Analyzes and queries real-time Splunk metrics using advanced SPL commands like mstats and mcatalog.
This skill enables Claude to interact directly with Splunk's metrics store, providing real-time visibility into time-series data. It streamlines the process of discovering metric indexes, listing available metric names, and executing complex mstats or mcatalog queries for performance analysis and monitoring. Ideal for SREs and developers, it simplifies observability by automating the retrieval of aggregated data points across diverse hosts and environments through the Splunk REST API.
주요 기능
01Execute high-performance mstats queries for time-series analysis
02Filter and group metrics by host, index, or custom dimensions
03Discover metric indexes and individual metric names instantly
040 GitHub stars
05Automate complex SPL patterns for data point aggregation
06Analyze metrics catalog structure using mcatalog commands
사용 사례
01Troubleshooting system performance by analyzing CPU or memory metrics over specific time spans
02Automating the generation of performance summaries and data point reports
03Discovering available metrics and indexes within a complex Splunk environment
