Internet-Scale Analytics: Migrating a Mission Critical Product to the Cloud
Summary
Akamai migrated its high-volume internet security analytics platform from an on-premises Hadoop architecture to a cloud-native setup using Azure blob storage, Kafka, Kubernetes, and Databricks. The resulting architecture decouples raw data storage from streaming metadata via Kafka, utilizing custom shared libraries and sharding strategies to achieve low-latency ingestion, cost-effective scaling, and improved performance.
Summary generated by brickster.ai from the video transcript.
More from Databricks
NewsTeach AI how your business actually runs
Model intelligence is no longer the bottleneck for enterprise AI adoption because modern frontier models easily handle complex reasoning tasks. Business value requires providing these models with specific organizational context and metadata about internal processes to create a competitive advantage.





