ISC2 Certified Secure Software Lifecycle Professional (CSSLP) Practice Question
Your team is implementing continuous monitoring for a Kubernetes-based online service. Application logs and node CPU/memory metrics are already shipped to the SIEM. To pinpoint user-level latency problems that span several microservices, which additional kind of telemetry should be collected first?
End-to-end distributed request traces that carry context across services
NetFlow traffic summaries exported from the cluster gateways
Logs record discrete events and metrics show aggregated resource usage, but neither can reliably follow a single user request as it traverses multiple microservices. Distributed request traces propagate a unique context identifier through each service call, providing start-to-finish timing data and service-to-service relationships. Correlating these spans allows analysts to see exactly where latency is introduced for an individual transaction, supporting rapid triage and remediation. NetFlow summaries expose network volumes, not application call chains. BIOS integrity measurements relate to host attestation, not request performance. Penetration-test reports are periodic assessments, not real-time telemetry. Therefore, collecting distributed request traces is the most effective first step.
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What are distributed request traces in the context of microservices?
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What tools can be used to implement distributed tracing in Kubernetes environments?
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What are distributed request traces and how do they work?
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ISC2 Certified Secure Software Lifecycle Professional (CSSLP)