A developer is examining the interactions among containers running multiple services. Which approach best identifies transaction details across those services to isolate hidden latencies?
Collecting raw system metrics that provide resource usage data
Gathering and storing logs that capture broad system events
Performing an in-depth call flow analysis that follows each request through every step
Creating alerts that warn operators about performance spikes
An in-depth call flow analysis pinpoints the segments of a request from entry to exit of each service. This method helps locate where delays occur in the process. Log outputs are important, but they often do not show step-by-step transaction details. System metrics focus on performance at a component level rather than transaction flow. Alerts provide notifications when thresholds are exceeded, but they do not capture detailed transaction paths.
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What is an in-depth call flow analysis?
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How does call flow analysis differ from logging and metrics collection?
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Why are latency issues often difficult to identify without call flow analysis?