What teams monitor with arcodash.
Concrete checks you can run on your own data with plain SQL, from freshness and volume to signups and payments. Each page shows the query and how it alerts you.
Alert when signups drop: SQL for signup and payment checks
To alert when signups drop, schedule a query that returns yesterday's signups as a percent of the median day over the last 14 days, and alert when it falls below about 50.
use caseBI tool with unlimited users: fixed price vs per-seat
Per-seat and usage-priced tools have a variable bill: it moves with headcount, viewers, editors or usage.
use caseData freshness monitoring with SQL
Monitor freshness by scheduling a query that returns how many seconds past its limit a table is, and alerting when that number goes above zero.
use caseData observability for small teams, without a platform
A small team can get most of the value of data observability with five scheduled SQL checks on the two or three tables that matter: freshness, daily volume, null rate on a key column, duplicate keys, and orphaned or invalid values.
use caseSlack alert from a SQL query, without cron
Write a query that returns one number, such as a count of bad rows, then schedule it and set an alert condition on that column.
use caseSQL alert when a metric drops
Schedule a query that returns one percent-change number comparing a window to the same window yesterday or last week, and alert when it falls below a limit like -30.
Trust the number. Try it on your data.
The demo is a live dashboard with its checks running. The trial is the full product for 14 days, no card.