At petabyte scale, telemetry ingestion becomes a data-centre architecture problem

OpenTelemetry architectures typically involve applications emitting generic telemetry, which collectors batch and export to a managed backend for processing and storage. This approach works well for most scales, allowing backend systems to handle data parsing, encoding, and storage without requiring changes from the applications. However, at petabyte-scale, the ingestion process can become costly, leading to inefficiencies in data handling. Axiom's solution, Bifrost, addresses this by shifting data preparation closer to the source, applying Axiom-specific encoding and storage logic before the data reaches the central system. This approach reduces the computational burden on central systems and lowers data-loading costs by producing compact columnar batches that are ready for storage and querying. While still in private preview, Bifrost is designed to optimize the economics of large-scale data telemetry by maintaining data integrity and enabling efficient query processes, thus providing a more cost-effective solution for handling massive volumes of machine data.

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