Gigamon and Splunk Reduce Premium Data Movement While Preserving Investigation Context

Organizations need access to complete telemetry for security, operational and compliance investigations without allowing premium data ingestion and storage costs to escalate. This joint Gigamon and Splunk case study explores how organizations can optimize telemetry management while preserving access to full-fidelity datasets.

By combining Gigamon's Deep Observability Pipeline and Application Metadata Intelligence (AMI) with Splunk Data Federation, organizations can selectively index high-value data in Splunk while retaining complete datasets in lower-cost storage such as Amazon S3. This approach helps reduce costs while improving visibility, accelerating investigations and making better use of telemetry data.

Key Takeaways:

• Reduce premium data ingestion and storage costs
• Maintain access to full-fidelity telemetry
• Selectively index high-value data in Splunk
• Retain complete datasets in lower-cost storage
• Combine Gigamon Deep Observability Pipeline with Splunk Data Federation
• Improve visibility across security and operational environments
• Accelerate security, operational and compliance investigations
• Optimize telemetry management without sacrificing critical data