PostgreSQL database tuning recommendation: Based on the database workload needs, we will review the overall database and cluster parameters to maximize throughput and performance. Ensuring the database is optimally configured from parameters related to memory tuning, query tuning, database logging, vacuum, analyze, bloats, and database connections. PostgreSQL High Availability review: Depends on your SLA agreements, we review and recommend the overall requirement for the High Availability set up to meet your SLA requirements. Failover strategy and auto-scaling recommendations will also be reviewed. PostgreSQL Identification of slow SQLs: We analyze data from the CloudWatch, performance insights, enhanced monitoring, and using our custom scripts to identify problematic SQL. We also identify the Histogram of these queries along with the slowest individual queries, Ttime consuming queries, type of queries and most frequent queries. PostgreSQL monitoring and alerts recommendation: We will review patterns from CloudWatch and custom scripts to identify threshold values for various database counters. We also share recommendations on what all CloudWatch metrics and alerts should be set up. PostgreSQL Best practices recommendation: We will review and recommend best practices on unused indexes, missing indexes, duplicate indexes, missing primary keys, SQL traffic pattern, connection pattern, partitioning, extensions, and database maintenance jobs.