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This will take you to the rule creation interface. You'll start by giving your alert a meaningful 'Name' – something descriptive like 'High Web Server Response Time' or 'Critical Login Failures'. Next, you need to define the query that fetches the data Grafana will monitor. This is similar to building a panel in your dashboard, but instead of just displaying the data, you're instructing Grafana to evaluate it against certain conditions. You'll select your data source, write your query (e.g., using PromQL for Prometheus, InfluxQL for InfluxDB, etc.), and specify how the data should be aggregated. After defining your query, you'll move on to the 'Condition' section. This is where you set the thresholds and evaluation periods. For instance, you might set the condition to `IS ABOVE` a certain value (e.g., `500` for response time) and specify the 'Evaluate for' duration (e.g., `5m` for 5 minutes). This means the alert will only trigger if the condition is met *continuously* for that duration, which is a fantastic way to reduce noisy alerts. You can also set conditions like `IS BELOW`, `IS EQUAL TO`, or `NO DATA` (which is super useful for detecting when a metric stops reporting).
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