Basalt metrics, in Datadog.
Send lag, throughput and query latency to Datadog every 10 seconds. Every metric is tagged by source, view and region.
Overview
How it works.
Basalt pushes metrics to the Datadog API from each region, tagged with source, view, region and workspace. A ready-made dashboard and monitor pack are installed with the integration.
Setup
Set it up in three steps.
01
Add the destination
Paste a Datadog API key and pick your site. Basalt installs the dashboard and starts sending metrics within a minute.
# send workspace metrics to Datadog US5 basalt sink add metrics --datadog --site us5.datadoghq.com
✓ API key verified · dashboard installed
✓ 64 metrics reporting · 10s interval
02
Shape it with a view
Write plain SQL over the source. Basalt keeps the view current with every record and tracks lineage back to the topic, partition and offset.
CREATE MATERIALIZED VIEW revenue_by_min AS SELECT date_trunc('minute', ts) AS minute, currency, sum(amount) AS revenue, count(*) AS payments FROM payments WHERE status = 'captured' GROUP BY 1, 2;
03
Read it from anywhere
Every view is an endpoint the moment it exists. Call it over REST, connect with any Postgres client, or use the SDK from your app.
curl https://api.basalt.dev/v1/views/revenue_by_min?limit=5 \ -H "Authorization: Bearer $BASALT_TOKEN"
✓ 200 OK · 5 rows · served from eu-north-1 in 3.1 ms
Included
What you get.
01
Lag per source
Track consumer lag in records and seconds for every source and partition.
02
Query latency
p50, p95 and p99 per view and region, ready for SLO monitors.
03
Monitor pack
Prebuilt monitors for lag, error rate and slot growth, editable in Datadog.
04
Unified tags
Tags match your Datadog conventions, including env and service.
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