Concurrency and parallelism are two terms that are often used interchangeably, but they are not the same thing. In this article, we will explore the differences between the two concepts and how they are related.
Learn about the differences between unlogged tables and logged tables in PostgreSQL and when to use each type of table for optimal performance.
Learn how to optimize your API responses in Ruby using the OJ gem. OJ provides fast JSON serialization and deserialization, making it an excellent choice for improving the performance of your Ruby applications.
Optimizing Redis performance in Ruby on Rails applications is crucial for enhancing response times and reducing latency. Learn how to improve Redis performance by implementing connection pooling, leveraging the Hiredis client library, and monitoring Redis operations.
In backend development, tasks can be classified as I/O-bound or CPU-bound based on their resource requirements and execution characteristics. Let’s explore the differences between these two types of tasks and how to optimize their performance in a backend application.
Learn how to speed up your web application with a Content Delivery Network (CDN). Find out what a CDN is, how it works, and the benefits of using a CDN for your website. Discover best practices for optimizing web performance with a CDN and improve the user experience of your web application.
Learn how to optimize web performance by using SplitChunks in Webpack to bundle and split JavaScript code efficiently. Discover best practices for configuring SplitChunks to improve page load times and reduce network latency.
Sharding is a database partitioning technique that involves splitting a large database into smaller, more manageable parts called shards. In this guide, we’ll introduce the concept of sharding, explore different sharding strategies, and provide step-by-step instructions for implementing vertical, horizontal, and hybrid sharding in PostgreSQL.
Learn how to use the Index Include feature in PostgreSQL to create covering indexes that include additional columns in the index structure for improved query performance.
Partial indexes in PostgreSQL allow you to create indexes on a subset of rows in a table, optimizing query performance and reducing storage requirements. This article explores the benefits of using partial indexes, common use cases, and best practices for leveraging them to improve the efficiency of your PostgreSQL database.