Question 1

What does RDS PostgreSQL consulting include?

Accepted Answer

RDS-specific architecture: Multi-AZ deployment design, read replica topology (including cross-region), Postgres extension management (pg_partman, pgvector, PostGIS, pg_repack, hypopg, etc.), parameter + DB cluster parameter group tuning, Blue/Green Deployments for zero-downtime upgrades, RDS Proxy connection pooling, the RDS-Postgres-vs-Aurora-Postgres-vs-self-managed economics. Written advisory deliverables.

Question 2

RDS Postgres vs Aurora Postgres — which fits?

Accepted Answer

RDS Postgres wins for: cost-sensitive workloads at smaller scale, exact Postgres community-edition compatibility (RDS runs unmodified Postgres), workloads where Aurora's cluster-storage doesn't justify the premium, or extension dependencies that Aurora handles less well. Aurora Postgres wins for: read-heavy workloads (15 read replicas on cluster storage), pgvector + ML pipelines, multi-region Global Database, faster failover. See Aurora vs RDS.

Question 3

Multi-AZ DB Instance vs Multi-AZ DB Cluster — what's the difference?

Accepted Answer

Multi-AZ DB Instance: traditional RDS Multi-AZ — primary in AZ-A, sync standby in AZ-B, automatic failover. Multi-AZ DB Cluster (newer): writer + two readers across 3 AZs, semi-sync replication to readers, faster failover (~35 seconds), readers can serve queries (unlike Instance mode's standby). Cluster mode is the better default for new Postgres workloads; Instance mode is fine for budget-constrained workloads where reader-as-active isn't needed.

Question 4

Postgres extensions on RDS — what's supported?

Accepted Answer

RDS Postgres supports ~85 extensions including pg_partman, pgvector, PostGIS, pg_repack, hypopg, pg_stat_statements, pg_trgm, postgres_fdw, hstore, tablefunc, and many more. Some extensions need an explicit shared_preload_libraries entry in the parameter group. RDS doesn't support extensions that require superuser privileges or filesystem access (TimescaleDB on RDS is limited; Timescale Cloud is the answer for full TimescaleDB). We audit your extension dependencies against the RDS supported list early in any migration.

Question 5

Blue/Green Deployments for Postgres — when to use them?

Accepted Answer

Blue/Green creates a synchronised green environment via logical replication that you can promote with one click. Use it for: Postgres major version upgrades (15 → 16), parameter group changes requiring restart, schema migrations needing validation time, or any high-risk change you want to roll back safely. The green environment costs the same as the blue (paying for two environments during validation), but the cutover safety + instant rollback is worth it for production-critical changes.

Question 6

Parameter group tuning — what matters?

Accepted Answer

Critical RDS Postgres parameters: shared_buffers (RDS default is ~25% of RAM — usually too low for OLTP, raise to 40-50%), work_mem (defaults are too small for analytical queries), max_connections (RDS conservative defaults often need raising or RDS Proxy in front), checkpoint_completion_target, autovacuum_naptime, log_min_duration_statement. RDS limits some parameters to safe ranges. We audit workload + parameter group together rather than applying generic tuning.

Question 7

RDS Proxy for Postgres — when does it pay off?

Accepted Answer

RDS Proxy multiplexes Postgres connections — particularly valuable when: (a) running on Lambda where connection churn is high, (b) application creates many short-lived connections, (c) you've hit max_connections and the workload doesn't justify a bigger instance. RDS Proxy adds single-digit ms latency per request, so it's not free; for steady-state long-lived connections, application-side pooling (PgBouncer, HikariCP) is usually cheaper and faster.

RDS PostgreSQL Services