I am trying to lower our AWS bills by moving our serverless components and database to a cheaper host in Nevada what are my best options for PostgreSQL performance tuning?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
I am trying to lower our AWS bills by moving our serverless components and database to a cheaper host in Nevada what are my best options for PostgreSQL performance tuning?
2 real searches · 1 real-search pass
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
Classifying 2 queries…
Searches and sources
ChatGPT2 real searches · gpt-6
PostgreSQL official documentation resource consumption configuration shared_buffers work_mem effective_cache_size pg_stat_statements Google ↗
PgBouncer official documentation transaction pooling serverless PostgreSQL connections Google ↗
- PostgreSQL: Documentation: 18: 19.4. Resource Consumption · postgresql.org
- PostgreSQL: Documentation: 18: 19.4. Resource Consumption · postgresql.org
- PgBouncer documentation · pgbouncer.org
- pg_stat_statements documentation · postgresql.org
- pgBadger · github.com
- pg_activity · github.com
- PgBouncer command-line usage · pgbouncer.org
- PgBouncer 1.26.1 Documentation · doc.pg.center
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
PostgreSQL official documentation resource consumption configuration shared_buffers work_mem effective_cache_size pg_stat_statements OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 | |
PgBouncer official documentation transaction pooling serverless PostgreSQL connections OBSERVED | Google ↗ AI Mode ↗ | — | — | — | — | 1x of 1 |