
Ep109: Sustaining Data Quality and Quantity: How Cribl is helping Customers Control Costs and Unlock Value
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Cribl’s Field CISO Ed Bailey discusses how customers can manage the quality and quantity of data by providing intelligent controls between data sources and destinations.
Topics Include:
- Cribl company name origin
- Company helps organizations screen data to find valuable insights
- Ed Bailey was Cribl's first customer back in 2018
- Data growth of 25% yearly created seven-figure cost increases
- CEOs and CIOs complained about explosive data storage costs
- Users demanded more data while budgets remained constrained
- Bailey discovered Cribl through a random Facebook advertisement
- Cribl Stream sits between data sources and destinations
- No new agents required, uses existing infrastructure connections
- Reduced data growth from 28% to 8% within year
- Development cycles shortened from six weeks to two weeks
- Bailey managed global security and telemetry data systems
- Operated large Splunk instance across forty different countries
- Team spent time collecting data instead of extracting value
- Cribl provided consistent data control plane for operations
- Smart engineers could focus on machine learning solutions
- Migrated from terrible SIEM to better security platform
- Data strategy should focus on business requirements first
- Not all data has the same business value
- Tier one: Critical data goes to expensive platforms
- Tier two: Important data stored in cheaper lakes
- Tier three: Compliance data in low-cost object storage
- SIEM costs around one dollar per gigabyte stored
- Data lakes cost twelve to eighteen cents per gigabyte
- Object storage costs fractions of pennies per gigabyte
- AWS partnership provides scalable infrastructure for rapid growth
- EC2, EKS, and S3 are heavily utilized services
- Cribl Search finds data directly in object storage
- Avoids costly data movement for search and analysis
Participants:
- Edward Bailey – Field CISO, Cribl
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