Distributed tracing
From browser and mobile apps to databases and individual lines of code, FusionReactor Application Performance Monitoring (APM) provides end-to-end distributed tracing. Using FusionReactor APM, you can monitor service dependencies and health metrics, reduce latency, and eliminate user errors by seamlessly correlating distributed traces with frontend and backend data.
- Identify performance bottlenecks: Distributed tracing allows you to track the entire path of a request as it flows through multiple services. This makes it easier to identify performance bottlenecks and improve the overall response time of your application
- Debugging and Troubleshooting: Distributed tracing provides detailed information about the behavior of your application at a request level. This allows you to identify and troubleshoot issues impacting your users quickly
- Insight into Service Dependencies: Distributed tracing provides insight into how your services depend on each other. This can help you understand how changes to one service might impact the rest of the system
- Enables Microservices Architecture: Distributed tracing is a key component of a microservices architecture, allowing developers to manage complex and distributed systems more efficiently
- Better Monitoring and Alerting: Distributed tracing provides a comprehensive view of your application’s behavior, which can be used to set up better monitoring and alerting. This helps you detect issues before they impact your users.
Gain unparalleled visibility into the behavior of your distributed applications
By combining OpenTelemetry and FusionReactor, developers can gain unparalleled visibility into the behavior of their distributed applications. The OpenTelemetry libraries make it easy to instrument code for distributed tracing, while FusionReactor provides full-stack observability for monitoring and troubleshooting your entire system. Together, these tools can help developers identify issues, optimize performance, and improve the overall user experience of their applications.
End-to-end application performance monitoring
- Monitor requests from services, serverless functions to databases
- Automated propagation of trace_ids allows you to view traces and logs in context
- Distributed traces can be connected to infrastructure metrics, network calls, and live processes
- Identify backend errors in API load tests and browser tests
Performance monitoring for any stack, anywhere
- Automatically instrument any application on any host, container, serverless function, or platform
- Integrate hundreds of third-party frameworks or libraries for unparalleled visibility into Java, .NET, PHP, Node.js, Ruby, Python, Go, or C++ code with more coming
- With OpenTelemetry, you can access vendor-neutral support
Identify root causes instantly with code-level insights
- With always-on, low-overhead code profiling, you can optimize your production code and save on compute costs
- Slow requests can be broken down by time spent in code on CPU, GC, lock contention, and I/O to reduce service latency
- Analyze performance regressions caused by inefficient code using any timeframe and tag
- Identify bottlenecks in your code by monitoring profile aggregations of services and endpoints
Gain unparalleled visibility into the behavior of your distributed applications
By combining OpenTelemetry and FusionReactor, developers can gain unparalleled visibility into the behavior of their distributed applications. The OpenTelemetry libraries make it easy to instrument code for distributed tracing, while FusionReactor provides full-stack observability for monitoring and troubleshooting your entire system. Together, these tools can help developers identify issues, optimize performance, and improve the overall user experience of their applications.