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Core
Production change correlation: timelines, cohorts and causal evidence
Use deployment and configuration timelines to narrow incident hypotheses without mistaking sequence for cause. Compare cohorts and mitigation outcomes while preserving uncertainty.
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RELATED CONCEPTS
PRACTICE THIS IN REAL QUESTIONS
Incident Response & Production DebuggingA rolling update stalls halfway: new replicas crash-loop and old ones are already scaled down. What are your first moves?→Observability, SLOs & ReliabilityLogs, metrics and traces: what is each one good at, and which do you reach for first in an incident?→Observability, SLOs & ReliabilityELK, Splunk, or a managed platform like Datadog: how would you choose a logging stack?→Containers & KubernetesWhat does a Deployment give you that a ReplicaSet does not, and when would you touch a ReplicaSet directly?→Containers & KubernetesWhat does a service mesh solve that Kubernetes does not, and when is the operational cost not worth paying?→Observability, SLOs & ReliabilityPrometheus memory jumped 400% overnight. Find the cause and stop it recurring.→