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Operate & Monitor (OM)
Design a strategy for organizing monitoring dashboards. Propose 3 distinct types of dashboards (e.g., Executive/Business, Troubleshooting/Deep Dive, Team-Specific) and list the primary audience and goal for each type.
For a high-traffic e-commerce checkout service, define appropriate Service Level Indicators (SLIs) for latency and error rate. Based on these, propose a 3-tier Service Level Objective (SLO) alerting system (Warning, Critical, Pager Duty) with specific thresholds.
Explain the concept and necessity of Distributed Tracing in a microservices architecture. Specify the data fields required in a trace span (e.g., span ID, service name) and how tracing helps a DevOps engineer debug cross-service latency issues.
Outline a plan for implementing Synthetic Monitoring (active monitoring) for a critical API endpoint. Detail the required parameters (e.g., request frequency, expected response code/body) and the purpose of using synthetic checks over passive monitoring.
Explain why monitoring cost/billing is a critical operations metric in a serverless environment (e.g., AWS Lambda, Google Cloud Functions). Identify 3 metrics (e.g., invocation count, memory usage, execution duration) that directly impact cost and should be alerted on.
Distinguish between White-Box Monitoring (internal metrics) and Black-Box Monitoring (external behavior). Provide one example of a key metric derived from each type of monitoring for a web service.
Design a comprehensive Health Check Endpoint (/healthz) for an application that is part of an autoscaling group. List 5 key internal and external checks (e.g., database connectivity, external API status) that the endpoint must report to the load balancer/autoscaler.
Define the relationship between SLI (Indicator), SLO (Objective), and SLA (Agreement) for a software service. Provide a specific example of each for a customer-facing login service, and explain the consequence of breaching the SLA.
Distinguish between Syntactic Monitoring (e.g., PING checks) and Semantic Monitoring (e.g., transaction testing). Provide an example of a failure that would be missed by a syntactic check but caught by a semantic check.
Design a log aggregation strategy that prioritizes the delivery of critical error logs over debug logs to the central logging platform. Specify the component (e.g., log forwarder, queue) responsible for this prioritization.
Explain the role of a Service Mesh (e.g., Istio, Linkerd) in a microservices architecture. Identify 3 critical traffic metrics (e.g., circuit breaker status, request volume) that the mesh can automatically provide to the monitoring system.
Design an automated process using a log analysis tool (e.g., Splunk) to automatically identify and categorize the Top 5 Recurring Error Messages from the past 24 hours. Specify how this data should be presented to the development team for daily review.
Design a basic automated incident response playbook for a critical service failure (e.g., high memory usage). The plan must include a step-by-step procedure: Alert Reception, Automated Diagnosis (e.g., running a health check script), Triage/Escalation, and the First Automated Remediation Attempt (e.g., service restart).
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