Your company's SaaS platform experiences unpredictable peaks and valleys in resource demand throughout each day. To avoid costly slowdowns, the operations team needs a monitoring strategy that will surface resource-usage anomalies as soon as they appear. Which approach will most effectively provide timely detection of abnormal consumption patterns?
Set a frequent schedule to gather usage details and retain prior data for review
Inspect usage details once a week to look for anomalies
Capture random segments of resource consumption multiple times per month
Depend on error records from a guest operating system for performance events
Collecting metrics on a short, regular schedule (for example, every minute) and retaining historical data enables dashboards and alerting tools to establish baselines and immediately flag deviations. Depending solely on OS error logs can delay awareness, while weekly or random sampling risks missing short-lived performance spikes or dips that occur between collections.
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Why is it important to collect data at consistent intervals?
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What tools are commonly used to monitor performance trends in cloud environments?
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What makes event logs insufficient for detecting performance anomalies?