ARCHITECT
FEATURED ANALYSIS
Scaling StarRocks on Amazon EKS with KEDA and Karpenter for enterprise OLAP workloads
BY
Vara Bonthu
SOURCE
Containers
DATE
READ
1 min read
Financial analytics at enterprise scale is unforgiving. Queries must return in seconds, not minutes. Thousands of finance professionals need concurrent access during monthly close cycles. And when data volumes grow from …
Financial analytics at enterprise scale is unforgiving. Queries must return in seconds, not minutes. Thousands of finance professionals need concurrent access during monthly close cycles. And when data volumes grow from hundreds of gigabytes to terabytes, spanning billions of records, the infrastructure underneath must scale without forcing engineers to choose between performance and cost. This