Offline PostgreSQL Installation on RHEL 9: Solving the No Internet Challenge

PostgreSQL is one of the most loved databases, especially by developers, for its simplicity, easy configurations, and massive community support. It's an open-source powerhouse known for handling everything from small projects to large-scale applications. While major cloud providers, like AWS, Google, and Microsoft offer robust solutions for hosting databases on the cloud, not all businesses can or want to go this routeMany companies, choose to store their databases in secure, closed environments—machines without internet access or outside the cloud. This is often done to maintain tight control over sensitive data and to meet strict security requirements. However installing PostgreSQL in a restricted, offline environment can be a real challenge, as it limits access to typical installation tools. Recently, I worked on a client project with a similar setup—a secure, offline environment without internet access—where we needed to install and configure PostgreSQL from scratch. If you’re facing the challenge of setting up PostgreSQL in a closed environment, this blog will guide you through the process step-by-step.
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Implementing Bi-Directional Replication in PostgreSQL

In today's fast-paced digital world, ensuring that your data is always up-to-date and accessible is crucial. For businesses using PostgreSQL, replication is a key feature that helps achieve this. While many are familiar with streaming replication, bi-directional replication offers unique advantages that can enhance data availability and reliability. In this blog post, we'll explore what bi-directional replication is, how it differs from streaming replication, and provide a practical example to setup bi directional replication in PostgreSQL
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Transform PostgreSQL into a Columnar Database Using Citus

Columnar databases are transforming the way we handle large datasets by storing data in columns rather than rows. This approach enhances performance, especially for analytical queries, by allowing faster data retrieval and efficient storage. As businesses generate more data than ever, understanding the benefits of columnar databases becomes crucial. In this blog, we'll explore how these databases work, their advantages over traditional row-based systems, and why they are becoming a popular choice for data-driven organizations.
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Using pg_upgrade to Upgrading Your PostgreSQL Cluster on Windows

Upgrading your PostgreSQL cluster is an important task to keep your database running smoothly and securely. With each new release, PostgreSQL introduces performance improvements, security patches, and new features that can benefit your system. However, upgrading can be a bit tricky, especially if you're working in a Windows environment, where certain challenges like permissions, service management, and file handling may differ from Linux setups. In this blog, we’ll walk you through the process of performing an upgrade on a PostgreSQL cluster in Windows, covering the key steps to ensure everything goes smoothly without causing data loss.
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Optimizing PostgreSQL with Composite and Partial Indexes: A Quick Comparison

Optimizing PostgreSQL with Composite and Partial Indexes: A Quick Comparison

Indexes are crucial for accelerating database queries, and enhancing the performance of your PostgreSQL applications. However, not all indexes function the same way. Composite and partial indexes are two common types, each with distinct purposes and effects on performance. In this blog, we'll dive into what composite and partial indexes are, how they operate, and when to use them to achieve the best results for your database.
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