Introduction

Resources

What is PromQL?

Use Cases

Time Series Data Model

Metric Types

Overview and Demo Service

Using the Expression Browser

Using PromLens

Selecting Series

Counter Rates and Increases

Gauge Derivatives and Predictions

Aggregating Over Dimensions

Binary Arithmetic on Time Series

Overview

PromQL's Nested Structure

Expression Result Types

Expression Node Types

Query Types and Evaluation Time

Overview

Working with Histograms

Thresholds and Filtering by Value

Set Operations

Working with Timestamp Metrics

Sorting and topk / bottomk

Comparing to Past Data for Simple Anomaly Detection

Inspecting Scrape Health

Detecting Absent Series

Aggregating Over Time

Subqueries

Summary

Further Steps