Add SQLite performance limitation with alerting (#62296)

docs/sources/alerting/performance-limitations/index.md

@@ -23,7 +23,7 @@ The following section provides a list of alerting performance considerations.
 - Cardinality of the rule's result set. For example, suppose you are monitoring API response errors for every API path, on every VM in your fleet. This set has a cardinality of _n_ number of paths multiplied by _v_ number of VMs. You can reduce the cardinality of a result set - perhaps by monitoring errors-per-VM instead of for each path per VM.
 - Complexity of the alerting query consideration. Queries that data sources can process and respond to quickly consume fewer resources. Although this consideration is less important than the other considerations listed above, if you have reduced those as much as possible, looking at individual query performance could make a difference.
 
-Each evaluation of an alert rule generates a set of alert instances; one for each member of the result set. The state of all the instances is written to the `alert_instance` table in Grafana's SQL database.
+Each evaluation of an alert rule generates a set of alert instances; one for each member of the result set. The state of all the instances is written to the `alert_instance` table in Grafana's SQL database. This number of write-heavy operations can cause issues when using SQLite.
 
 Grafana Alerting exposes a metric, `grafana_alerting_rule_evaluations_total` that counts the number of alert rule evaluations. To get a feel for the influence of rule evaluations on your Grafana instance, you can observe the rate of evaluations and compare it with resource consumption. In a Prometheus-compatible database, you can use the query `rate(grafana_alerting_rule_evaluations_total[5m])` to compute the rate over 5 minute windows of time. It's important to remember that this isn't the full picture of rule evaluation. For example, the load will be unevenly distributed if you have some rules that evaluate every 10 seconds, and others every 30 minutes.