Prometheus & Alerting
3 articles from official documentation
Mastering Histograms and Summaries in Prometheus
Unlock the power of observability with Prometheus histograms and summaries. Learn how these metric types can provide deep insights into your application's performance through bucketed observations and pre-configured quantiles.
- →Utilize histograms to categorize observations into buckets for detailed performance analysis.
- →Leverage summaries to track pre-configured quantiles over specific time windows.
Mastering Metric and Label Naming in Prometheus
Effective metric and label naming is crucial for observability in Prometheus. A well-defined metric name must comply with valid character rules, while labels differentiate the characteristics of what you're measuring. Get this right, and your monitoring becomes a breeze.
- →Ensure metric names comply with valid character rules to maintain consistency.
- →Use labels to differentiate characteristics, but avoid high cardinality dimensions.
Mastering Alerting in Prometheus: Strategies for Effective Monitoring
Alerting is crucial for maintaining system health and performance. In Prometheus, alerts should link to relevant consoles, making it easier to identify faults. Learn how to set up effective alerts that accommodate small fluctuations without overwhelming your team.
- →Link alerts to relevant consoles for quick fault identification.
- →Monitor high latency and error rates in online serving systems.