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Apache Spark History Server
Enables AI agents to analyze job performance, identify bottlenecks, and provide intelligent insights from Apache Spark History Server data.
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This software transforms Apache Spark infrastructure monitoring by enabling AI agents to interact directly with your Spark History Server. It acts as a Model Context Protocol (MCP) server, bridging AI agents with your existing Spark data to facilitate intelligent job analysis, performance monitoring, and detailed insights. Users can leverage natural language queries to analyze performance metrics, compare jobs, investigate failures, and generate comprehensive reports from historical execution data, thereby enhancing the efficiency and understanding of their big data operations.
Data Science & ML
Deployment & DevOps
Analytics & Monitoring
