aurora postgresql cost optimization

How We Helped a Client Save $500,000 on Amazon Aurora PostgreSQL Costs

Saved $500K on amazon aurora postgresql Costs Amazon Aurora PostgreSQL cost optimization is essential for enterprises that rely on cloud databases but struggle with rising infrastructure bills. Although Amazon Aurora PostgreSQL offers high performance and reliability, costs can grow quickly when sizing, backups, and scaling are not reviewed regularly. At Bynatree Data Solutions, we help organizations…

High Availability PostgreSQL 16.11 Cluster with repmgr 5.5 on CentOS Stream 10 (Coughlan)

Introduction High availability (HA) is a critical requirement for modern database infrastructures, ensuring minimal downtime and seamless failover in case of node failures. PostgreSQL, while robust as a standalone database, requires additional tooling to manage replication, failover, and cluster orchestration in multi‑node environments. repmgr (Replication Manager) is a widely adopted open‑source tool that simplifies the…

Efficient PostgreSQL Backup Strategies: Leveraging pgBackRest for Performance & Recovery

In continuation of our blog series on effectively implementing backup strategies in a production environment, this article delves into the topic of Efficient PostgreSQL Backup Strategies: Leveraging pgBackRest for Performance & Recovery and how it enhances database reliability. pgBackRest is a robust, open-source backup and restore tool for PostgreSQL, designed for scalability and high-performance databases.…

Optimizing PostgreSQL Performance with pg_prewarm

In this blog post, I will showcase a demonstration of PostgreSQL performance with pg_prewarm in PostgreSQL 16.1 PostgreSQL is a powerful open-source database that comes with several extensions to enhance its functionality. One such extension is pg_prewarm, which is particularly useful for optimizing PostgreSQL performance with pg_prewarm after a restart by preloading relation data into…

Database Migration from postgres to mysql using pg2mysql tool

Introduction In today’s dynamic corporate climate, data migration between database systems is a deliberate move that coincides with changing organizational demands. This block describes the migration of PostgreSQL to MySQL. This change necessitates meticulous preparation to handle possible issues and guarantee smooth interaction with existing business procedures.   Basic Differences PostgreSQL Advanced Feature Set: PostgreSQL…

aurora postgresql

Troubleshooting IO Issues in Aurora PostgreSQL: Understanding StorageNetworkThroughput Limits

Overview of Aurora PostgreSQL Storage and Throughput Aurora PostgreSQL is a robust, cloud-native database solution known for its scalability, high availability, and managed services. One of its standout features is the virtually unlimited IOPS (Input/Output Operations Per Second) and throughput at the storage layer. However, while the storage layer itself may not impose limits, the…

Stop Catalog Bloat: Boost PostgreSQL Performance by Replacing Temporary Tables

Recently, we encountered an issue where catalog queries executed by the drivers during session creation were taking significantly longer than expected. These queries, managed by PHP drivers, were impacted by a performance bottleneck. Due to this user session creations are taking more time. Upon investigation, I discovered that the pg_attribute and pg_class system catalog tables…

PostgreSQL 17’s New Backup Feature: Incremental Backups

Introduction With the release of PostgreSQL 17, a game-changing feature has arrived: incremental backups. In prior versions, such as PostgreSQL 16 and earlier, users could only perform full backups. This approach, while reliable, had its drawbacks—particularly the time it took to complete these backups and the storage they required. Previously, users relied on WAL (Write-Ahead…