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PostgreSQL 16 Installation on RHEL/CentOS – Step-by-Step Guide

Why Databases? Why PostgreSQL? In today's digital world, data is at the heart of every application, from social media platforms to banking systems, from e-commerce websites to IoT devices. To manage this data efficiently, reliably, and securely, we need a robust system known as a database management system (DBMS). Among the many DBMS options available, PostgreSQL stands out as a top choice for developers and enterprises alike. Here’s why PostgreSQL is a go-to database for modern applications: -Standards-compliant and ACID-compliant for strong reliability -Supports both relational and non-relational data (via JSON, hstore) -Extensible because you can create your own data types, operators, and functions. Advanced indexing and full-text search capabilities -Runs on all major OS platforms and integrates well with cloud environments While PostgreSQL 17 is the latest version, this guide focuses on PostgreSQL 16. In many production environments, it’s common to work with the n-1 version for stability and upgrade planning.
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DBA as a Service for PostgreSQL: Expert-Led Support for Databases That Power Your Business

Let us start with some simple math. 24/7 coverage means 168 hours a week. A full-time engineer typically works a 40-hour week. That means you need 4.2 people just to ensure round-the-clock presence — and that is before factoring in weekends, public holidays, personal days, or unplanned absences. Realistically, you need a team of six to ensure someone is available at all times to look after your database. That is why we built DBA as a Service at Stormatics. It is a managed PostgreSQL operations partnership, designed specifically for high-growth teams that need reliable, expert-led care for their database layer, allowing them to stay focused on product delivery.
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A Guide to Deploying Production-Grade Highly Available Systems in PostgreSQL

In today’s digital landscape, downtime isn’t just inconvenient, it’s costly. No matter what business you are running, an e-commerce site, a SaaS platform, or critical internal systems, your PostgreSQL database must be resilient, recoverable, and continuously available. So in short: High Availability (HA) is not a feature you enable; it’s a system you design.
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PostgreSQL Index Corruption on Windows

PostgreSQL index corruption on Windows can silently bring your systems to a halt. A leading video analytics SaaS platform, built for real-time alerting and operational insights, began facing critical performance issues as it scaled.
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Replication Types and Modes in PostgreSQL

Data is a key part of any mission-critical application. Losing it can lead to serious issues, such as financial loss or harm to a business’s reputation. A common way to protect against data loss is by taking regular backups, either manually or automatically. However, as data grows, backups can become large and take longer to complete.
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Disaster Recovery Guide with pgbackrest

Recently, we worked with a client who was manually backing up their 800GB PostgreSQL database using pg_dump, which was growing rapidly and had backups stored on the same server as the database itself. This setup had several critical issues: - Single point of failure: If the server failed, both the database and its backups would be lost. - No point-in-time recovery: Accidental data deletion couldn’t be undone. - Performance bottlenecks: Backups consumed local storage, impacting database performance. To address these risks, we replaced their setup with pgBackRest, shifting backups to a dedicated backup server with automated retention policies and support for point-in-time recovery (PITR). This guide will walk you through installing, configuring, and testing pgBackRest in a real-world scenario where backups will be configured on a dedicated backup server, separate from the data node itself.
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From 99.9% to 99.99%: Building PostgreSQL Resilience into Your Product Architecture

Most teams building production applications understand that “uptime” matters. I am writing this blog to demonstrate how much difference an extra 0.09% makes. At 99.9% availability, your system can be down for over 43 minutes every month. At 99.99%, that window drops to just over 4 minutes. If your product is critical to business operations, customer workflows, or revenue generation, those 39 extra minutes of downtime each month can be the difference between trust and churn.
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