PostgreSQL server configuration parameters for optimization and database performance.

We can get the best performance out of their PostgreSQL database by tracking key performance metrics. Keeping these metrics on your dashboard will help. Ignoring these problems could result in a plunge in the productivity of Postgresql. Here I want to explain how to monitor PostgreSQL, I added in details what exactly you should be looking at when monitoring the performance of your database. There are several key metrics you’ll definitely want to keep track of when it comes to database performance

Database Connection Parameters

A PostgreSQL database server can have multiple active connections running concurrently in the database. If the number of connections is high, you may need to analyze the state of these user sessions, and terminate idle sessions that are slowing down the server.

Replication Parameters

Replication is a process wherein data is copied from a database on master to a database on slaves. PostgreSQL offers an internal streaming replication service that creates a high-availability environment, balances the load of read-only queries across several nodes, creates a read-only database to run analytical queries on, and many other pivotal functions. Monitoring replicas is a pivotal aspect of PostgreSQL monitoring as replicas can sometimes go out of sync.

Throughput Parameters

It represent the amount of data processed in particular time. It is a composite of I/O speed, CPU speed, parallel capabilities of the machine, and the efficiency of the operating system and system software.

Locks Parameters

PostgreSQL provides various lock modes to control concurrent access to data in tables. This mechanism ensures consistency of data in the database. Looking at pg_locks shows you what locks are granted and what processes are waiting for locks to be acquired.

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