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Modern systems often deal with continuous data streams: logs, metrics, transactions, or sensor readings. Over time, these tables grow huge and slow down queries and backups. To keep performance high and storage clean, we need automation both in how data is stored (partitioning) and maintained (scheduling). That’s where pg_partman and pg_cron come in. Together, they…
In a previous article, PostgreSQL Write-Ahead Log (WAL): Durability, Performance Tuning, and Recovery Explained, we explored how PostgreSQL ensures data durability and crash recovery through its Write-Ahead Log mechanism. That discussion focused on how every change in the database is first written to WAL before being applied to the data files, the foundation of PostgreSQL’s…
PostgreSQL is known for its reliability, it keeps your data safe even during crashes or power failures.The secret behind this reliability is a core feature called WAL (Write-Ahead Log). In this article, we’ll explore how WAL works, how to tune it for performance, how it supports recovery, and how to monitor it effectively.
PostgreSQL is one of the most reliable open-source databases. It provides strong consistency, good performance, and flexible replication features that support high availability (HA) systems. In this article, we will explore how PostgreSQL replication works, from simple master–replica setups to multi-master clusters and replication lag monitoring.