SAFe 5 DevOps Monitoring and Telemetry Flashcards
6 cards from real SAFe® 5 DevOps Certification practice questions. Tap to flip, then mark Knew It or Still Learning — missed cards come back until you master them.
Read the first 6 SAFe 5 DevOps Monitoring and Telemetry flashcards as text
What are the four golden signals of monitoring as applied in SAFe DevOps?
Answer: Latency, traffic, errors, and saturation
The four golden signals — latency (response time), traffic (demand), errors (failure rate), and saturation (resource utilization) — provide essential health indicators for any system under monitoring.
What is observability and how does it differ from traditional monitoring?
Answer: Observability is the ability to understand internal system state from external outputs, going beyond predefined metrics to enable exploration of unknown problems
While monitoring tracks known metrics against thresholds, observability enables understanding of unknown system behaviors through rich telemetry (logs, metrics, traces), allowing engineers to ask new questions about system behavior.
What is the purpose of distributed tracing in microservices architectures?
Answer: To track a request's journey across multiple services to identify bottlenecks and failures
Distributed tracing follows a single request as it passes through multiple microservices, capturing timing and status at each hop to identify latency bottlenecks, error sources, and dependency issues.
What are Service Level Objectives (SLOs) in the context of DevOps?
Answer: Target values for service reliability metrics that balance availability with development velocity
SLOs define target levels for reliability metrics (availability, latency, error rate) that balance user expectations with engineering investment, providing an objective basis for reliability decisions and error budgets.
What is an error budget in SRE/DevOps practice?
Answer: The acceptable amount of unreliability, calculated as 1 minus the SLO target, which can be 'spent' on deployments and changes
An error budget is the tolerable level of unreliability (e.g., if SLO is 99.9%, the error budget is 0.1%). Teams can use this budget for deployments and experiments; when exhausted, they focus on reliability.
What is the value of implementing chaos engineering in a SAFe DevOps environment?
Answer: Proactively testing system resilience by introducing controlled failures to discover weaknesses
Chaos engineering deliberately introduces controlled failures (service outages, network latency, resource exhaustion) in a managed way to verify that systems degrade gracefully and recovery mechanisms work as designed.