Dynatrace integration enhancements: Configuring and validating the initial Dynatrace integration is now easier, also with enhanced security features.Plus, now access, sort and filter all your dashboards from a single page. Real-time reporting collaboration: Share a dynamic link to any report so anyone can review the most up-to-date results.Automatic license leasing at runtime: NeoLoad automatically leases your license at the beginning of each test, simplifying the execution of everyday use cases.Now you can easily export test results data in structured format (.csv, JSON, simple HTML) directly from the Python CLI, allowing you to simplify interfacing with other systems or specific data processing in your pipelines.The Dynatrace integration has been enhanced with some targeted updates for improved user experience and simplified configuration, with some new security features.You can now share your dashboard with colleagues, stakeholders and clients through a public URL to ensure that everyone always has the most up-to-date report and now every one of your dashboards can be viewed and accessed from a single page.(Though if you have multiple licenses, it’s a simple click to keep managing licenses manually as you do today.) The license leasing at runtime is now much easier for everyday use cases - NeoLoad manages the lease/release process for you automatically.This allows you to ease the process of evaluating the baseline performance of your system with the current configuration, and easily explore new optimization areas.The release of Tricentis NeoLoad 7.9 introduces automatic license lease management, greater real-time reporting collaboration, simplified Dynatrace integration configuration, and export of test results data in structured format from the Python CLI and more. In this release, we added the ability to have a finer control on which parameters are used during baseline experiments and during the automated optimization process. More control on parametersĪ core feature of Akamas is the ability to optimize configuration parameters for any technology. You can now inspect the details of all the data sources used by Akamas to gather metrics about your system. In this release, we added the ability to see telemetry instances for each system. We constantly enhance our UI to provide the best experience to our users. You can also see logs produced by each task of the workflow in order to identify issues in the workflow configuration and resolve them quickly. You can now see your workflow status as they run in order to monitor the execution of a trial and promptly identify errors. Usability and Optimization Improvements See your workflows in action As the Akamas AI engine optimizes the system, the integration pushes configuration changes back to Dynatrace, allowing you to keep track of what has been changed between experiments and provide further information to Davis, Dynatrace problem detection engine. The native, API-based integration allows you to specify which services, hosts or processes are being optimized and use their metrics to define Akamas optimization goals, or analyze detailed over-time metrics within the Akamas UI. With this new feature, Dynatrace users can leverage the OneAgent full-stack visibility as a telemetry data source for Akamas optimizations. The release also includes new features aimed at improving usability and control over Akamas optimizations, as well as various bug fixes. Thanks to these new exciting capabilities, Dynatrace and NeoLoad users can now easily integrate Akamas in their existing environments and enjoy the new, AI-driven performance optimization world. This version features native integrations with two market-leading solutions in the application performance monitoring and performance testing space: Dynatrace and NeoLoad.
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