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Write, validate, and optimise PromQL queries for Prometheus and Grafana Cloud Metrics. Use when
PromQL Query Patterns PromQL is a functional query language for time series data. Every query returns either an instant vector (one value per label set at a point in time), a range vector (a sliding window of samples), or a scalar. Golden rule: rate() and increase() always require a range vector. The range must be at least 4x the scrape interval to avoid gaps. For a 60s scrape interval, use [5m] minimum. Rate and counter queries Rate (per-second average over a window): rate(http_requests_total[5m])
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