Never miss an anomaly
To deliver a flawless application performance, you need to observe everything. With NoSample™ full-fidelity tracing, Splunk® APM is unique in ingesting and retaining all your trace data to identify any anomaly.
Easily identify, scope and resolve issues with AI-driven troubleshooting that automatically correlates system performance to the find root cause faster and improve MTTR.
By collecting all traces, instead of a sampled subset, Splunk APM leaves no anomaly undetected and provides immediate feedback on any release.
Splunk APM’s dynamically generated service maps provide DevOps teams with out-of-the-box visibility into all service interactions, inferred services, dependencies and performance.
Quickly correlates events in latency or errors with tag values, providing a central location to understand how traces behave across your entire system.
Group together end-to-end traces based on any common service or tag to track important business transactions with Splunk APM. Developers can further visualize how their microservices impact all the workflows that use them.
Dynamic alerting enables your DevOps teams to set alerts based on static thresholds, sudden changes or historical anomalies for easier alerting and fewer alert storms.
Splunk APM’s “Always On” code profiling analyzes code-level performance in context with trace data, helping troubleshoot bottlenecks and optimize performance in cloud-native and monolithic applications.
Splunk captures all the logs, metrics and traces in a way that allows us to understand any event across our platform, so we can ask questions and get answers.
The only full-fidelity, end-to-end visibility solution for end-user experience.
Log analysis across your cloud-native application and cloud environments.
The only real-time, analytics-driven multicloud monitoring solution for all environments.
Go beyond basic uptime and performance monitoring for better digital experiences.
Empower teams by routing alerts to the right people for fast collaboration and issue resolution.