, and GitLab, facilitating connections to requirement and defect management systems, as well as continuous integration and test automation frameworks. These integrations can also support performance analysis through tools such as Selenium and JUnit, enhancing the overall testing experience. The software is offered in two distinct versions: a Community Edition and an Enterprise Edition, both of which come with extensive support and can be deployed on either a server or through cloud services, catering to diverse user needs. This flexibility allows organizations to choose the deployment method that best suits their operational requirements.

Gradle, Inc. offers the Gradle Build Tool alongside Develocity, previously known as Gradle Enterprise, both of which enhance the efficiency and troubleshooting of builds, tests, and various tasks across platforms like Maven, Gradle, Bazel, and sbt. The Gradle Build Tool stands out as the leading choice for constructing open-source JVM projects on GitHub, boasting over 30 million downloads monthly, and earning a spot in TechCrunch's Top 20 Most Popular Open Source Projects; notably, many renowned projects, including Spring Boot, have transitioned from Maven to Gradle. Develocity uniquely merges the acceleration of software build performance with comprehensive analytics, making it a preferred solution for elite software development firms globally, enabling them to cut build times by 50% and reclaim an entire week of lost developer productivity. Additionally, the incorporation of acceleration technologies significantly accelerates the processes of software development and testing, while data analytics features like Failure Analytics Trends & Insights streamline the troubleshooting process, allowing teams to focus more on innovation.

Solutions for synthetic test data in enterprises are crucial for ensuring that the test data mirrors the architecture of your database or application accurately. This necessitates that you can easily design and maintain your projects effectively. It's important to uphold the referential integrity of various relationships, such as parent, child, and sibling relations, across different data domains within a single application database or even across various databases used by multiple applications. Moreover, maintaining consistency and integrity of synthetic attributes across diverse applications, data sources, and targets is vital. For instance, a customer's name should consistently correspond to the same customer ID across numerous simulated transactions generated in real-time. Customers must be able to swiftly and accurately construct their data models for testing projects. GenRocket provides ten distinct methods for establishing your data model, including XTS, DDL, Scratchpad, Presets, XSD, CSV, YAML, JSON, Spark Schema, and Salesforce, ensuring flexibility and adaptability in data management processes. These various methods empower users to choose the best fit for their specific testing needs and project requirements.

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