Understanding Factors Impacting Data Replication Latency in PostgreSQL Across Geographically Distributed Nodes

In an increasingly globalized world, companies and organizations are leveraging distributed systems to handle massive amounts of data across geographically separated locations. Whether it is for ensuring business continuity, disaster recovery, or simply improving data access for users in different regions, replication of data between nodes situated in diverse geographical locations has become a critical aspect of modern database systems.
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A Beginner’s Guide to Sharding PostgreSQL with Citus

PostgreSQL is a powerful and open-source relational database system known for its reliability, flexibility, and advanced features. It handles complex queries, ensures data integrity, and can be extended to meet various needs, making it a popular choice for many applications. However, as your data grows and the number of transactions increases, scaling PostgreSQL can be challenging.
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Locks in PostgreSQL – Concurrency Benefits and Performance Challenges

PostgreSQL provides robust support for concurrency control through various locking mechanisms. Locks are critical in managing access to data and ensuring consistency and integrity in concurrent environments. Among these mechanisms, exclusive locks play a pivotal role in maintaining data integrity by preventing concurrent modifications.
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