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Design a monitoring strategy encompassing three layers: Application, Infrastructure, and Business Metrics. For each layer, specify one key metric (e.g., CPU utilization, 95th percentile latency, conversion rate) and the ideal tool to track it.
Explain the necessity of Log Sampling in a high-volume microservices environment (e.g., millions of events per second). Detail a strategy wh...
Explain the concept of AIOps in the context of IT operations. Provide one example of how machine learning (ML) could be applied to log data ...
Outline a plan for implementing Synthetic Monitoring (active monitoring) for a critical API endpoint. Detail the required parameters (e.g., ...
Define the relationship between SLI (Indicator), SLO (Objective), and SLA (Agreement) for a software service. Provide a specific example of ...
Distinguish between White-Box Monitoring (internal metrics) and Black-Box Monitoring (external behavior). Provide one example of a key metri...
Establish a centralized logging solution (e.g., ELK Stack) for microservices. Specify the log format standard (e.g., JSON), the essential fi...
Explain the role of a Service Mesh (e.g., Istio, Linkerd) in a microservices architecture. Identify 3 critical traffic metrics (e.g., circui...
Distinguish between Syntactic Monitoring (e.g., PING checks) and Semantic Monitoring (e.g., transaction testing). Provide an example of a fa...
Design a log aggregation strategy that prioritizes the delivery of critical error logs over debug logs to the central logging platform. Spec...
Design an automated process using a log analysis tool (e.g., Splunk) to automatically identify and categorize the Top 5 Recurring Error Mess...
Design a comprehensive Health Check Endpoint (/healthz) for an application that is part of an autoscaling group. List 5 key internal and ext...
Describe the process of configuring a Metrics Scraper (e.g., Prometheus) to collect data from a new microservice. Detail the specific format...