In today's complex, hybrid, and multi-vendor environments, DevOps and security teams are increasingly adopting OpenTelemetry (OTel) for telemetry data instrumentation to avoid vendor lock-in. However, OTel alone lacks advanced processing functions and volume control, leading to fragmented setups. Datadog Observability Pipelines address these gaps by supporting OTel as a logs source, enabling teams to collect, process, and route telemetry data while maintaining a vendor-neutral architecture. This integration allows for unified data collection with pre-ingestion volume control, parsing rules, and automatic handling of OTLP protobuf for simplified data manipulation. Observability Pipelines support open-source frameworks, offering out-of-the-box normalization to the Open Cybersecurity Schema Framework (OCSF) and providing advanced data transformation capabilities. This solution ensures teams can process and route data efficiently across both on-premises and cloud-native environments without disrupting existing workflows or compromising visibility, ultimately enabling organizations to manage growing data volumes while adhering to budget constraints and compliance requirements.