Splunk Application Performance Monitoring (APM)
Comprehensive visibility enables modern enterprises to quickly identify and address issues with precision.
How it works
Leverage machine learning to identify threats and detect abnormal behavior effectively.
Never miss an anomaly
Achieve impeccable application performance by ensuring comprehensive observability. Expedite problem resolution by seamlessly transitioning from traces to detailed log data, all interconnected and correlated through Log Observer Connect. This allows you to pinpoint the root cause efficiently.
Full OpenTelemetry support
Splunk prioritizes offering customers maximum choice. By utilizing OpenTelemetry, you can benefit from a robust and active community. Moreover, it allows you to avoid any vendor lock-in. OpenTelemetry is the second most popular CNCF project, following Kubernetes. Instrument your applications once and enjoy the flexibility to use them anywhere.
AI-driven analytics and directed troubleshooting
Effortlessly detect, analyze, and resolve issues using AI-driven troubleshooting that automatically correlates system performance, enabling faster identification of root causes. This results in improved Mean Time to Resolution (MTTR).
Continuous code profiling
AlwaysOn provides continuous analysis of code-level performance, seamlessly integrated with trace data, and with minimal overhead. It enables you to efficiently identify and resolve service bottlenecks. Additionally, you can uncover resource optimization opportunities throughout your entire environment.
Features
Swiftly detect, troubleshoot, and eliminate errors
Efficiently ingest, analyze, and store data in real-time, at any scale. This enables you to detect and troubleshoot issues with significantly improved speed and effectiveness.
NoSample full-fidelity trace ingestion and retention
Splunk Application Performance Monitoring collects all traces, rather than a sampled subset, ensuring that no anomaly goes undetected. This comprehensive approach provides immediate feedback on any release, enhancing the effectiveness of your monitoring and troubleshooting efforts.
Service mapping
Splunk APM generates dynamic service maps. These maps offer DevOps teams ready-to-use visibility into all service interactions, inferred services, dependencies, and performance metrics. This valuable feature enhances the understanding of your system’s architecture and performance for effective troubleshooting and optimization.
Tag spotlight
By swiftly correlating events related to latency or errors with tag values, Splunk APM provides a centralized location. In this location, you can gain a comprehensive understanding of how traces behave across your entire system. This capability enables efficient troubleshooting and analysis of performance issues, allowing you to identify and address them promptly.
Business workflows
With Splunk APM, you can easily group together end-to-end traces. This grouping is based on any common service or tag, allowing you to track important business transactions effectively. This capability enables developers to visualize how their microservices impact various workflows that utilize them. By gaining insights into the performance and behavior of these transactions, developers can optimize their microservices and improve overall system efficiency.
Smart dynamic alerting
With dynamic alerting in place, your DevOps teams can easily configure alerts. These alerts can be based on static thresholds, sudden changes, or historical anomalies. This capability simplifies the alerting process and helps reduce the occurrence of alert storms. By leveraging dynamic alerting, your teams can receive timely notifications about significant events or deviations in system behavior. This enables them to respond promptly and effectively to potential issues or anomalies.
Analysis of code-level performance
Splunk APM’s “Always On” code profiling feature provides in-depth analysis of code-level performance within the context of trace data. This powerful capability allows for the identification and troubleshooting of bottlenecks in both cloud-native and monolithic applications. By analyzing code performance alongside trace data, Splunk APM enables developers and performance engineers to pinpoint areas of improvement. This allows them to optimize application performance for enhanced efficiency and user experience.