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Database integrations

Database integrations

What you learned in Database Observability

  • Deep query-level monitoring for MySQL and PostgreSQL
  • How Grafana Alloy collects query performance, explain plans, and wait events
  • When Database Observability is the right choice for your database

What you’ll do in this module:

  • What integrations provide — Metric collection, pre-built dashboards, and alerting
  • MongoDB — Operations, connections, replication, and memory monitoring
  • Redis — Commands, memory, keyspace, and persistence monitoring
  • Memcached — Hit rate, evictions, memory, and connection monitoring
  • Cassandra — Reads, writes, compaction, and JVM monitoring
  • MySQL and PostgreSQL — Basic metric monitoring as a fallback when Database Observability isn’t an option
  • Oracle Database — Sessions, processes, tablespaces, and wait-event monitoring

Choose one database to set up hands-on, or explore multiple.

Estimated time

10–15 minutes (concept slides) + 15–20 minutes (hands-on learning path)

Script

In the previous module, you explored Database Observability, Grafana Cloud’s deepest approach to monitoring MySQL and PostgreSQL. Now it’s time to look at a broader option.

Database integrations use Grafana Alloy to collect infrastructure-level metrics from a wider range of databases, including MongoDB, Redis, Memcached, Cassandra, and Oracle Database. Each integration ships with pre-built dashboards and alerts, so monitoring starts working right away.

In this module, you’ll see what integrations provide, compare the options, and then choose a database to set up hands-on.

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