<ul><li>Prometheus metrics provide insights into the performance of applications and systems, helping monitor their health.</li><li>In a Prometheus configuration file, targets are specified for scraping metrics at defined intervals.</li><li>Metrics retrieved from Prometheus are accessible via the /metrics endpoint.</li><li>Prometheus metrics consist of helpful components like HELP, TYPE, metric name, and value.</li><li>Common metric types in Prometheus include counter, gauge, summary, and histogram.</li><li>Counters are ideal for tracking values that only increase, like memory usage or request counts.</li><li>Gauges represent numerical values that can fluctuate over time and are suitable for current-state tracking.</li><li>Summary metrics in Prometheus track events and their durations, providing insights into distributions.</li><li>Histogram metrics in Prometheus enable the observation of data distribution in predefined buckets.</li><li>Understanding Prometheus metrics, their types, and usage can optimize monitoring and troubleshooting processes.</li></ul>

Understanding Prometheus Metrics for Beginners

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