Route OTel data from AI apps to ClickHouse and Datadog using Observability Pipelines

Organizations investing in AI are facing challenges with rapidly increasing telemetry data volumes and associated costs, leading them to adopt more efficient data pipelines like Observability Pipelines. These pipelines enable teams to collect, enrich, transform, and route telemetry data to various destinations, such as ClickHouse and preferred Security Information and Event Management (SIEM) systems, offering flexibility and high performance. While tools like the OpenTelemetry (OTel) Collector standardize data collection, they lack routing flexibility and enrichment capabilities. Observability Pipelines address this gap by allowing data to be collected from both OTel and non-OTel sources and routed to different environments, including hybrid and multi-cloud setups. This approach helps standardize data formats, which is crucial for consolidating telemetry into fast query layers like ClickHouse, ensuring data quality and easy analysis. The system also supports compliance efforts through features like sensitive data redaction and offers monitoring tools to track pipeline performance and health. By integrating Datadog's Observability Pipelines, teams can manage data flows effectively, maintaining insights across diverse systems and preventing issues like data loss and processing bottlenecks.

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