Add dynamically updating context to logs with Reference Tables and Observability Pipelines

Datadog Observability Pipelines offers a centralized log enrichment solution using Reference Tables to enhance context for security and platform engineering teams. By integrating with various data sources such as Snowflake, ServiceNow CMDB, and cloud storage, it dynamically attaches metadata to logs before they leave the infrastructure, reducing the need for manual updates and improving the speed and accuracy of threat investigations. This approach allows enriched logs to be routed efficiently to downstream tools like SIEMs or data lakes, improving latency and consistency by avoiding repetitive lookups across different systems. The enriched data enables more informed routing and volume control decisions, ensuring that high-volume, low-risk data is stored cost-effectively while critical data is directed to appropriate analytics platforms for further investigation. The system efficiently handles updates in threat intelligence and other datasets, offering security engineers the ability to apply current context to historical data during investigations, ultimately streamlining operations and reducing costs.