Explanation:
To monitor HTTP latencies for all users without a load balancer using Stackdriver Monitoring:
GAUGE the appropriate metricKind as it captures instantaneous values.DISTRIBUTION valueType is essential because it records a histogram of latency values, enabling analysis of percentiles (e.g., p50, p95) to understand the full user experience distribution.Heatmap visualization effectively displays distribution data over time, highlighting latency patterns, outliers, and concentrations.Why other options are incorrect:
DELTA tracks changes over intervals (e.g., request counts), not instantaneous latencies. DOUBLE lacks distribution support. Stacked Bar graphs suit aggregated counts, not latency distributions.CUMULATIVE is for monotonically increasing metrics (e.g., total requests), not per-request latencies. DOUBLE misses distribution. Line graphs show trends but not value distributions.METRIC_KIND_UNSPECIFIED is invalid and discouraged. INT64 cannot capture latency distributions. Stacked Area graphs aggregate values, masking individual latency experiences.Thus, option C is correct, as it uses GAUGE + DISTRIBUTION to capture latency histograms and a Heatmap for comprehensive visualization.
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You are managing an application that exposes an HTTP endpoint without a load balancer. HTTP response latency is critical for user experience. You need to monitor the HTTP latencies experienced by all users using Stackdriver Monitoring. What should you do?
A
• In your application, create a metric with a metricKind set to DELTA and a valueType set to DOUBLE. • In Stackdriver's Metrics Explorer, use a Stacked Bar graph to visualize the metric.
B
• In your application, create a metric with a metricKind set to CUMULATIVE and a valueType set to DOUBLE. • In Stackdriver's Metrics Explorer, use a Line graph to visualize the metric.
C
• In your application, create a metric with a metricKind set to GAUGE and a valueType set to DISTRIBUTION. • In Stackdriver's Metrics Explorer, use a Heatmap graph to visualize the metric.
D
• In your application, create a metric with a metricKind set to METRIC_KIND_UNSPECIFIED and a valueType set to INT64. • In Stackdriver's Metrics Explorer, use a Stacked Area graph to visualize the metric.