Microservices APM implements a unique NoSample™ architecture that captures all anomalous traces, giving complete visibility into applications and services.
With Outlier Analyzer™, Microservices APM simplifies the troubleshooting process by automatically pinpointing anomalous traces and generating service maps.
By deriving metrics from spans, Microservices APM can expose which transaction spans deviated from the norm while showing correlation to code and infrastructure.
Microservices APM supports instrumentation across dozens of open-source libraries, with auto-instrumentation for common programming languages.
If you’re running your microservices on Kubernetes, then you can appreciate how challenging monitoring your environment can be. We wrote this eBook to dive into these challenges and provide insights and best practices for your monitoring approach.
SignalFx Microservices APM has become the defacto answer for our product teams. They get a complete picture of where performance bottlenecks exist, which would be impossible to identify with metrics or logs alone.Trevor RundellDirector of Engineering
Monitoring is absolutely critical for us. To provide a high quality service for our customers, we need to see the performance and utilization of resources around the world at all times.John RousseauDirector of Technical Operations
“Distributed tracing is regarded as an increasingly important tool in complex microservices environments, but it can be challenging to instrument for. We believe that open source components like OpenTracing, OpenCensus, Zipkin, Jaeger, and service-mesh will help solve some of these challenges.”Nancy GohringSenior Analyst
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