Key Concepts

Learn about Key Concepts in Parseable, including core concepts, configuration steps, and practical guidance for building an effective observability workflow.

Dive deeper into the key concepts of Parseable to understand how to best leverage Parseable for your specific observability needs. Whether you're new to Parseable or looking to deepen your understanding, these concepts will provide a solid foundation for using Parseable effectively.

Data modelling

Learn when to create datasets, how to aggregate observability data, use schemas, and manage your data effectively.

Partitioning

Optimize query performance by partitioning datasets based on frequently filtered columns.

Query

Use PostgreSQL-compatible SQL to query your telemetry data with powerful filtering and aggregation.

Storage

Achieve storage efficiency and cost with object stores like S3, GCS, Azure Blob as the primary storage layer.

High availability

Ensure your Parseable deployment is resilient and always available with built-in high availability features. Deploy across public or private clouds, containers, VMs, or bare metal environments with complete data security and privacy.