Datadog Observability Pipelines is a tool that helps organizations manage their log data by pre-processing it before routing it to higher-cost indexed storage solutions, allowing them to control log volumes and optimize the value of their log data while staying within budget. By applying filters, sampling, editing, and deduplication to their source log data, teams can amplify the signal within the noise and focus on more valuable log data. Additionally, Observability Pipelines provides granular control over logs through its five processor types, including filter, sample, quota, and dedupe processors, which enable teams to define rules for what data to drop and what to send along to premium storage. By implementing these features, organizations can ensure budget compliance and optimize the value of their log data.