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semab tariq: Cold, Warm, and Hot Standby in PostgreSQL: Key Differences

22. August 2025 - 13:54

When working with customers, a common question we get is: “Which standby type is best for our HA needs?” Before answering, we ensure they fully understand the concepts behind each standby type and provide the necessary guidance

A standby server is essentially a copy of your primary database that can take over if the primary fails.

There are different types of standby setups, each with its own use cases, pros, and cons. In this blog, we will discuss the three types: Cold Standby, Warm Standby, and Hot Standby.

Ian Barwick: PgPedia Week, 2025-08-10

22. August 2025 - 12:39
PostgreSQL 19 changes this week pg_stat_progress_basebackup column backup_type added PostgreSQL 18 articles "enable" parameters will work differently in Postgres 18 (2025-08-07) - Michael Christofides / pgMustard

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Regina Obe: Learning PostgreSQL from AI and JSON exploration: Part 2

21. August 2025 - 8:05

This is the second part of the series I started on Learning PostgreSQL from AI and JSON exploration: Part 1. For this 2nd part, I decided to try gpt-oss the 14GB model which was just released in the past week. My first impression, "When will this ai shut up about its thinking process?".

Umut TEKIN: Exploration: Migration to CNPG

21. August 2025 - 8:00
Introduction

In our CNPG series, we have explained how to create a PostgreSQL cluster and how to customize it. However, most of the time, we don't have the luxury to start to use a database from scratch. We might have already started a project without high availability and we might be looking for an easy-to-manage environment on cloud native environment. In this case, CNPG is the answer, but how do we migrate our existing cluster to CNPG? In today's article, we will explain that.

Umair Shahid: PostgreSQL Database SLAs: Why Hidden Issues Often Break Customer Commitments

20. August 2025 - 14:18

SLAs feel reassuring when signed—but their substance lies in what happens behind the scenes. Often, the most damaging breaches don’t stem from cloud outages or server failures, but from invisible issues hidden in how PostgreSQL was initially set up and configured. Increasingly sluggish queries, split-brain scenarios, silent backup failures, any of these can suddenly explode into customer-facing crises.

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