When configuring AWS RDS, some of the most important database parameters depend on the engine (MySQL, PostgreSQL, SQL Server, etc.), but here are the most critical parameters across most engines:


1. Performance & Optimization

max_connections

  • Defines the maximum number of concurrent database connections.
  • Too low → Connection errors; Too high → Memory exhaustion. max_connections

innodb_buffer_pool_size (MySQL/MariaDB)

START Basic what is the database engine used in MySQL Back: innodb

END

START Basic Usually how much of ram will allocate for innoDB? Back: 70-80%

END

  • Controls how much memory is allocated to InnoDB storage engine for caching.
  • Typically set to 70-80% of available RAM for performance. Case 2
  • innodb

work_mem (PostgreSQL)

START Basic what work_mem database parameter does? Back:

  • Determines memory allocated for sorting and hashing operations. END

START Basic if we increase work_mem database parameter, how it will effect for database? Back:

  • Increasing it improves complex query performance but consumes RAM.

    END

  • Determines memory allocated for sorting and hashing operations.

  • Increasing it improves complex query performance but consumes RAM.

shared_buffers (PostgreSQL)

START Basic what shared_buffers database parameter does? Back:

  • Determines how much RAM is used for caching database pages.

    END

  • Determines how much RAM is used for caching database pages.

  • Generally set to 25-40% of total RAM. work_mem vs shared_buffers


2. Replication & High Availability

START Basic what are the main database parameters we use to optimize replication & high availability Back:

  • binlog_format
  • rds.repilcation_source
  • wal_level END

binlog_format (MySQL)

START Basic which binlog format is best to avoid non-deterministic behavior? Back: rows

END

  • Defines the binary log format (ROW, STATEMENT, MIXED).
  • ROW is best for replication to avoid non-deterministic behavior.

rds.replication_source (MySQL/PostgreSQL)

  • Used for setting up read replicas for scaling read operations.

wal_level (PostgreSQL)

  • Controls how much information is logged for replication.
  • Set to logical or replica for streaming replication.

3. Security & Access Control

rds.force_ssl

  • Ensures all database connections use SSL encryption for security.

log_connections & log_disconnections (PostgreSQL)

  • Helps track who is connecting/disconnecting for auditing.

rds.log_retention_period

  • Defines how long logs are retained (useful for auditing & compliance).

4. Maintenance & Backups

backup_retention_period

  • Sets the number of days automated backups are retained (default: 7 days).

rds.enable_auto_minor_version_upgrade

  • Automatically applies minor DB version upgrades.

autovacuum (PostgreSQL)

  • Cleans up dead tuples to prevent table bloat.

5. Query Logging & Monitoring

slow_query_log

  • Logs queries that take longer than a specified time (useful for debugging).

long_query_time

  • Defines the threshold (in seconds) for logging slow queries.

log_statement (PostgreSQL)

  • Controls which SQL statements are logged (none, ddl, mod, all).

Best Practices for AWS RDS Parameter Tuning

  • Adjust memory-related settings based on instance size (e.g., innodb_buffer_pool_size, work_mem).
  • Enable logging (slow_query_log, log_connections, binlog_format).
  • Optimize replication settings (wal_level, rds.replication_source).
  • Set proper security parameters (rds.force_ssl, log_connections).