Modern data analytics platforms rely on complex pipelines that include data ingestion, storage, processing, and analysis tools. Because each layer involves different technologies and teams, diagnosing issues across the entire stack can be challenging. Datadog provides full-stack observability that unifies infrastructure metrics, logs, and application traces from every component of the analytics platform. With built-in integrations for common technologies such as Kafka, Spark, and Snowflake, teams can monitor performance and troubleshoot problems from a single location. Custom dashboards allow organizations to visualize key metrics across their analytics infrastructure, while tracing and log management help uncover the root causes of performance issues. By giving data engineers, SREs, and a

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