Wednesday, July 23 | 8 AM PT / 11 AM ET / 4 PM BST
From Cold to Gold: Unlocking the Power of Tiered Data Storage with AWS
A comprehensive approach to data tiering and its impact on SIEM modernization
Webinar
Your SIEM holds critical data, but storing all telemetry can be costly — especially as cloud-native, microservices, and AI systems generate massive data volumes. So how do you maintain 24/7 visibility and rapid threat response without breaking the budget?
Traditional data tiering ties "hot, warm, cold" to data age, assuming you can predict which logs will matter, often driving up costs. In reality, data’s value only spikes when a question is asked: during an investigation, audit, or incident. By tiering data based on access frequency, a measurable signal, you can cut costs while keeping critical data accessible.
Join AWS and Cribl on July 23rd for a deep dive into modern data tiering strategies that help you to:
Keep frequently accessed, actionable data in your SIEM for real-time detection and response.
Seamlessly route archival data to cost-effective storage like Amazon S3, without losing access or compliance.
Collect, route, and transform data to the right formats such as OCSF before it reaches downstream analytics tools (i.e. SIEM, Amazon Security Lake).
Search data in place: data lakes, object stores, API endpoints, host systems, and more for faster, more flexible investigations.
It’s time to simplify, streamline, and take control of your storage sites, query tools, and telemetry data. Save your spot to unlock practical strategies for smarter, faster data management.
Register now!
Perry Correll is the Principal Technical Content Manager at Cribl. Cribl Search and Copilot are his focus. Making complex technology and concepts simple to understand is his mission. Prior to Cribl? I started my IT career at Cabletron, bonus to those of you familiar with the company. Has one wife, no kids, 2 dogs and a Maine Coon. Does not eat sushi, loves pizza and some day hopes to find the San Fernando, y San Francisco de Paula (1733 fleet)
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