Category: Postgresql

In today’s world of microservices and distributed systems, building applications that can handle high concurrency efficiently is essential. PostgreSQL and Golang make for a powerful combination when it comes to developing such systems. This post explores strategies, patterns, and best practices for leveraging these technologies to create robust, high-performance applications. Why PostgreSQL and Go? Before…

Kubernetes has become the de facto standard for container orchestration, providing a robust platform for deploying stateful applications like PostgreSQL. This guide explores how to effectively deploy, manage, and scale PostgreSQL on Kubernetes to build resilient, high-performance database backends. Why PostgreSQL on Kubernetes? Deploying PostgreSQL on Kubernetes offers several advantages: Deployment Options There are three…

PostgreSQL offers robust replication capabilities that are essential for building high availability database infrastructures. Two primary replication methods stand out: Streaming Replication and Logical Replication. Each serves different use cases and comes with distinct advantages and limitations. This post explores both approaches to help you choose the right solution for your high availability needs. Understanding…

PostgreSQL offers powerful partitioning capabilities that can dramatically improve performance and manageability when dealing with large-scale data. This post explores key partitioning strategies with a focus on time-series data and sharding techniques. Why Partition Your PostgreSQL Tables? Partitioning large tables provides several benefits: PostgreSQL Partitioning Methods PostgreSQL supports three primary partitioning methods: Time-Series Partitioning Strategy…

While dedicated graph databases like Neo4j and ArangoDB have gained popularity for working with interconnected data, PostgreSQL—a traditional relational database—offers powerful capabilities for handling hierarchical and graph-like data structures. At the heart of this functionality is PostgreSQL’s implementation of Common Table Expressions (CTEs) and recursive queries, which allow you to traverse hierarchical relationships efficiently without…

In the world of search technologies, developers often face the choice between using a dedicated search engine like Elasticsearch or leveraging the built-in search capabilities of their existing database system. PostgreSQL, known for its robust feature set, offers powerful full-text search functionality that might make you question whether you need Elasticsearch at all. Let’s dive…

Docker and PostgreSQL make a powerful combination for development environments. With this setup, you can create consistent, isolated database environments that are easy to manage, version, and share with your team. Let’s explore how to create the ultimate PostgreSQL development environment using Docker. Why Use PostgreSQL with Docker? Setting Up PostgreSQL with Docker Step 1:…

The N+1 query problem is one of the most common performance bottlenecks in database-driven applications. It occurs when your code executes one initial query to retrieve a set of records, followed by N additional queries to fetch related data for each of those records. For large datasets, this approach can severely impact performance and scalability.…