StarzHD set out to modernize a business analytics ETL platform that had become slow, costly, and operationally complex at scale. The existing architecture relied on Apache Airflow and Spark running on AWS EC2 instances, creating high infrastructure costs and limited flexibility. CyberHULL partnered with StarzHD to redesign the ETL ecosystem into a serverless, event-driven architecture — improving execution speed, lowering costs, and introducing strong governance and operational tooling.
The key obstacles we needed to overcome to transform the digital experience.
Long-running EC2-based Spark workloads created significant infrastructure expenses.
Limited scalability and slow processing impacted analytics freshness.
Increasing complexity managing large Airflow DAGs.
Operational friction when migrating toward AWS Step Functions and Lambdas.
Lack of standardized deployment, governance, and visibility across pipelines.
