Datadog is now offering the ability to generate globally accurate aggregations of process metrics across any subset of applications and infrastructure, allowing users to store these metrics for up to 15 months. This feature enables users to analyze historical trends in their data, troubleshoot performance degradations, and detect future issues more proactively. With this new capability, users can also leverage percentile aggregates to spot outlying processes, apply unified service tagging, and use process metrics alongside other telemetry data to identify the root cause of issues. Additionally, Datadog's distribution metrics allow users to analyze high-cardinality data at a glance, providing non-percentile and percentile aggregations that concisely summarize resource consumption of processes running on any meaningful subset of hosts or containers. This feature enables users to pinpoint outliers, differentiate between primary and secondary workloads, and use process metrics in conjunction with other telemetry data to identify the root cause of issues. Furthermore, Datadog's alerts and SLOs enable teams to detect infrastructure issues proactively, allowing them to respond more effectively to incidents. Overall, this new feature provides users with a single place to view all their processes, enabling better visibility into their applications and infrastructure.