Identify slow-moving queries quickly and easily.
PostgreSQL is used as the primary data store or data granary for many webs, mobile, geospatial, and analytics applications. Devaten Agent to automatically aggregate metrics and make them visible on a customizable dashboard that shows you how these metrics evolve over time. As Postgresql’s have these features we are supporting for it in our application.
Enhance App Reliability & Collaboration Across Teams
Monitor Key Database Metrics Alongside the Rest of Your Stack
There is no need for large and complex code lines for data extraction. One reason for using PostgresSQL is that it does not require extensive coding and program writing knowledge. It is easy to maintain database systems without having to write a good amount of code. There is no need for large complex lines of code for data extraction.
You can edit any of the queries you have created for the monitoring server or for an ODBC-compliant database. You might want to modify a query to add a filter that keeps unnecessary data from cluttering the view and slowing the return of data
Devaten collects explain plans continuously, so a given query can have multiple plans in different recordings. Those plans are normalized and shown separately so that you can see if a query has plans that perform better or have higher relative cost than others. For example, the following shows explain plans for a query, and it also suggest to add index as recommendation
Monitoring That’s Simple to Deploy and Effortless to Manage
To get the information of the tables of a database, we don’t need any permissions or privileges of the user. “Table information table” refers to checking the table structure. We can use various examples with variety in their usage leads to gain the description of the data. This will be understood by you while reading the article.