Analyze log data by performing aggregations, calculating metrics (count, avg, sum), and grouping by fields. Extract insights and statistical summaries to understand patterns in log data efficiently.
Create log parsing rules from queries or sample logs to extract structured data from New Relic log messages, generating GROK patterns and NRQL patterns for analysis.
Extract error patterns and insights from log content to identify issues and categorize errors for SRE observability on Konflux and OpenShift platforms.
Extract and follow trace IDs across log entries to visualize request flows through your system. Automatically detects correlation IDs and groups related logs for debugging.
An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.
The MCP server offers the function of extracting images from local files and urls and converting them to base64 format, which is suitable for LLM analysis.