IBM Turbonomic is excited to announce expanded support for .NET applications with our integration of leading Application Performance Monitoring (APM) tools, including Dynatrace, Datadog, AppDynamics, and New Relic.

What’s New?

With this enhancement, users can now discover their .NET applications as Application Components within IBM Turbonomic and view key metrics under the Capacity and Usage widget—all sourced from their preferred APM solution.

(Supported metrics may vary depending on APM capabilities.)

Why Is This Important?

Enhanced Application Visibility

• Users can identify .NET applications as Application Components in the supply chain view, offering end-to-end visibility into how they consume infrastructure resources.
• Viewing metrics helps users detect resource bottlenecks before they impact performance.

Intelligent Resource Optimization

IBM Turbonomic uses the collected metrics to generate actions that help right-size resources. By analyzing metrics, IBM Turbonomic can recommend actions like resizing VM/Container up or down, supporting Container horizontal scaling, and more actions to come in the future.

Data-Driven Decision Making

Visibility into vMem, vCPU, and heap metrics empowers operations teams to make informed decisions rather than reacting to issues after they occur. IBM Turbonomic’s action recommendations are continuously updated based on real-time data, ensuring decisions stay relevant.

How It Works

Data Collection

• Additional metric paths are added to existing API calls sent by IBM Turbonomic’s APM probe to retrieve metrics information.
• The request uses the REST APIs of Dynatrace, Datadog, AppDynamics, or New Relic to collect relevant metrics.
• The response is parsed by IBM Turbonomic’s APM probe, then sent to the UI for display.

Benefits of the Integration

Improved Observability: Direct access to APM metrics from IBM Turbonomic’s UI.
Vendor Flexibility: Providing support for .NET applications discovered from a variety of APM platforms, offering more flexibility.
Optimized Resource Management: Make data-driven scaling and allocation decisions based on live performance insights.

Conclusion

This integration expands IBM Turbonomic’s observability and optimization capabilities, empowering teams to make better decisions on a more granular level and proactively manage their infrastructure with the help of their preferred APM tools.