Introducing
SignalFx Microservices APM™

See all application traces. Pinpoint all issues. Instantly find the root cause.

Introducing
SignalFx Microservices APM™

SignalFx revolutionizes troubleshooting with the first APM solution that combines NoSample™ tail-based distributed tracing with streaming analytics.

We are excited to introduce SignalFx Microservices APM™
The newest component of the SignalFx platform for monitoring of microservices-based applications.

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What’s New With Microservices APM

Get a deep dive on the product features & capabilities

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ANALYZE EVERY TRANSACTION
FOCUS ON THE ONES THAT MATTERS MOST

Microservices APM implements a unique NoSample™ architecture that captures all anomalous traces, giving complete visibility into applications and services.

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QUICKLY FIND THE ROOT CAUSE
WITH DIRECTED TROUBLESHOOTING

With Outlier Analyzer™, Microservices APM simplifies the troubleshooting process by automatically pinpointing anomalous traces and generating service maps.

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OPTIMIZE YOUR CODE FOR
THE BEST PERFORMANCE

By deriving metrics from spans, Microservices APM can expose which transaction spans deviated from the norm while showing correlation to code and infrastructure.

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FLEXIBLE, OPEN
INSTRUMENTATION

Microservices APM supports instrumentation across dozens of open-source libraries, with auto-instrumentation for common programming languages.

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Hear from our customers

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

APM from legacy vendors doesn't meet the new requirements. Here's why:

Routinely misses trace data when troubleshooting edge cases and intermittent issues.

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Does not account for service dependencies leading to alert storms.

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Uses a heavy-weight agent approach that doesn’t scale in containerized environments.

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Leads to finding the needle-in-the-haystack scenarios and higher MTTR.

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See it in action

Request a free trial of the only real-time cloud monitoring platform with streaming analytics and NoSample™ tail-based distributed tracing.