PostgreSQL 19: A Smarter Way to Enable Logical Decoding with effective_wal_level

Learn how to choose the right PostgreSQL index for better query performance. This guide explains B-Tree, GIN, and BRIN indexes, their ideal use cases, performance characteristics, and key indexing best practices to help optimize PostgreSQL databases efficiently.

Understand how PostgreSQL streaming replication works, deploy a primary server and replica node, implement failover for high availability, and optimize your replication setup with Mafiree's expert DBA services. Ensuring high availability and data protection in PostgreSQL environments is critical for modern applications. One of the most effective ways to achieve this is through PostgreSQL replication setup, particularly using streaming replication with failover capabilities. This guide walks you through configuring a robust PostgreSQL replication system, covering everything from basic setup to handling failover scenarios.

PostgreSQL 19 introduces REPACK, a native command that unifies the functionality of VACUUM FULL and CLUSTER while adding support for CONCURRENTLY to minimize downtime. Unlike traditional table rewrites that require long ACCESS EXCLUSIVE locks, REPACK can reclaim table bloat online by copying live data, rebuilding indexes, and applying concurrent changes before a final metadata swap. This article explores how REPACK works internally, compares it with VACUUM FULL and pg_repack, demonstrates a hands-on performance test, explains the new pg_stat_progress_repack monitoring view, and covers current limitations and best practices for production environments.

ProxySQL excels in MySQL-specific query routing, read/write splitting, and performance tuning. HAProxy offers robust load balancing across multiple protocols and is ideal for general-purpose proxying. Choose ProxySQL if your focus is on MySQL optimization; select HAProxy for broader application-level load balancing. Both tools support failover mechanisms but with different levels of database-specific integration.

This blog explores PostgreSQL’s progress reporting system views that provide real-time visibility into long-running operations like VACUUM, ANALYZE, CREATE INDEX, COPY, and base backups. It explains how DBAs can monitor execution phases, estimate completion, detect bottlenecks, and improve operational efficiency using these built-in views. Real-world examples and use cases demonstrate how progress tracking enhances performance tuning, automation, and maintenance planning.

Understanding the difference between MySQL and PostgreSQL is critical when choosing a database for production workloads. While both are powerful open-source relational databases, they are built with fundamentally different philosophies. This comprehensive guide compares MySQL vs PostgreSQL across architecture, performance behavior under concurrent loads, replication strategies, and real-world use cases — backed by Mafiree's 17+ years of hands-on production experience across India, APAC, and the Middle East.

A client came to us with a classic AWS database storage optimization problem: 15.2 TB allocated, less than a third actually in use — and a bill that kept growing regardless. Within one week, Mafiree had reclaimed 3.6 TB, validated a safe path to cut allocation nearly in half, and executed a zero-downtime migration. Here's the full story.

PostgreSQL uses a process-per-connection model, which can limit scalability in high-traffic environments. Connection poolers help manage this challenge by reusing database connections efficiently. This blog compares PgBouncer and Odyssey, two popular PostgreSQL connection poolers, highlighting their architecture, performance characteristics, configuration differences, and ideal use cases. It helps organizations choose the right pooling solution based on workload scale, complexity, and operational requirements.

PostgreSQL 18: Efficiency, security, and reliability, all in one upgrade

Cutting Query Time from 10 Minutes to Under 1 Second – How Functional Indexes Helped Us Optimize Aurora PostgreSQL and Stabilize CPU Performance.

Why memorize SQL queries when \d, \l, and \dx do the heavy lifting? Learn the power of PostgreSQL’s psql meta-commands today.

Choosing the Right Replication Type in PostgreSQL – Understand the key differences between Streaming and Logical Replication, their best use cases, and how to implement them effectively for high availability, scalability, and disaster recovery.

Altering large tables in PostgreSQL can cause locks, performance issues, and downtime in production environments. This blog explains how pg_osc (PostgreSQL Online Schema Change) enables safe schema modifications using a shadow table approach, allowing applications to continue operating during migrations. The article covers how pg_osc works, compares it with alternatives like pg_repack, explores real-world use cases, and provides practical steps for implementing online schema changes in production. It also highlights best practices used by Mafiree to perform reliable zero-downtime PostgreSQL schema migrations in high-traffic environments.

This illustration represents the power of mysql_fdw in enabling smooth data exchange and real-time connectivity between MySQL and PostgreSQL. A perfect solution for cross-database operations and data integration!

Revolutionize your database management with PostgreSQL 17! Experience faster, smarter, and more efficient backups with the power of incremental backup. Reduce storage, save time, and ensure seamless recovery – the future of PostgreSQL backup starts here!

Load balancing in PostgreSQL distributes client connections across multiple database servers to improve performance, scalability, and availability. This guide compares Pgpool-II, ProxySQL, and HAProxy, covering their key features, advantages, limitations, and suitability for PostgreSQL workloads.

PostgreSQL 17 is here to revolutionize your database experience! Packed with enhanced performance, cutting-edge features, and improved scalability, this release is designed to meet the evolving demands of modern applications. Whether you're handling complex queries or scaling to new heights, PostgreSQL 17 brings unparalleled reliability and efficiency to your data management solutions.

Recently Postgres 16 has launched and I have picked the most interesting feature in this blog.

This blog explains how PostgreSQL Autovacuum works — covering the launcher/worker process model, the exact formula that decides when a table becomes eligible, and the key differences between VACUUM, Autovacuum, and VACUUM FULL. It includes an interactive eligibility calculator, tunable parameters, monitoring queries, and best practices to help DBAs prevent table bloat and transaction ID wraparound.