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Advanced High Availability for MySQL with ProxySQL and Orchestrator

High Availability (HA) is critical for ensuring the continuous operation and performance of modern applications. MySQL, a widely used relational database management system, provides replication features to achieve data redundancy and scalability. However, achieving optimal HA requires more than just replication; it necessitates sophisticated tools for load balancing and failover management. In this detailed article, we’ll explore how to set up a robust HA environment using ProxySQL for load balancing and Orchestrator for failover and topology management. This guide covers advanced configuration details, performance tuning, and integration strategies for a seamless HA solution.

Unlocking the Full Potential of PostgreSQL with pg_repack

PostgreSQL is a powerful, open-source relational database system known for its robustness and advanced features. However, as with any database system, over time, PostgreSQL can suffer from table bloat—an issue that can lead to degraded performance and increased storage costs. Table bloat occurs due to the accumulation of dead tuples that are left behind after DELETE, UPDATE, and VACUUM operations. To combat this, PostgreSQL offers the VACUUM command, but in many scenarios, it’s not sufficient to reclaim all the wasted space. This is where pg_repack comes in.

A Comprehensive Evaluation of MySQL Deployment Options on AWS: RDS vs. Aurora

This article delves into the intricacies of deploying MySQL databases on Amazon Web Services (AWS), specifically evaluating the two primary managed service offerings: Amazon Relational Database Service (RDS) for MySQL and Amazon Aurora MySQL. By dissecting their architectural underpinnings, performance characteristics, and suitability for various use cases, this analysis empowers database administrators and application developers to make informed decisions when selecting the optimal solution for their MySQL deployments on AWS.

The Future is Now: Strategies for Migrating Your Legacy Database to PostgreSQL

The world of data is constantly evolving. Legacy database systems, once the reliable workhorses of your organization, might be struggling to keep pace with the demands of modern applications and data growth. These older systems can be slow, expensive to maintain, and lack the flexibility needed for today’s agile development environment. Struggling with limited scalability, they can become bottlenecks that hinder application performance and growth. Queries take longer to run, reports become tedious to generate, and managing ever-increasing data volumes becomes a constant battle.