Distributed Data in PostgreSQL with postgres_fdw: A Guide to Enhanced Performance and Flexibility
postgres_fdw allows seamless access into external PostgreSQL databases as if it were local to your current database...
Incremental Sort in PostgreSQL: A Developer’s Guide
By following best practices and query optimization techniques, you can leverage incremental sort in PostgreSQL and enhance query performance.
Improving UPDATE query performance using Heap-Only Tuples (HOT)
Heap-Only Tuples allow a significant boost in UPDATE query performance allowing businesses to scale their PostgreSQL for critical data.
A look at PostgreSQL’s journey over 5 years in Stack Overflow’s Developer Survey
A look at 5 year trends of database popularity, focusing on PostgreSQL, based on Stack Overflow's annual developer survey
Data inconsistency in highly available PostgreSQL clusters
If nodes in a database cluster get out of sync, the inconsistency can cause data corruption. This blog describes what to watch out for.
Disruptions caused by false alarms in highly available PostgreSQL clusters
False alarms can be a significant problem in highly available clusters of PostgreSQL. They can cause unnecessary downtime and disruptions that can impact the performance of the nodes.
pg_stat_statement – Benefits and Shortcomings [PGSQL Phriday #008]
pg_stat_statement is the essential extension that provides valuable insights into the query performance of a PostgreSQL database.
Challenges with Network Latency in Highly Available PostgreSQL Clusters
Network latency between nodes of a highly available PostgreSQL cluster can cause service disruptions and data loss.
Split-Brain in PostgreSQL Clusters – Causes, Prevention, and Resolution
Split brain is when a highly available system, such as a PostgreSQL cluster, becomes fragmented due to a network partition.
Triggers in PostgreSQL: Love them or hate them? [PGSQL Phriday #007]
Triggers are a powerful tool in PostgreSQL. However, they can be a double-edged sword, causing confusion and performance issues if not used carefully.