Ep109: Sustaining Data Quality and Quantity: How Cribl is helping Customers Control Costs and Unlock Value

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