Platform Data Management

The Splunk platform provides versatile and powerful ways to ingest, optimize, and visualize data, enabling organizations to unlock the full potential of their machine data. Its extensibility allows users to bring in data via built-in integrations or custom scripts, ensuring comprehensive data collection across hybrid and multi-cloud infrastructures. Then, the platform optimizes data management by filtering, enriching, and routing data efficiently, converting logs to metrics for flexible analysis, and centrally monitoring the entire data lifecycle with scalable forwarders and deployment servers. The scalable index and storage architecture decouples compute and storage for cost-effective long-term retention, supports high-performance real-time monitoring, and applies resource prioritization and security controls to accelerate searches.

For data exploration, Splunk offers a powerful Search Processing Language that supports everything from simple queries to advanced statistical and machine learning analyses. Users can create rich visualizations and dashboards through point-and-click interfaces, making insights accessible and actionable for both technical and business audiences. Additionally, the Splunk platform supports federated analytics to access data stored in multiple locations without creating silos, and leverages AI and machine learning to accelerate detection, investigation, and response. This unified approach empowers users to seamlessly ingest, optimize, and visualize data to drive operational intelligence and digital resilience at scale.

Explore the categories below for actionable guidance to help you deploy these use cases in your organization.

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