<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Transactions on Support Tools</title><link>https://support.tools/tags/transactions/</link><description>Recent content in Transactions on Support Tools</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Thu, 06 Aug 2026 09:00:00 -0500</lastBuildDate><atom:link href="https://support.tools/tags/transactions/index.xml" rel="self" type="application/rss+xml"/><item><title>Golang and PostgreSQL: Advanced Patterns for Production Applications</title><link>https://support.tools/post/golang-postgres-advanced-patterns/</link><pubDate>Thu, 06 Aug 2026 09:00:00 -0500</pubDate><guid>https://support.tools/post/golang-postgres-advanced-patterns/</guid><description>&lt;p&gt;Go and PostgreSQL form a powerful foundation for building robust, high-performance applications. This combination delivers exceptional concurrency, reliability, and developer productivity when implemented correctly. However, building production-ready applications requires a deeper understanding of how these technologies interact, particularly around connection management, transaction handling, and performance tuning.&lt;/p&gt;&#10;&lt;p&gt;This comprehensive guide explores advanced patterns for working with PostgreSQL in Go applications, with a focus on real-world scenarios and production-ready implementations.&lt;/p&gt;&#10;&lt;h2 id="table-of-contents"&gt;Table of Contents&lt;/h2&gt;&#10;&lt;ol&gt;&#10;&lt;li&gt;&lt;a href="#understanding-the-go-postgresql-relationship"&gt;Understanding the Go-PostgreSQL Relationship&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#connection-pool-management"&gt;Connection Pool Management&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#transaction-patterns"&gt;Transaction Patterns&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#advanced-query-techniques"&gt;Advanced Query Techniques&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#concurrency-and-race-conditions"&gt;Concurrency and Race Conditions&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#error-handling-and-retries"&gt;Error Handling and Retries&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#performance-monitoring-and-optimization"&gt;Performance Monitoring and Optimization&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#migration-and-schema-management"&gt;Migration and Schema Management&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#testing-database-code"&gt;Testing Database Code&lt;/a&gt;&lt;/li&gt;&#10;&lt;li&gt;&lt;a href="#production-checklist"&gt;Production Checklist&lt;/a&gt;&lt;/li&gt;&#10;&lt;/ol&gt;&#10;&lt;h2 id="understanding-the-go-postgresql-relationship"&gt;Understanding the Go-PostgreSQL Relationship&lt;/h2&gt;&#10;&lt;p&gt;Go and PostgreSQL complement each other remarkably well. Go&amp;rsquo;s concurrency model and efficient resource utilization align with PostgreSQL&amp;rsquo;s robust multi-version concurrency control (MVCC) system.&lt;/p&gt;</description></item><item><title>7 Deadly Sins of Go Database Transaction Management (And How to Avoid Them)</title><link>https://support.tools/go-database-transaction-management-best-practices/</link><pubDate>Thu, 14 May 2026 09:00:00 -0500</pubDate><guid>https://support.tools/go-database-transaction-management-best-practices/</guid><description>&lt;p&gt;Database transactions are critical for maintaining data integrity in your Go applications. However, even experienced developers often fall prey to common transaction management mistakes that can lead to data corruption, performance bottlenecks, and hard-to-debug issues. This comprehensive guide explores the seven most dangerous transaction management pitfalls in Go and provides proven solutions to avoid them.&lt;/p&gt;</description></item><item><title>Advanced Linux Database Systems Programming: Building High-Performance Storage Engines and Transaction Processing</title><link>https://support.tools/advanced-linux-database-systems-programming/</link><pubDate>Sun, 18 May 2025 10:00:00 -0500</pubDate><guid>https://support.tools/advanced-linux-database-systems-programming/</guid><description>&lt;p&gt;Advanced Linux database systems programming requires deep understanding of storage engines, transaction processing, concurrency control, and query optimization. This comprehensive guide explores building custom database systems including B-tree implementations, Write-Ahead Logging, MVCC, and creating production-grade ACID-compliant database engines.&lt;/p&gt;</description></item></channel></rss>