How to Build Your Own Splunk

Automatically detect unusual patterns and anomalies in data.

Analyze business metrics and KPIs from operational data.

Create tailored dashboards and visualizations for business insights.

Pre-built structured data representations for faster searching.

Create and manage datasets for self-service data exploration.

Demonstrate compliance with regulatory standards through audit trails and reporting.

Protect sensitive data through automated masking in logs.

Coordinate and track security incidents through integrated workflows.

Automated incident classification and root cause analysis.

Detect threats and investigate security incidents with SIEM capabilities.

Monitor application performance and end-user experience metrics.

Monitor servers, networks, and infrastructure components in real-time.

Monitor and analyze network traffic and performance.

Capture and analyze real user interactions and application performance.

Monitor systems and applications with real-time dashboards and alerts.

Collect and index data from any source at scale.

Build and manage knowledge objects like saved searches and field extractions.

Powerful search language for querying indexed data.

Lightweight agents for collecting and forwarding data to Splunk.

Advanced data collection and processing agents with filtering capabilities.

Install on any endpoint to collect logs and metrics.

Create and manage intelligent alerts for critical events.

Reduce alert fatigue with correlation and deduplication.

Tools and guidance for migrating from on-premises Splunk to Splunk Cloud.

Cloud-hosted Splunk platform with automatic scaling and updates.

Run searches on a schedule for automated data analysis.