Author : Jethish
Postgresql
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.
Author : sukan
Postgresql
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.
Author : Divine Steve
Xstreami
A payment service needed real-time streaming AND historical data transformation across 40 MySQL tables into one TiDB table. Xstreami delivered 100 billion records migrated with 0% data loss, complex business logic — zero lines of code written.
Author : Ananth B
Devops
This blog explains why live linux kernel live patching has become essential for modern infrastructure security, and how real-time patching technologies allow critical vulnerabilities to be fixed instantly without reboots, downtime, or service disruption—helping organizations maintain high availability while staying continuously protected.
Author : Abishek S
Mongodb
MongoDB ensures data consistency with single-document atomic operations and multi-document transactions. This guide explains how to implement transactions, their limitations, performance impacts, and best practices for production environments. It also highlights when to use distributed transactions and how expert consulting can help optimize performance.
Author : Thiyaghu
Xstreami
This blog explains how Xstreami helps teams operationalise real-time MySQL CDC or streaming by simplifying business rule management, preview, deployment and replay—without sacrificing technical depth or reliability.
Author : Jethish
Mysql
Schema changes on large MySQL tables can bring production systems to a halt if not handled correctly. This case study walks through how Mafiree helped a fintech client execute a zero-downtime MySQL schema migration on a 500M+ row production database — covering the real challenges faced, the three-phase tool strategy using gh-ost, pt-online-schema-change, and MySQL 8.0 INSTANT DDL, production configuration settings with performance benchmarks, and best practices for safely evolving your MySQL schema without impacting users
Author : Thiyaghu
Xstreami
This blog explains why MySQL real-time streaming has become essential for modern analytics and AI systems, and how CDC-based architectures enable reliable, observable and scalable data pipelines for fast, data-driven decisions.
Author : Jethish
Mysql
MySQL features a unique tiered architecture that separates query processing from data storage through its pluggable storage engine model. This guide explores the core components—from connection handling and the SQL optimizer to the physical storage of data on disk. By understanding how engines like InnoDB provide ACID compliance and row-level locking, you can significantly improve your database's scalability. We also break down the query execution workflow and provide actionable tips for performance tuning, such as optimizing the buffer pool. Whether you're managing a replica set or a standalone instance, mastering MySQL’s internal structure is essential for building high-performance applications.
Author : Jethish
Postgresql
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.
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