Podcast - Scaling PostgreSQL with Read-Write Splitting: A Docker & SQLAlchemy Tutorial

As web applications grow, scaling database performance becomes crucial. One effective strategy is to implement read-write splitting, where write operations (such as INSERT, UPDATE, and DELETE) are directed to the primary database. At the same time, read operations (such as SELECT queries) are routed to replicas. This approach improves the efficiency of database interactions and enables better load balancing and high availability.

In this podcast, we will explore how to set up PostgreSQL read-write splitting using Docker to create a mock Aurora PostgreSQL cluster, HAProxy for load balancing, and SQLAlchemy in Python to manage read-write query separation.

#PostgreSQL #SQLAlchemy #Docker #PythonDevelopment #DatabaseScaling #HAProxy #CloudArchitecture #DevOps

https://businesscompassllc.com/scaling-postgresql-with-read-write-splitting-a-docker-sqlalchemy-tutorial/



Comments

Post a Comment

Popular posts from this blog

Streamlining ETL Processes: Moving Data from S3 to PostgreSQL with AWS Glue

Image
In today’s extensive data landscape, efficiently moving and transforming data is critical for gaining actionable insights. Amazon Web Services (AWS) provides powerful tools for managing this process, with AWS Glue standing out as a serverless, fully managed Extract, Transform, Load (ETL) service. This guide walks you through setting up a seamless ETL pipeline from Amazon S3 to a PostgreSQL database on Amazon RDS, leveraging AWS Glue’s capabilities. Introduction: Addressing the Challenge of Data Movement in Big Data Environments Big data environments often involve vast amounts of unstructured and structured data stored across multiple sources. Moving this data efficiently from storage systems like Amazon S3 to a relational database like PostgreSQL can be challenging. The process typically requires setting up a secure and scalable pipeline to handle large datasets, automate the ETL process, and ensure data integrity. AWS Glue provides an excellent solution to these challenges, offering v...
Read more

A Comprehensive Comparison of Cloud Providers: AWS, Azure, GCP, and OCI

Image
In today's rapidly evolving digital landscape, businesses are increasingly adopting multi-cloud strategies to leverage the unique strengths of different cloud service providers. As organizations seek to optimize their cloud infrastructure, a comprehensive understanding of the major players—Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP), and Oracle Cloud Infrastructure (OCI)—is essential. This blog post provides a detailed comparative analysis of these cloud services, focusing on critical areas such as compute services, serverless computing, database offerings, storage solutions, networking capabilities, identity and access management, and big data & analytics. Overview of Multi-Cloud Strategy A multi-cloud strategy involves using services from multiple cloud providers to prevent vendor lock-in, enhance flexibility, and optimize performance. This approach enables organizations to allocate resources based on specific needs, such as geographical presence, ...
Read more

Optimizing Node.js Deployments with Yarn on AWS Elastic Beanstalk: A Step-by-Step Guide

Image
Introduction to Deploying Node.js Apps with AWS Elastic Beanstalk AWS Elastic Beanstalk is a powerful service that simplifies the deployment and management of Node.js applications. By abstracting much of the underlying infrastructure, developers can focus on writing code while AWS handles scaling, monitoring, and load balancing. However, regarding dependency management, AWS Elastic Beanstalk defaults to NPM, which, while capable, has limitations. Enter Yarn, a more efficient alternative that can enhance your Node.js deployments on Elastic Beanstalk. The Default NPM Dependency Management and Its Limitations NPM is the default package manager for Node.js applications on AWS Elastic Beanstalk. While widely used, NPM can sometimes improve performance, determinism, and security. Issues like inconsistent dependency versions or slow installations can lead to deployment headaches. On the other hand, Yarn offers deterministic installs, better performance, and superior dependency resolution, mak...
Read more

YouTube Channel

Follow us on X