Splunk Metrics

Splunk Metrics is a component of the Splunk platform designed for collecting, storing, and analyzing metric data, such as system performance metrics, application metrics, and business KPIs. It provides specialized data models, visualizations, and querying capabilities optimized for time-series numeric data, enabling real-time monitoring and historical trend analysis. This allows organizations to gain insights into operational health, performance bottlenecks, and resource utilization across their IT infrastructure and applications.

Also known as: Splunk Metrics and Logs, Splunk Observability, Splunk IT Service Intelligence (ITSI) metrics, Splunk APM metrics, Splunk Infrastructure Monitoring

Why learn Splunk Metrics?

Developers should learn Splunk Metrics when working in environments that require robust monitoring, observability, and performance analysis, such as DevOps, SRE (Site Reliability Engineering), or large-scale application deployments. It is particularly useful for tracking metrics like CPU usage, memory consumption, request latency, and error rates, helping to identify issues, optimize systems, and ensure service reliability. Use cases include infrastructure monitoring, application performance management (APM), and business intelligence dashboards for operational metrics.

Learning Resources

• docs: Splunk Metrics Documentation
• tutorial: Splunk Metrics Tutorial on Splunk Education
• video: Introduction to Splunk Metrics on YouTube
• course: Splunk Fundamentals Course on Coursera