Postgres monitoring

It was developed with a focus on stored procedure performance but extended well beyond that. For example the check_pgactivity plugin allows you to view the connectivity, streaming replication lag, database hit-ratio, index bloat, and more. Several tools are available for monitoring database activity and analyzing performance. DBAs and developers use pganalyze to identify the root cause of performance issues, optimize queries and to get alerts about critical issues. Try a free, fully functional day trial of Nagios XI now.

Proactively monitoring databases is one of the best ways to ensure a smooth long-term operation with minimal downtime and predictable costs. Database monitoring offers several high-level and low-level benefits. Among the low-level benefits, database monitoring allows for better time and resource utilization. Online view current locks pg_locks view.

Looking at pg_locks shows you what locks are granted and what processes are waiting for locks to be acquired. Track slow database performance by monitoring the number of active connections with the database. What are you using for your other monitoring , e. Dash shows you information and metrics about every aspect of your. This does impose a small amount of overhead in the database. Major changes between 1. Basic concepts of monitoring.

What need to be monitored in postgres. What level monitoring has to be done. In addition, due to its extensibility, it provides the means to develop new modules into the core system. Queries to monitor postgresql. Monitoring is a great part of this responsibility.

Dashboard que coleta as seguintes. PostgreSQL monitoring can be customized and extended with minimum efforts. PGWatch is a comprehensive monitoring solution for PostgreSQL. It includes numerous graphics that give you an instant overview of the health of your server.

ClusterControl for PostgreSQL. Each deployed PostgreSQL instance is automatically configured using our easy to use point-and-click interface. Learn how to monitor native PostgreSQL replication using the system views and functions PostgreSQL provides. Specific queries are also provided.

This tutorial assumes you have already setup 1) streaming replication between a primary and a replica PostgreSQL database cluster, and 2) are using replication slots. We’ve also walked through an example of how to auto-instrument traces from an application that relies on PostgreSQL. If you’ve followed along, you should now have increased visibility into your PostgreSQL databases, as well as the applications that rely on them.

If you’re new to Datadog, you can start monitoring PostgreSQL with a free trial.