Case Study: RTL Germany triples retention with Elastic Observability

RTL Germany triples retention to 90 days with Elastic

RTL Germany, a major broadcasting and media company, was facing a significant challenge with its centralized Elastic data lake. The platform was hitting a 100 TB on-premises storage cap, which limited standard data retention to just 30 days. This prevented business intelligence teams from analyzing KPIs over longer periods and forced compliance data to be stored in separate, hard-to-search S3 buckets outside the main data lake.

By upgrading to Elastic Enterprise and implementing its Observability solution with searchable snapshots and a frozen tier, RTL Germany tripled its standard retention to 90 days. The solution increased combined storage capacity to 235 TB without adding licenses, reduced the hypervisor footprint from 18 to 10 nodes, and enabled a cutover with zero downtime or data loss. Elastic provided RTL Germany with a modern, scalable architecture that allowed for easy future data onboarding and much faster querying of historical information.

RTL Germany