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Datadog CloudPrem is in Preview.
Overview
CloudPrem uses a decoupled architecture which separates the compute (indexing and searching) and data on an object storage. This allows for independent scaling and optimization of different cluster components based on workload demands.
Components
The CloudPrem cluster, typically deployed on Kubernetes (EKS), consists of several components:
- Indexers
- Responsible for receiving logs from Datadog Agents. Indexers process, index, and store logs in index files called splits to the object storage (for example, Amazon S3).
- Searchers
- Handle search queries from the Datadog UI, reading metadata from Metastore and fetching data from the object storage.
- Metastore
- Stores metadata about the indexes, including split locations on the object storage. CloudPrem uses PostgreSQL for this purpose.
- Control Plane
- Schedules indexing jobs called indexing pipelines on indexers.
- Janitor
- Performs maintenance tasks, applying retention policies, garbage collecting expired splits, and running delete query jobs.
Further reading
