Database reliability monitoring

How to test this use case

Measure Database reliability monitoring with SQL and check the results

To measure database reliability monitoring with sql, choose one workflow and its owner. Define the events, test them with known inputs, and write a query that answers a specific question.

1
Choose when to log
Choose one database-dependent workflow and define its safe operation fingerprints.
2
Capture the outcome
Begin with database_query_completed, database_pool_sampled, database_transaction_completed and document the grain of each event.
3
Check the stored rows
Review rates and thresholds with the database owner before enabling alerts.
4
Make the decision
Which normalized database operations are slow most often?

Use case versus template

Choose what to measure

Use this guide to choose what to measure and when to log it. For a shorter setup prompt, open the matching template.

Open Database reliability monitoring template

Agent prompt

Paste this into your coding agent

Replace YOUR_API_KEY after signup, then ask the agent to run the product flow and verify the first events.

agent prompt

Database reliability monitoring with SQL setup prompt

text

Instrument database reliability with Telemetry.

Use /skill.md and this Telemetry API key: YOUR_API_KEY

Add structured events around the application's database boundary for:
1. Completed queries with query_fingerprint, service, database_name, status, duration_ms, rows_returned, release, and environment.
2. Connection-pool samples with active_connections, idle_connections, max_connections, waiting callers, acquisition wait, and timeout outcome.
3. Terminal transactions with transaction_id, status, controlled error_type, duration_ms, and workflow context.
4. Lock waits, replication or CDC lag, and migration outcomes where the application already has an approved signal.

Create a dashboard for slow-query rate, pool wait rate, transaction rollback rate, lock waits, replication lag, and migration failures. Add alerts only after minimum volume and sustained-duration thresholds are reviewed.

Do not log raw SQL parameters, unrestricted statement text, connection strings, credentials, database error dumps, or customer records.

Setup steps

1Choose one database-dependent workflow and define its safe operation fingerprints.
2Add events to the database wrapper, connection pool, transaction commits and rollbacks, and migration job.
3Send synthetic success, timeout, rollback, lock-wait, and lag examples.
4Review rates and thresholds with the database owner before enabling alerts.

Events to capture

database_query_completeddatabase_pool_sampleddatabase_transaction_completeddatabase_lock_wait_observeddatabase_replication_sampleddatabase_migration_completed

Questions you can answer

Which normalized database operations are slow most often?
Which pools make callers wait or time out?
Did a release change rollback, lock, migration, or replication behavior?

Example event schemas

Check what each event records, when to send it, and which field types it needs. Review the example payload and privacy checklist before using it in production.

Database reliability9 fields