When Models Eat the World: Supply Chain Quality for AI-Dependent Systems
Databricks has developed a new monitoring platform called Hydra, built on its Lakehouse architecture, to handle the massive scale of its operations, ingesting over 10 trillion samples daily and managing 5 billion active timeseries. This platform addresses challenges with high-cardinality metrics and aims for a more hands-off, self-healing infrastructure. Meanwhile, nOps has rebuilt its cloud optimization platform using Databricks Lakebase, integrating its application and analytics for a simpler, faster architecture. Additionally, several companies are launching tools and platforms aimed at simplifying cloud infrastructure management and AI application deployment across AWS, GCP, and Azure, with a focus on security and developer experience. AI
IMPACT New infrastructure and tools are emerging to support large-scale AI deployments and multi-cloud management, indicating a maturing ecosystem for AI operations.