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If the database is slow under load, the following steps should be taken:

1. Monitoring and metrics collection: check CPU, memory, disk, network load, and the number of active connections.
2. Query analysis: identify slow or frequently executed queries using a profiler or logs.
3. Query optimization: add indexes, rewrite complex queries, use caching.
4. Database configuration check: ensure that memory parameters, connection pool, and other settings are optimal.
5. Scaling: if necessary, add replicas, sharding, or increase server resources.
6. Lock and concurrency check: identify and remove locks that slow down operation.

Example: if a Go application uses a PostgreSQL database, you can enable slow query logging and analyze them, then optimize or add indexes.