Your API backend spans multiple clouds and you need network latency reporting. Which two steps should you take? (Choose two.)

Network latency reporting across multiple clouds involves collecting distributed tracing data and then analyzing it. Zipkin is an open-source distributed tracing system that can collect latency data from services across different cloud environments. Stackdriver Trace (now Cloud Trace) is Google Cloud's managed distributed tracing service. It can ingest tracing data, including that collected by Zipkin, and then generate detailed reports and visualizations of request latency, helping identify bottlenecks across microservices and cloud boundaries. Fluentd is a data collector for logs, not specifically for distributed tracing. Stackdriver Debugger is used for inspecting application state in production, not for network latency reporting. Stackdriver Profiler helps analyze CPU and memory utilization, not network latency.